Senior Data Engineer
Location: Ashburn, VA
Long Term Project
Note:Must hold or be able to obtain CBP Public Trust Clearance.
10+ years ETL • Spark/Databricks • AWS Data Engineering
Key Responsibilities:
Design, develop, and maintain scalable ETL pipelines using Databricks and Apache Spark
Migrate and optimize big-data workflows in AWS.
Implement data governance, quality assurance, and performance enhancements
Work with large datasets (80 TB+), performing analysis and producing regular/ad-hoc reports
Support cloud/on-prem migrations and source code control via Git/GitLab
Mentor junior data engineers and help establish best practices Required Experience & Skills:
10+ years in ETL with Spark and Databricks.
Proven AWS Data Engineering experience.
Strong SQL, Python/Scala skills.
Experience with Unix/Linux, shell scripting, CRON.
Familiarity with data warehousing (e.g. Oracle, Redshift).
Comfortable working with "big" data volumes (80 TB+)
Excellent problem-solving and stakeholder collaboration.