<h3>Job Description</h3>
Job Descriptionhatch I.T. is partnering with Expression to find a&nbsp;Database Engineer. See details below: About The Role:As a Senior Data Engineer at Expression, you will help design, build, and improve the data platform that enforces quality and governance to provide timely, trustworthy analysis across enterprise systems. The ideal candidate thrives in a highly technical, collaborative environment and has a bias for action. They are comfortable taking ownership, elevating their team through clear communication and solid technical judgment, and consistently improve how we build and operate our data systems. About the Company:Founded in 1997 and headquartered in Washington DC, Expression provides data fusion, data analytics, software engineering, information technology, and electromagnetic spectrum management solutions to the U.S. Department of Defense, Department of State, and national security community. Expression’s “Perpetual Innovation” culture focuses on creating immediate and sustainable value for their clients via agile delivery of tailored solutions built through constant engagement with their clients. Expression was ranked #1 on the Washington Technology 2018's Fast 50 list of fastest growing small business Government contractors and a Top 20 Big Data Solutions Provider by CIO Review.Responsibilities:
<ul>
<li>Build end-to-end data solutions that include ingest, logging, validation, cleaning, transformation, and security.</li>
<li>Lead the design, development, and delivery of scalable data pipelines and ETL processes.</li>
<li>Design and evolve robust data models and storage patterns that support analytics and efficiency use-cases.</li>
<li>Treat data as a product: define quality standards and checks, SLAs, and observability to ensure data is accurate and trustworthy.</li>
<li>Maintain client-facing relationships and lead product demonstrations.</li>
<li>Contribute to the evolution of Expression’s VOR Data Platform; including tooling, standards, and automation.</li>
<li>Participate in research, case studies, and prototype development to explore and leverage cutting-edge technologies, including agentic AI solutions.</li>
</ul>
Required Qualifications:
<ul>
<li>Combined 10+ years of experience and education in Computer Science, Information Systems, Software Engineering, Data Science, or related field. Advanced degree in a related field is a plus.</li>
<li>Experience building and maintaining ETL/ELT data pipelines, big data platforms or data lake architectures, and Data Visualization/BI tools like Tableau, PowerBI, or Superset.</li>
<li>Experience with query performance optimization and tuning at scale.</li>
<li>Knowledgeable in Generative AI tools and technologies.</li>
<li>Strong written and oral communication skills to deliver design documents, technical reports, and presentations to a variety of technical and non-technical audiences.</li>
<li>Secret or Top Secret Clearance Required</li>
</ul>
Preferred Qualifications:
<ul>
<li>Experience with cloud-native data solutions leveraging AWS or Azure.</li>
<li>Experience with PostgreSQL, ElasticSearch, MongoDB, and graph databases.</li>
<li>Experience with GenAI enabled daily workflows (coding, testing, analytics).</li>
<li>Experience leading agile teams, enabling short release cycles and continuous delivery</li>
</ul>
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Senior Data Engineer

<h3>Job Description</h3>
Job DescriptionOpen Source Collection Specialist (OSINT Analyst) Location: Washington, D.C. | Type: Full-Time | Clearance: TS/SCI + DHS Suitability Note: This position is part of an active proposal effort and is contingent upon contract award. Overview DarkStar Intelligence is seeking Open Source Collection Specialists (OSINT Analysts) to support the Department of Homeland Security (DHS) Office of Intelligence and Analysis (I&amp;A), specifically the Open Source Intelligence Division (OSID) and Intelligence Watch and Coordination Center (IWCC). The OSINT Specialist provides 24/7/365 open-source collection, analysis, and dissemination of publicly available information (PAI) in support of national homeland security missions. This role identifies, collects, and aggregates information from the surface, deep, and dark web to address DHS information requirements and emergent threats. Key Responsibilities
<ul>
<li>Conduct open source collection to support tactical and operational intelligence requirements.</li>
<li>Identify, collect, and analyze OSINT, social media, gray literature, and other publicly available information using Government-approved tools.</li>
<li>Produce daily, weekly, and monthly intelligence summaries and reports as directed or in response to RFIs.</li>
<li>Develop and maintain analytical procedures to meet evolving mission requirements and ensure operational effectiveness.</li>
<li>Support DHS I&amp;A Watch operations by providing real-time collection on emergent threats, breaking events, and crisis situations.</li>
<li>Maintain situational awareness and conduct information exchanges with DHS I&amp;A, the Intelligence Community (IC), and Federal, State, Local, Tribal, Territorial, and Private (FSLTTP) partners.</li>
<li>Identify new sources of publicly available information across the surface, deep, and dark web.</li>
<li>Support the development of OSINT targeting and exploitation techniques, tools, and tradecraft.</li>
<li>Assist with developing OSINT collection plans and disseminating information products.</li>
<li>Support DHS exercises by providing analytical input and participating in scenario development and execution.</li>
<li>Provide foreign language translation support using approved online resources as needed.</li>
<li>Follow DHS-approved procedures for transmitting, sharing, and safeguarding sensitive or classified information.</li>
</ul>
Minimum Qualifications
<ul>
<li>Active TS/SCI and DHS Suitability determination.</li>
<li>Bachelor’s degree or higher in International Studies, Intelligence, Homeland Security, Criminal Justice, or a related field from an accredited institution.</li>
<li>Minimum of six (6) years of experience performing Open Source Collection in support of tactical and operational intelligence missions.</li>
<li>Understanding of DHS I&amp;A authorities, component missions, and intelligence processes.</li>
<li>Knowledge of open source domains, including surface, deep, and dark web.</li>
<li>Knowledge of multiple collection techniques, planning, and dissemination practices</li>
</ul>
Desired Qualifications
<ul>
<li>Experience supporting DHS I&amp;A or Intelligence Community watch and warning operations.</li>
<li>Familiarity with Homeland Security Priority Framework (HIPF) alignment.</li>
<li>Experience developing OSINT methodologies, policy, and tradecraft.</li>
<li>Demonstrated ability to brief senior leadership and write for executive audiences.</li>
<li>Experience mentoring or leading small analytic teams.</li>
</ul>
Compensation &amp; Benefits Compensation will be based on qualifications and experience. Contact&nbsp;<a href="mailto:recruiting@darkstarintel.com" target="_blank">recruiting@darkstarintel.com</a>&nbsp;for details. Additional Details
<ul>
<li>Travel: As required.&nbsp;</li>
<li>Work Environment: On-site, within a secure DHS facility;&nbsp;24/7/365 rotational shift schedule supporting around-the-clock operations.</li>
</ul>
Security Note
<ul>
<li>U.S. citizenship required.</li>
<li>Must obtain and maintain DHS Suitability.</li>
<li>Adherence to DHS security protocols, including training, NDAs, and proper handling of SBU and classified information.</li>
</ul>
About DarkStar Intelligence
DarkStar Intelligence is a Service-Disabled Veteran-Owned Small Business (SDVOSB) committed to advancing national security through mission support and tradecraft development. We prioritize both client satisfaction and employee retention, delivering high-quality, intelligence-based solutions grounded in our “Core Four” values: 
<ul>
<li>Humility: We place mission success above personal recognition.</li>
<li>Passion: We bring enthusiasm and dedication to every challenge.</li>
<li>Agility: We adapt quickly to evolving operational needs.</li>
<li>Ownership: We hold ourselves accountable for results and uphold the highest standards of excellence.</li>
</ul>
We are mission-driven and results-oriented, striving to make our country safer through every task we undertake.
Equal Employment Opportunity (EEO) Commitment
At DarkStar Intelligence LLC, we are committed to maintaining a professional and legally compliant work environment where individuals are treated with respect and fairness. We adhere strictly to all applicable Equal Employment Opportunity (EEO) laws and regulations.
Employment decisions at DarkStar are made solely on the basis of individual qualifications, performance, and business needs. We prohibit discrimination in all aspects of employment—including hiring, compensation, promotion, training, discipline, and termination—on the basis of: Race or color, Religion, Sex (including pregnancy, sexual orientation, and gender identity), National origin, Age, Disability, Genetic information, Veteran status. Or any other status protected by applicable federal, state, or local law
Our EEO standards are embedded in all employment practices to ensure compliance, fairness, and accountability. We enforce a zero-tolerance policy for unlawful discrimination or harassment and encourage employees to report concerns without fear of retaliation.
EEO Flyer: shorturl.at/abpNX
Employee Benefits
DarkStar Intelligence provides a competitive and comprehensive benefits package to support the health, financial stability, and personal well-being of our team members.
Core Benefits for employees:
<ul>
<li>Health Coverage: Medical, dental, and vision plans</li>
<li>Income Protection: Life insurance, short-term disability, and long-term disability</li>
<li>Retirement Planning: 401(k) plan with employer contributions</li>
<li>Work-Life Support: Employee Assistance Program (EAP) and legal services</li>
<li>Paid Leave: Generous PTO, 11 paid federal holidays, and one floating holiday</li>
</ul>
Voluntary Benefits:
<ul>
<li>Legal &amp; Identity Protection: LegalShield and IDShield</li>
<li>Additional Insurance: Whole life, accident, and critical care coverage</li>
</ul>
We believe in recognizing and supporting the professionals who make our mission possible. Your well-being is an investment in our collective success.
Powered by JazzHR
pR10PO16X1

Open Source Collection Specialist

<h3>Job Description</h3>
Job DescriptionCompany Overview
ID.me is the next-generation digital identity wallet that simplifies how individuals securely prove their identity online. Consumers can verify their identity with ID.me once and seamlessly login across websites without having to create a new login and verify their identity again. Over 152 million users experience streamlined login and identity verification with ID.me at 20 federal agencies, 45 state government agencies, and 70+ healthcare organizations. More than 600+ consumer brands use ID.me to verify communities and user segments to honor service and build more authentic relationships. ID.me's technology meets the federal standards for consumer authentication set by the Commerce Department and is approved as a NIST 800-63-3 IAL2 / AAL2 credential service provider by the Kantara Initiative. ID.me is committed to "No Identity Left Behind" to enable all people to have a secure digital identity. To learn more, visit <a href="https://network.id.me/" target="_blank">https://network.id.me/</a>.
Role Overview
We are seeking a Fraud Data Scientistto gather critical insights and identify and analyze fraud patterns across the ID.me network. In this role, you will work closely with the Fraud Analytics Team, Fraud Investigations Team, Engineering, Product and Customer Success to execute on ID.me's fraud strategy. If you are data-driven, results-oriented, and eager to help solve data problems related to fraud, then this would be the perfect opportunity for you.
Responsibilities
<ul>
<li>Partner with fraud leadership and fraud investigators to develop our fraud strategy</li>
<li>Design experiments, test hypotheses, and analyze fraud patterns that are effective at detecting fraud with low false positive rates</li>
<li>Leverage data analytics evaluate, recommend, and manage fraud strategies to prevent fraudulent activity on the ID.me network</li>
<li>Respond quickly to fraud attacks by developing fraud monitoring frameworks, dashboards, and solutions in collaboration with cross-functional teams</li>
<li>Recommend and build automated rules and models to support the detection and prevention of fraudulent activity</li>
<li>Use signals and data collected by member interactions with the ID.me network to identify the use of stolen Personal Identifiable Information (PII), social engineering, and account takeover (ATO)</li>
<li>Establish robust monitoring capabilities to ensure high performance of both automated and manual fraud detection processes</li>
<li>Build strong relationships with key partners and the leadership</li>
</ul>
Basic Qualifications
<ul>
<li>2+ years of hands-on experience in fraud analytics or a high-tech mature startup</li>
<li>1+ years of experience with deep learning frameworks such as Tensorflow, Tensorflow Recommenders, Pytorch, MXNet, Keras</li>
<li>MS in a highly quantitative field (Computer Science, Engineering, Math, Operations Research, Physics, Statistics, or related)</li>
</ul>
Preferred Qualifications
<ul>
<li>Experience with SQL &amp; the Python ML ecosystem - pandas, numpy, sklearn, etc. </li>
<li>Experience with Time Series Prediction models &amp; one or more deep learning libraries</li>
<li>Experience in developing, managing, and manipulating large, complex datasets</li>
<li>Data-driven, detail-oriented individual with excellent storytelling and problem-solving abilities</li>
<li>Ability to work independently and autonomously, as well as part of a team</li>
<li>Superb time management, prioritization of tasks and ability to meet deadlines with little supervision</li>
</ul>
This role is based out of our Mountain View, CA or McLean, VA offices and requires full-time in-office attendance.
The annual base salary listed does not include a company bonus, incentive for sales roles, equity and benefits which will be determined based on experience, skills, education, relevant training, geographic location and role. 
ID.me offers comprehensive medical, dental, vision, health savings account, flexible spending accounts (medical, limited purpose, dependent care, commuter benefit accounts), basic and voluntary life and AD&amp;D insurance, 401(k) with company match, parental leave, ability to participate in unlimited paid time off subject to the terms and conditions of the PTO policy, including 8 company wide holidays, short and long-term disability insurance, accident and critical illness insurance, referral bonus policy, employee assistance program, pet insurance, travel assistant program, wellbeing and childcare discounts, benefit advocates, and a learning and development benefit.
The above represents the anticipated total rewards package for this job requisition. Final offers may vary from the amount listed based on qualifications, professional experiences, skills, education, relevant training, geographic location, and other job related factors.
U.S. Pay Range$130,000—$188,000 USDMountain View, CA Pay Range$158,000—$212,000 USD
ID.me is a full-time, in-office culture. Unless a specific job description explicitly states otherwise, all roles are on-site five days per week at one of our offices in McLean, VA; Mountain View, CA; New York City, NY; or Tampa, FL. Certain roles — such as field-based sales or other remote-by-design positions — may have different work arrangements as noted in their individual postings.
ID.me maintains a work environment free from discrimination, where employees are treated with dignity and respect. All ID.me employees share in the responsibility for fulfilling our commitment to equal employment opportunity. ID.me does not discriminate against any employee or applicant on the basis of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. ID.me adheres to these principles in all aspects of employment, including recruitment, hiring, training, compensation, promotion, benefits, social and recreational programs, and discipline. In addition, ID.me's policy is to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works. Upon request we will provide you with more information about such accommodations.
Please review our Privacy Policy, including our CCPA policy, at id.me/privacy. If you provide ID.me with any personally identifiable information you confirm that you have read and agree to be bound by the terms and conditions set out in our Privacy Policy.
ID.me participates in E-Verify.

Fraud Data Scientist

<h3>Job Description</h3>
Job DescriptionCodeworks is an IT Services firm headquartered in SE Wisconsin, known for our strong commitment to quality and for our direct client relationships. Position Overview Our Client, is seeking a skilled Data Engineer to join our remote team. This role is ideal for professionals experienced in designing and implementing data ingestion and pipeline processes on the Google Cloud Platform (GCP). You will work closely with both technical and business teams to transform requirements into efficient, scalable data workflows using industry-standard practices and tools such as BigQuery, Pub/Sub, Cloud Composer, and Dataform. This is a great opportunity for someone looking to contribute to impactful data solutions in a collaborative and innovative environment. This is a 100% Remote, Contract position. Responsibilities Design, develop, and implement data ingestion and pipeline workflows based on business and technical requirements. Independently and collaboratively contribute to team efforts, keeping stakeholders informed throughout. Translate business requirements into detailed technical specifications. Develop, configure, test, debug, and document scalable data solutions. Write complex SQL queries to extract, analyze, and troubleshoot data issues. Execute unit, system, integration, and user acceptance testing with thorough documentation. Participate in project planning, potentially taking ownership of projects with limited scope. Estimate development time for budgeting and track progress for project visibility. Conduct peer reviews of designs, code, and configurations. Provide ongoing technical support and ensure adherence to data security and development standards. Participate in an on-call rotation for production support (every 4–6 weeks, depending on staffing). Qualifications Bachelor’s Degree (4-Year) in Computer Science, Engineering, or a related field. 3+ years of professional experience in data engineering and hands on with the following: Google Cloud Platform (GCP) Google Pub/Sub BigQuery Google Dataform Google Cloud Storage Cloud Composer SQL (Structured Query Language) GitHub Preferred/Good to Have: Cloud Data Fusion Experience with DBMS systems (SQL Server, DB2, Oracle) RESTful API and SOAP Web Service integration Experience with Jira and Confluence Experience integrating with other Google Cloud resources and services About Codeworks: Codeworks has over 25 years of experience serving Fortune 1000 companies in Wisconsin as well as our client's national locations. Our recruiting team excels at evaluating, advising, and connecting IT professionals with new opportunities that will satisfy their expectations regarding income and opportunity for growth. At Codeworks, we're committed to diversity, equity, and inclusion in our workforce and beyond. We believe in equal opportunities and value the unique perspectives that every individual brings to our team. Join us in creating an inclusive, innovative, and collaborative workplace where your talents can thrive. Codeworks is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Codeworks, LLC discloses that the anticipated hourly pay range for this position is between $35 and $40. This range is subject to change based on job-related factors, including client requirements where applicable. All full time Codeworks employees are eligible to enroll in the company’s medical, dental, vision, and life insurance plans. Additionally, employees can participate in Codeworks’ 401(k) retirement plan. #LI-KN1

Data Engineer

<h3>Job Description</h3>
Job DescriptionAbout Infinitive: Infinitive is a data and AI consultancy that enables its clients to modernize, monetize and operationalize their data to create lasting and substantial value. We possess deep industry and technology expertise to drive and sustain adoption of new capabilities. We match our people and personalities to our clients' culture while bringing the right mix of talent and skills to enable high return on investment. Infinitive has been named “Best Small Firms to Work For” by Consulting Magazine 7 times most recently in 2024. Infinitive has also been named a Washington Post “Top Workplace”, Washington Business Journal “Best Places to Work”, and Virginia Business “Best Places to Work.” Job Summary: We are seeking a motivated Junior Data Engineer to support our data engineering initiatives by building and maintaining scalable data pipelines on AWS. The ideal candidate has 1–2 years of hands-on experience with Python, PySpark, and cloud-based data platforms, and is eager to grow their technical skills in a fast-paced, collaborative environment. Key Responsibilities:
<ul>
<li>Develop, test, and maintain data pipelines using Python and PySpark</li>
<li>Ingest, transform, and clean structured and semi-structured data from multiple sources</li>
<li>Collaborate with senior data engineers and analysts to support data infrastructure needs</li>
<li>Deploy and monitor data workflows on AWS using services like S3, Lambda, Glue, and EMR</li>
<li>Document processes, data models, and pipeline logic clearly for stakeholders</li>
<li>Troubleshoot data issues and assist in performance tuning of jobs and queries</li>
</ul>
 Required Qualifications:
<ul>
<li>Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or related field</li>
<li>1–2 years of hands-on experience with Python and PySpark</li>
<li>Working knowledge of AWS cloud services (e.g., S3, Lambda, Glue, EMR)</li>
<li>Proficiency with SQL for querying and data manipulation</li>
<li>Basic understanding of data warehousing concepts and ETL processes</li>
<li>Familiarity with version control systems like Git</li>
</ul>
 Preferred Qualifications:
<ul>
<li>Experience with workflow orchestration tools like Apache Airflow or AWS Step Functions</li>
<li>Exposure to data cataloging and metadata management tools</li>
<li>Understanding of data lake and data warehouse architectures (e.g., Redshift, Snowflake, BigQuery)</li>
<li>Ability to work in Agile development environments</li>
<li>Strong problem-solving and communication skills</li>
</ul>
Powered by JazzHR
X9w9MUDdwJ

Junior Data Engineer

<h3>Job Description</h3>
Job Description
Senior Data Scientist (TS/SCI)
Location: Hybrid in Ashburn, VA w/telework available
Ninja Analytics is looking for a Senior Data Scientist to help lead the development and delivery of high-quality predictive modelling solutions. Successful applicants will serve as recognized subject matter experts in the application of quantitative methods, machine learning algorithms, and predictive models to address complex national and homeland security challenges. They will help our team to leverage large structured and unstructured datasets to develop and operationalize models, tools, and applications that drive optimized decision making. Project tasks include data collection, mining, data and text analytics, clustering analysis, pattern recognition and extraction, automated classification and categorization, and entity resolution to implement and enhance automated risk assessment. The products we develop provide actionable insight with real and immediate impact on the safety and security of the United States, its citizens, visitors, and economy.
The strongest applicants will offer multiple years of experience in highly dynamic, threat/risk driven operating environments. They will also have a proven track record of delivering production ready decision support tools and applications employed in the field and by mission-support entities. Applicants will have a demonstrated capacity to work closely and collaboratively with mission stakeholders; respond to emergent, mission-driven changes in priorities and expected outcomes; and apply new and emerging tools and techniques. Within three - six months of joining the project, data scientists will be expected to:
<ul>
<li>Perform hands-on analysis and modeling involving the creation of intervention hypotheses and experiments, assessment of data needs and available sources, determination of optimal analytical approaches, performance of exploratory data analysis, and feature generation (e.g., identification, derivation, aggregation).</li>
<li>Collaborate with mission stakeholders to define, frame, and scope mission challenges where big data interventions may offer important mitigations and develop robust project plans with key milestones, detailed deliverables, robust work tracking protocols, and risk mitigation strategies.</li>
<li>Demonstrate proficiency in extracting, cleaning, and transforming CBP transactional and mission data associated within an identified problem space to build predictive models as well as develop appropriate supporting documentation.</li>
<li>Leverage knowledge of a variety of statistical and machine learning techniques and methods to define and develop programming algorithms; train, evaluate, and deploy predictive analytics models that directly inform mission decisions.</li>
<li>Execute projects including those intended to identify patterns and/or anomalies in large datasets; perform automated text/data classification and categorization as well as entity recognition, resolution and extraction; and named entity matching.</li>
<li>Brief project management, technical design, and outcomes to both technical and non-technical audiences including senior government stakeholders throughout the model development/ project lifecycle through written as well as in-person reporting.</li>
</ul>
Qualifications
Education:
<ul>
<li>Bachelor’s Degree (required), Master’s or Ph.D. degree (preferred) in operations research, industrial engineering, mathematics, statistics, computer science/engineering, or other related technical fields with equivalent practical experience.</li>
</ul>
Required Qualifications
<ul>
<li>12+ years of related experience</li>
<li>Experience in developing machine learning models and applying advanced analytics solutions to solve complex business problems</li>
<li>Experience with programming languages including: R, Python, Scala, Java.</li>
<li>Proficiency with SQL programming</li>
<li>Experience constructing and executing queries to extract data in support of EDA and model development</li>
<li>Proficiency with statistical software packages including: SAS, SPSS Modeler, R, WEKA, or equivalent</li>
<li>Experience with pattern recognition and extraction, automated classification, and categorization</li>
<li>Experience with entity resolution (e.g., record linking, named-entity matching, deduplication/ disambiguation)</li>
<li>Experience with unsupervised and supervised machine learning techniques and methods</li>
<li>Experience performing data mining, analysis, and training set construction</li>
</ul>
Desired Qualifications
<ul>
<li>Proficiency with Unsupervised Machine Learning methods including Cluster Analysis (e.g., K-means, K-nearest Neighbor, Hierarchical, Deep Belief Networks, Principal Component Analysis), Segmentation, etc.</li>
<li>Proficiency with Supervised Machine Learning methods including Decision Trees, Support Vector Machines, Logistic Regression, Random/Rotation Forests, Categorization/Classification, Neural Nets, Bayesian Networks, etc.</li>
<li>Experience with pattern recognition and extraction, automated classification, and categorization</li>
<li>Experience with entity resolution (e.g., record linking, named-entity matching, deduplication/ disambiguation)</li>
<li>Experience with visualization tools and techniques (e.g., Periscope, Business Objects, D3, ggplot, Tableau, SAS Visual Analytics, PowerBI)</li>
<li>Experience with big data technologies (e.g., Hadoop, HIVE, HDFS, HBase, MapReduce, Spark, Kafka, Sqoop)</li>
</ul>
Security Clearance:
Selected applicants must be a US Citizen and able to obtain and maintain a Top Secret Security Clearance

Senior Data Scientist (TS/SCI)

<h3>Job Description</h3>
Job Description
Position Summary
This is an ONSITE position located in Honolulu, HI. TS/SCI Clearance required.
National Capitol Contracting is seeking a Data Scientist to support the Naval Sea Systems Command (NAVSEA) and the Shipboard Maintenance Performance Group (SMPG) and help bring cutting edge data analytics to the Navy Fleet Shipyards. 
Essential Duties and Responsibilities
<ul>
<li>Assist in the stand-up (both technical and functional) of the Data Analytics Lab located at NAVSEA Naval Shipyards, recommend software/hardware analytics and data management toolsets, and recommend functional responsibilities for the other SMDAL staff members.</li>
<li>Assist in the development of data procedures and policies, govern data assets, and improve the quality and access to data across the organization.</li>
<li>Analyze and streamline the processes and technology for using data to manage ship maintenance operations, and draw valuable insights from data through data science and business intelligence.</li>
<li>Assist in the implementation of industry best practices, selection of enabling tools and technologies, driving innovation, and contributing to new service offerings for our ship maintenance stakeholders.</li>
<li>Assist in the development of policies and procedures to ensure corporate data systems information protection, data governance, data quality, and data life cycle management.</li>
</ul>
Government Security Clearance Requirement
<ul>
<li>TS/SCI and willingness to undergo a CI and/or FS polygraph is required.</li>
</ul>
Minimum Requirements
<ul>
<li>Bachelors degree in Computer Science, Data Science, Computational Science, or related field.</li>
<li>5+ years experience within Data Science/Data Warehousing.</li>
<li>Experience building and leading data management and analytics projects and initiatives for Federal clients.</li>
<li>Ability to concisely and convincingly communicate (both verbally and written) with both technical and non-technical stakeholders.</li>
<li>Experience using data for descriptive, diagnostic, predictive, and prescriptive analytics.</li>
<li>Knowledge of big data technology infrastructure and environments.</li>
<li>Experience within Data warehousing and ETL processes.</li>
<li>Proficient in a broad range of data tools and technologies (e.g., Oracle, SQL, SAP IQ, etc.), visualization/analytics tools (e.g., Tableau, Qlik, MicroStrategy, SAP Business Objects, etc.), as well as machine languages (e.g., Python, R/RStudio, Java, C#, SQL, etc.)</li>
<li>Experience in developing machine learning models.</li>
<li>Results-driven, creative, and analytical.</li>
<li>Strong leadership and ability to work within cross-functional groups.</li>
</ul>
Preferred Qualifications
<ul>
<li>Masters of Science Degree in Computer Science, Data Science, Computational Science or related field.</li>
</ul>
Special Position Requirements
Environment/Physical Demands: Office Setting, sitting for long periods of time, and utilizing computer/screens for long periods of time.
 
 
 
 
NCC provides reasonable accommodations to qualified individuals with disabilities. If you are an applicant that requires areasonable accommodation, please email us at <a href="mailto:recruiting@nccsite.com" target="_blank">recruiting@nccsite.com</a>. Please reference the position in your email. NCC is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, ethnicity, ancestry, color, sex, religion, creed, age, national origin, citizenship status, disability, medical condition, military and veteran status, marital status, sexual orientation or perceived sexual orientation, gender, gender identity, and gender expression, familial status, political affiliation, genetic information, or any other legally protected status or characteristic. E-Verify Employer. VEVRAA Federal Contractor.

Data Scientist

<h3>Job Description</h3>
Job Description 📍 McLean, Virginia | 🕒 Full-Time | 🔒 TS/SCI with Polygraph | Onsite Overview Lucayan Technology LLC is seeking a talented&nbsp;Data Scientist&nbsp;to join our growing team in&nbsp;McLean, VA. As a Data Scientist with Lucayan, you will apply advanced data science techniques to extract insights from complex datasets, support mission-critical decision-making, and deliver innovative analytics for the Intelligence Community. What You’ll Do
<ul>
<li>Collect, clean, and analyze&nbsp;large, complex datasets&nbsp;from diverse sources.</li>
<li>Develop and implement&nbsp;machine learning models, predictive analytics, and statistical algorithms.</li>
<li>Evaluate and optimize models for accuracy and scalability.</li>
<li>Communicate analytic insights and recommendations to stakeholders and leadership.</li>
<li>Design visualizations, dashboards, and reports to present findings effectively.</li>
<li>Collaborate with engineers, analysts, and mission teams to solve operational challenges.</li>
<li>Stay up to date on&nbsp;data science and AI/ML trends&nbsp;to deliver innovative solutions.</li>
</ul>
 Do You Have What It Takes? Required:
<ul>
<li>Active&nbsp;TS/SCI with Polygraph.</li>
<li>Bachelor’s degree in a quantitative field (Data Science, Math, Statistics, Computer Science).</li>
<li>3+ years of experience&nbsp;in data science, analytics, AI/ML, or quantitative analysis.</li>
<li>Proficiency with&nbsp;Python, R, SQL/PostgreSQL, GitLab.</li>
<li>Hands-on experience analyzing&nbsp;large-scale datasets.</li>
<li>Experience with&nbsp;Palantir Foundry/Gotham&nbsp;tools.</li>
<li>Ability to convey complex data insights to non-technical audiences.</li>
</ul>
Preferred:
<ul>
<li>Experience with telecommunications metadata analysis.</li>
<li>Exposure to&nbsp;SIGINT, counterintelligence, or cyber operations.</li>
<li>Familiarity with&nbsp;cloud platforms&nbsp;(AWS, Spark, Kafka).</li>
<li>Experience with Agile project workflows (Scrum, Jira, Confluence).</li>
</ul>
 About Lucayan Technology LLC Lucayan Technology LLC delivers&nbsp;mission-focused cybersecurity, analytics, and engineering solutions&nbsp;to the&nbsp;Department of Defense and Intelligence Community. Our Data Scientists transform raw data into actionable intelligence, empowering warfighters and decision-makers with advanced analytics and AI/ML solutions. By joining Lucayan, you will:
<ul>
<li>Contribute directly to&nbsp;national security missions.</li>
<li>Work in a collaborative environment alongside government and industry experts.</li>
<li>Gain access to professional development and career growth opportunities.</li>
<li>Be part of a company that values&nbsp;innovation, integrity, and excellence.</li>
</ul>
 👉&nbsp;Apply today&nbsp;and help Lucayan harness the power of data to secure the future. &nbsp;
Powered by JazzHR
8g6Z7xem4y

Data Scientist - Level I

<h3>Job Description</h3>
Job DescriptionZoox is building advanced self-driving hardware and software solutions. To attain the utmost efficiency that the system demands, we need you - an expert who understands how to deal with telemetry data from a growing fleet of vehicles. You will be instrumental in finding &amp; detecting performance-related trends and anomalies across the robot fleet. The Software Performance team’s mission is to analyze, optimize and provide guidance to the software and hardware teams in order to meet expected system performance and software stability targets. As an automation engineer within the Software Performance team, you will create automated monitoring and analysis for performance tooling into the software release process to identify fleet-wide trends or anomalies and put detailed performance data at the fingertips of performance experts for quick and efficient investigations.In this role, you will:
<ul>
<li>Automate common workflows &amp; processes for performance data storage and analysis.</li>
<li>Contribute to new data products to enable Engineering and Operations teams to gain access to insights from our varied and complex autonomous vehicle fleet dataset.</li>
<li>Make data more accessible to the rest of the software organization to get insights into stability and performance issues via standardized queries, dashboards, and automated alerts.</li>
<li>Create custom data queries on a large pool of dense performance metrics and build automation flows to extract relevant log segments for efficient triage &amp; investigation.</li>
<li>Work cross-functionally to create automatic detection of anomalies in performance or stability metrics across the fleet and devise automatic triage pipelines to steer them to the best owners.</li>
</ul>
Qualifications
<ul>
<li>7+ years of professional experience in software development or related fields and BS in computer science or related field</li>
<li>Proficient with building data pipelines that ingest very large amounts of data from vehicles and structure it in ways that is quick and easy to execute queries on</li>
<li>Strong knowledge of Python &amp; SQL and continuous integration systems (Github/Gitlab CI, Jenkins, etc)</li>
<li>Savvy with efficient queries on data platforms such as DataBricks, Looker, and with ETL pipelines</li>
<li>Solid statistical inference skills, with the ability to communicate uncertainty appropriately to engineering and business stakeholders</li>
</ul>
Bonus Qualifications
<ul>
<li>Familiarity with Git and Bazel</li>
<li>Proficiency with LLMs and agentic AI for process automation</li>
<li>Experience with large-scale vehicle or device health telemetry</li>
</ul>
 Base Salary Range There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.About ZooxZoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn AccommodationsIf you need an accommodation to participate in the application or interview process please reach out to <a href="mailto:accommodations@zoox.com" target="_blank">accommodations@zoox.com</a> or your assigned recruiter. A Final Note:You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Senior Software Engineer - Data Performance & Stability

<h3>Job Description</h3>
Job Description
We are looking for a passionate certified Data Engineer. The successful candidate will turn data into information, information into insight and insight into business decisions.
Data analyst responsibilities include conducting full lifecycle analysis to include requirements, activities and design. Data analysts will develop analysis and reporting capabilities. They will also monitor performance and quality control plans to identify improvements.
Primary skillset: Python/Pyspark &amp; Azure, ADF, SQL, SQL Server, Data Warehousing, ETL Secondary: Databricks Nice to have: Informatica/ETL. 
Responsibilities
<ul>
<li>Design and develop ETL processes based on functional and non-functional requirements in python / pyspark within Azure platform</li>
<li>Understand the full end to end development activities from design to go live for ETL development and Azure platform Recommend and execute improvements</li>
<li>Document component design for developers and for broader communication.</li>
<li>Understand and adopt an Agile (SCRUM like) software development mindset</li>
<li>Follow established processes/standards, business technology architecture for development, release management and deployment process</li>
<li>Execute and provide support during testing cycles and post-production deployment, engage in peer code reviews.</li>
<li>Elicit, analyze, interpret business and data requirements to develop complete business solutions, includes data models (entity relationship diagrams, dimensional data models), ETL and business rules, data life cycle management, governance, lineage, metadata and reporting elements.</li>
<li>Apply automation and innovation on new and on-going data platforms for those development projects aligned to business or organizational strategies.</li>
<li>Design, develop and implement reporting platforms (e.g. modeling, ETL, BI framework) and complex ETL frameworks that meet business requirements.</li>
<li>Deliver business or enterprise data deliverables (that adhere to enterprise frameworks) for various platforms/servers/applications/systems.</li>
</ul>
Requirements
<ul>
<li>Proven working experience as a data engineer</li>
<li>Bachelor degree or equivalent in Computer Science</li>
<li>Skilled in Python object-oriented programming</li>
<li>Skilled in AWS Compute such as EC2, Lambda, Beanstalk, or ECS</li>
<li>Skilled in AWS Database products such as Neptune, RDS, Redshift, or Aurora</li>
<li>Skilled in AWS Management and Governance suite of products such as CloudTrail, CloudWatch, or Systems Manager</li>
<li>Skilled in Amazon Web Services (AWS) offerings, development, and networking platforms</li>
<li>Skilled in SQL</li>
<li>Skilled in Jenkins</li>
<li>Skilled in JSON</li>
<li>Skilled in discovering patterns in large data sets with the use of relevant software such as Oracle Data Mining or Informatica</li>
<li>Skilled in cloud technologies and cloud computing</li>
<li>Experience using software and computer systems' architectural principles to integrate enterprise computer applications such as xMatters, AWS Application Integration, or WebSphere</li>
<li>Determining causes of operating errors and taking corrective action</li>
<li>Experience in the process of analyzing data to identify trends or relationships to inform conclusions about the data</li>
<li>Skilled in creating and managing databases with the use of relevant software such as MySQL, Hadoop, or MongoDB</li>
<li>Programming including coding, debugging, and using relevant programming languages</li>
<li>Communication including communicating in writing or verbally, copywriting, planning and distributing communication, etc.</li>
<li>Ability to frame ideas as systems and analyzing the inputs, outputs, and process</li>
<li>Experience helping an organization to plan and manage change in effort to meet strategic objectives</li>
<li>Adept at managing project plans, resources, and people to ensure successful project completion</li>
<li>Working with people with different functional expertise respectfully and cooperatively to work toward a common goal </li>
</ul>

9,793 Technology Jobs in Olmsted County