Openings: 3 Data Engineers + 1 Lead Engineer
Location: McLean, VA or Richmond, VA preferred
Type: 12‑month Contract
Overview:
Seeking highly skilled Data Engineers to design, develop, and optimize modern data pipelines and architectures supporting advanced analytics and business insights.
Responsibilities:
- Design, build, and maintain scalable data pipelines & ETL processes
- Develop and optimize complex SQL queries for large datasets
- Implement transformations/workflows using Databricks & PySpark
- Build/manage ingestion frameworkACs for structured & unstructured data
- Work within AWS (S3 required; other services a plus)
- Orchestrate workflows/pipelines using Apache Airflow
- Ensure data quality, integrity, and performance across systems
- Collaborate with analytics, product, and engineering teams
- Leverage AI‑assisted development tools to improve productivity & code quality
Required Skills:
- SQL (Expert): Complex queries, performance optimization
- Python: Scripting, automation, pipeline development
- Databricks: ETL pipelines, transformations, scalable processing
- PySpark: Large‑scale dataset processing
- AWS (S3): Cloud storage & processing
- Data Lakes/Warehousing: Snowflake, scalable ingestion patterns
- Apache Airflow: Workflow scheduling & monitoring
Preferred Qualifications:
- Experience with AI‑assisted coding tools (GitHub Copilot, Claude)
- Familiarity with CI/CD, version control, testing best practices
- GitHub/portfolio showcasing data or AI‑related work
What Sets You Apart:
- Ability to thrive in fast‑paced, evolving environments
- Strong problem‑solving & analytical skills
- Passion for efficient, scalable data solutions
- Experience with large, complex enterprise datasets