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Data Engineer

Job in Washington, District of Columbia, 20022, USA
Listing for: Jobtailor
Full Time position
Listed on 2026-07-13
Job specializations:
  • Software Development
    Data Engineering, AWS, SQL Developer
Salary/Wage Range or Industry Benchmark: 110000 - 165000 USD Yearly USD 110000.00 165000.00 YEAR
Job Description & How to Apply Below
  • Design, develop, and maintain scalable data pipelines and ETL/ELT processes
  • Build and optimize data solutions within cloud environments using AWS services and Databricks
  • Ingest, transform, and integrate structured and unstructured data from multiple sources
  • Develop and maintain data models, data marts, and database structures to support analytics and reporting
  • Ensure data quality, integrity, and availability through validation, cleansing, and monitoring processes
  • Collaborate with architects, analysts, and developers to translate business requirements into technical solutions
  • Support CI/CD processes and automated deployments in collaboration with Dev Sec Ops  teams
  • Participate in Agile development processes, including sprint planning, backlog grooming, and daily stand-ups
  • Troubleshoot data issues, perform root cause analysis, and implement solutions in development and production environments
  • Create and maintain technical documentation for data pipelines, transformations, and workflows
Requirements
  • 3–5 years of experience in data engineering, data integration, or related technical roles
  • 3+ years of strong proficiency in Python and SQL for data processing and transformation
  • U.S. Citizenship required due to federal contract requirements
  • Bachelor’s degree in computer science, Engineering, or a related field (preferred)
  • 2+ years of hands‑on experience with AWS data services (e.g., S3, Glue, Lambda, Redshift, RDS or similar)
  • 2+ years of experience working with Databricks and Apache Spark or similar distributed data processing platforms
  • 3+ years of experience with ETL/ELT frameworks, data pipeline development, and data ingestion patterns
  • 3+ years of experience working with relational databases such as Oracle or PostgreSQL
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