Data Engineer

Job Description

Job Description

Great Hill Solutions, LLC is part of the Seneca Nation Group (SNG) portfolio of companies. SNG is Seneca Holdings' federal government contracting business that meets mission-critical needs of federal civilian, defense, and intelligence community customers. Our portfolio comprises multiple subsidiaries that participate in the Small Business Administration 8(a) program. To learn more about SNG, visit the website and follow us on LinkedIn.

Our team of talented individuals is what makes us successful. To support our team, we provide a balanced mix of benefits and programs. Your total rewards package includes competitive pay, benefits, and perks, flexible work-life balance, professional development opportunities, and performance and recognition programs. We offer a comprehensive benefits package that includes medical, dental, vision, life, and disability, voluntary benefit programs (critical illness, hospital, and accident), health savings and flexible spending accounts, and retirement 401K plan. One of our fundamental principles is to offer competitive health and welfare benefits to our team members, providing coverage and care for you and your family. Full-time employees working at least 30 hours a week on a regular basis are eligible to participate in our benefits and paid leave programs. We pride ourselves on our collaborative work environment and culture, which embraces our mission of providing financial and non-financial benefits back to the members of the Seneca Nation.

Great Hill Solutions is seeking a remote Data Engineer to support our Department of Defense client. The candidate will support the Defense Security Cooperation Agency (DSCA) Chief Data and Artificial Intelligence Officer (CDAO) with data analytics, data integration and pipeline ingest, data management, and catalog and metadata management. The candidate will:

• Design, build, and maintain scalable data pipelines and ETL/ELT processes to support analytics and business intelligence based on the DSCA OLTP systems.
• Develop and optimize data models for both operational and analytical systems.
• Implement best practices for data ingestion, transformation, storage, and retrieval across environments.
• Collaborate with data scientists, analysts, and business stakeholders to define data requirements and deliver reliable solutions.
• Ensure data quality, consistency, and governance through monitoring, testing, and validation frameworks.
• Write and maintain efficient SQL queries, stored procedures, and scripts for data processing.
• Work with structured and unstructured data from multiple sources (databases, APIs, streaming platforms, third-party feeds).
• Optimize performance and scalability of large datasets using distributed computing frameworks (e.g., Spark,).
• Apply security, compliance, and privacy standards to data solutions.
• Ensure that Data is curated based on requirements and designed with reusability in mind.
• Normalize data elements across systems. Build data index, apply deduplication logic to align data, investigate data mismatches, identify data quality gaps, and reconcile metadata for a unified view of business data.
• Troubleshoot data-related issues, ensuring minimal downtime and reliable delivery of data products.
• Provide Data Quality (DQ) measures and improvements in accordance with defined criteria for silver and gold data zones.
• Ensure data is easily discoverable, well-managed, and integrated with metadata and business rules using tools like Collibra.
• Coordinate work across various Advana lines of businesses (Acquisition, Procurement, Supply Chain, and Finance) to continually improve the ability to link mission critical data with other domain data.
• Data sources are to be auto cataloged and integrated with data dictionaries metadata that provide understanding through exposure of data descriptions and business rules that facilitate data integration.

Basic Qualifications:

• Must have an active SECRET clearance.
• Bachelor of Science or Arts from an accredited university or college, scientific or technical discipline preferred.
• Must have a minimum of 5 years of experience supporting Federal clients with implementing data management practices.
• Must have a minimum of 3 years of experience with Python programming language.
• Must have a minimum of 3 years of experience with enterprise data tools like Databricks, Databricks SQL Editor, Erwin data modeler, etc. 

Preferred Qualifications:

• Ability to develop collaborative, cooperative and constructive working relationships, resolve conflicts and negotiate with others, with strong cultural awareness.
• Strong organizational skills, results oriented, willingness to prioritize workload and drive operations to completion.
• Must have competent writing skills, and the ability to work independently in Microsoft 365.
• Up to date knowledge of Collibra Data Governance Center functionalities.
• Understanding of Procurement Lifecycle (e.g., DoD's Procure to Pay end-to-end process) will be beneficial.

Equal Opportunity Statement:
Seneca Holdings provides equal employment opportunities to all employees and applicants without regard to race, color, religion, sex/gender, sexual orientation, national origin, age, disability, marital status, genetic information and/or predisposing genetic characteristics, victim of domestic violence status, veteran status, or other protected class status. This policy applies to all terms and conditions of employment, including, but not limited to, hiring, placement, promotion, termination, layoff, recall, transfer, leave of absence, compensation and training. The Company also prohibits retaliation against any employee who exercises his or her rights under applicable anti-discrimination laws. Notwithstanding the foregoing, the Company does give hiring preference to Seneca or Native individuals. Veterans with expertise in these areas are highly encouraged to apply.