Role OverviewWe are seeking an experienced Senior Data Engineer to build reusable connectors and data pipelines that ingest, validate, normalize, and persist agency data for a Federal data analytics and AI modernization initiative.
What You Will Do
Design, develop, test, and deploy scalable ETL/ELT pipelines for high-volume, multi-source data environments. Build reusable data connectors and integration services to ingest data from APIs, databases, files, and other enterprise data sources.
Why It Might Be a Fit
The company is an established SBA small business that has been recognized by Inc. Magazine each of the past three years as one of the 250 fastest-growing companies in the U.S.
Requirements
- 7+ years of experience in data engineering, data integration, or a related software engineering discipline.
- Demonstrated experience building and maintaining production-grade data pipelines in enterprise environments.
- Strong experience with ETL/ELT architecture, data transformation, orchestration, validation, reconciliation, lineage, logging, and monitoring.
- Advanced proficiency with SQL and relational databases.
- Strong programming experience in Python
- Experience developing and integrating REST APIs and other data integration interfaces.
- Experience working with relational databases and data-storage technologies, such as PostgreSQL or Microsoft SQL Server.
- Experience with Linux-based development or deployment environments.
- Experience with Git-based source control and CI/CD practices.
- Experience developing automated tests for data pipelines, APIs, or software components.
- U.S. citizenship and ability to obtain and maintain Top Secret eligibility, as required for all contractor personnel supporting the effort.
Benefits
- Competitive compensation
- Opportunities for bonuses
- Employer paid health care
- Training and development funds
- 401k match
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