Job Description
Job Description
About NDi:
Network Designs, Inc. (NDi) is a leading Federal contractor that specializes in designing, developing, and delivering information technology and network solutions for government customers. Founded in 1985, NDi's firmly defined core values have driven all aspects of the business, which have been paramount to our company's success and the establishment of an enjoyable workplace atmosphere. At NDi, we believe that our people are the cornerstone of our success, and we value collaboration, career growth, and winning ideas. Military Veterans Encouraged to Apply.
Job Description:
The Data Engineer will be responsible for designing, developing, validating, and maintaining data pipelines, transformations, and reconciliation frameworks supporting legacy and modernized enrollment systems. This role supports data migration, income matching, and reporting use cases by ensuring data integrity, accuracy, and traceability across Oracle-based systems and streaming pipelines. The position works closely with architects, application teams, and data stakeholders to deliver reliable, auditable data processing in regulated environments.
Requirements:
- U.S Citizenship required.
- Must be able to obtain and maintain a Public Trust clearance
- This position is remote but may require occasional onsite meetings in McLean, VA.
- You can be based out of following states: AZ, DC, FL, GA, OH, ME, MD, SC, TX, UT, VA, NC, OK, WV.
Qualifications and Experience:
- Bachelor's Degree in Computer Science, Information Technology, Data Science, or a related field
- At least 3 years of relevant experience in data engineering or a related role.
- Strong proficiency in Oracle SQL and PL/SQL, including complex queries, stored procedures, and materialized views.
- Experience designing and maintaining ETL/ELT data transformations and reconciliation frameworks.
- Experience with data validation, reconciliation, and data quality profiling in regulated or high-integrity environments.
- Experience running data workloads in Kubernetes and packaging pipelines with Docker.
- Familiarity with Redis for lookup caching or reference data access.
- Experience using GitHub for source control and artifact management and ArgoCD for deployment workflows.
- Experience monitoring data pipelines and system health using Grafana and/or Dynatrace.
- Strong analytical and problem-solving skills.
- Attention to detail, accuracy, and data integrity.
- Strong communication skills and the ability to work collaboratively across technical and non-technical teams
Responsibilities
Data Pipeline Development:
- Design, develop, and maintain batch and data pipelines using Oracle RDS. Implement SQL and PL/SQL-based ETL/ELT transformations to support data migration, reporting, and downstream consumption.
Data Validation and Reconciliation:
- Design and execute data validation, reconciliation, and rules-based comparison frameworks to ensure data accuracy and consistency. Validate income-matching data using Oracle SQL/PL-SQL and ETL logic, ensuring correct IRS and SSA data integration. Identify, analyze, and resolve data discrepancies ac
Data Migration and Modernization Support:
- Design and implement SQL/PL-SQL mapping, transformation, and reconciliation routines to migrate legacy datasets into the modernized system. Ensure completeness, accuracy, and traceability of migrated data through repeatable validation processes.
Database Engineering:
- Develop and optimize Oracle database objects including tables, views, stored procedures, and materialized views. Support performance tuning and query optimization for high-volume data processing workloads.
Data Quality and Integrity:
- Implement data quality profiling, validation rules, and reconciliation metrics. Support continuous data quality improvement initiatives and root-cause analysis of data issues.
Deployment, Monitoring, and Operations:
- Manage source-controlled SQL, scripts, and pipeline artifacts using GitHub. Support GitOps-based deployment workflows using ArgoCD. Monitor pipeline execution, data quality, and system performance using Grafana and Dynatrace.
Collaboration and Documentation:
- Collaborate with application teams, data architects, and business stakeholders to understand data requirements and validation rules. Produce clear documentation for data pipelines, transformations, validation logic, and reconciliation results.
Compensation and Benefits:
At NDi, we value our team and are committed to retaining top talent by offering competitive benefits and compensation packages. Our employee benefits package includes comprehensive health, dental, vision, pet, and legal insurance. Our corporate benefits include 401(k) retirement matching, paid leave, paid holidays, and health and wellness programs. In addition, we provide employer-paid life and disability insurance, professional development, education benefits, and much more to ensure our team has the resources they need to thrive on and off the job.
Veterans First Commitment:
As a Service-Disabled Veteran-Owned Small Business (SDVOSB), NDi is dedicated to hiring veterans and providing a supportive work environment that honors their service while recognizing the unique skills and experiences they bring to our organization.
Commitment to Diversity:
NDi is an Equal Opportunity Employer. We are committed to creating a diverse environment and are proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran or military status, citizenship, national origin, or any other basis prohibited by law in all phases of the employment process and compliance with applicable federal, state, and local laws and regulations. As a federal government contractor, NDi complies with all applicable affirmative action requirements.
Apply Now:
Take advantage of this unique opportunity to join one of the fastest-growing companies in Federal contracting!