Senior Data Engineer - McLean, VA

McLean, VA, US • Posted 13 hours ago • Updated 2 hours ago
Contract W2
On-site
$DOE
Fitment

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Job Details

Skills

  • Python
  • SQL
  • ETL tools

Summary

Job Role: Senior Data Engineer
Location: Location: McLean, VA
Looking for W2 No C2C


Skills Needed:
  • Advanced Python and SQL. Hands on ETL tools and processes. Supporting cloud based data platforms and migrations. Proven experience in developing enterprise grade data solutions.
  • Build modern data platforms that turn complex information into clear business value.

The Role Summary:
We're looking for a Senior Data Engineer to design, build, and optimize scalable data solutions that support critical business and client outcomes. In this role, you'll use your advanced SQL and Python expertise to develop robust ETL pipelines, support cloud data migration initiatives, and help shape reliable, high-performing data environments.

What You'll Do
  • Design, build, and maintain scalable ETL pipelines for structured and unstructured data
  • Develop efficient, reliable data solutions using advanced SQL and Python
  • Support cloud data migration projects, including data mapping, transformation, validation, and optimization
  • Partner with cross-functional teams to improve data quality, accessibility, and platform performance
  • Contribute to best practices in data engineering, documentation, testing, and deployment

What We're Looking For
  • Proven experience as a Data Engineer delivering production-grade data solutions
  • Advanced SQL and Python skills, with the ability to work across complex data sets and workflows
  • Hands-on experience building and maintaining ETL processes in enterprise environments
  • Experience supporting cloud-based data platforms and migration initiatives
  • Strong collaboration and communication skills, with a thoughtful and structured approach to problem-solving

Bonus Points For
  • Experience with modern cloud platforms such as AWS, Azure, or Google Cloud Platform
  • Familiarity with data warehousing, orchestration, and pipeline automation tools
  • Experience working in consulting, financial services, or other regulated environments
  • Exposure to data governance, data quality, or metadata management practices
  • Experience mentoring teammates or contributing to engineering standards


Best Regards:

Tanuja P

Phone: +1-
Email:
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10429554
  • Position Id: 2026-1028
  • Posted 13 hours ago
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