Senior Data Engineer (Remote)
Senior Data Engineer designing, modernizing, and automating mission-critical data pipelines and lakehouse environments for GovStar's national security customers. Day-to-day work centers on Python/SQL data transformation, database architecture, Docker, and cloud data platforms (AWS/Azure, Snowflake, Databricks).
- Compensation
- Not disclosed
- Location
- Virginia
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 7+ years
- Category
- Data engineering
- Posted
Skills
Must have
- U.S. citizenship
- Must live in the United States in either the Eastern or Central time zone
- Must be able to obtain a DHS Public Trust clearance
- Bachelor's degree or higher in Data Science, Computer Science, Systems Engineering, or a related field
- 7+ years of professional Data Engineering/Data Science experience
- Fluency with Python
- Fluency with Git
- Fluency with SQL and PostgreSQL
- Strong experience with CI/CD build and deployment tools
- Excellent written, verbal, and interpersonal communication skills
- Strong desire to support the country by working on mission-critical systems
Nice to have
- Experience with containerization technologies such as Docker
- Experience with Snowflake and Databricks
Full description
Looking for PURPOSE? At GovStar, we found it. We love the work we do, the people we do it with, and the impact we have. We’re looking for talented technologists and creatives with the character, courage, and commitment to achieve greatness and grow together.
We’re a tight group of individuals coming together to produce Legendary Teams. We are using technology and creativity to unlock the future of government and shape a brighter future for the country we love.
Discover us @
Overview
GovStar seeks a Senior Data Engineer with strong technical skills and experience building and implementing modern data structures, pipelines, and processes to support our national security customers’ complex missions.
This role will contribute to the buildout, modernization, and automation of mission-critical data pipelines and workflows connecting source systems, existing data warehousing solutions, and future lakehouse environments. The ideal candidate will bring experience across data management, data science, and system integration, combined with strong technical expertise in software development, database architecture, and modern data engineering practices.
Responsibilities
- Design and implement integration plans that modernize and automate data movement and workflows across systems, including requirements gathering and project planning.
- Create and maintain architecture diagrams that clearly communicate current-state environments and future-state data architectures.
- Provide technical expertise in database architecture and development, helping shape reliable and maintainable data solutions.
- Work directly with complex data using Python and related tools to transform, refine, and prepare data for downstream use.
- Utilize Docker to containerize code and execute commands through command-line environments.
- Create and integrate SQL connections within Python applications and workflows to retrieve and work with data from databases.
- Develop and maintain data governance documentation and processes, while providing expert technical input in discussions around data architecture, integration, and management.
- Collaborate with stakeholders to establish reporting standards and help ensure the quality, consistency, and usability of data.
- Coordinate with cross-functional teams to align technical objectives, dependencies, and priorities and help ensure successful project delivery.
- Apply strong project management skills to move technical initiatives from initial concept and requirements through implementation and completion.