Lead Data Engineer / Data Engineer - EX - Capital One || McLean, VA or Richmond, VA

McLean, VA, US • Posted 2 hours ago • Updated 2 hours ago
Contract Corp To Corp
Contract W2
Contract Independent
12 Months
No Travel Required
On-site
Depends on Experience
Fitment

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Job Details

Skills

  • Advanced Analytics
  • Amazon S3
  • Amazon Web Services
  • Analytical Skill
  • Analytics
  • Apache HTTP Server
  • Artificial Intelligence
  • Cloud Storage
  • Conflict Resolution
  • Continuous Delivery
  • Continuous Integration
  • Data Quality
  • Databricks
  • Extract
  • Transform
  • Load
  • GitHub
  • Management
  • Problem Solving
  • Productivity
  • SQL
  • Scheduling
  • Scripting
  • Snow Flake Schema
  • Testing
  • Version Control
  • Warehouse
  • Workflow
  • Data Engineer

Summary

Openings: 3 Data Engineers + 1 Lead Engineer

Location: McLean, VA or Richmond, VA preferred

Type: 12month 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 AIassisted 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: Largescale dataset processing
  • AWS (S3): Cloud storage & processing
  • Data Lakes/Warehousing: Snowflake, scalable ingestion patterns
  • Apache Airflow: Workflow scheduling & monitoring

Preferred Qualifications:

  • Experience with AIassisted coding tools (GitHub Copilot, Claude)
  • Familiarity with CI/CD, version control, testing best practices
  • GitHub/portfolio showcasing data or AIrelated work

What Sets You Apart:

  • Ability to thrive in fastpaced, evolving environments
  • Strong problemsolving & analytical skills
  • Passion for efficient, scalable data solutions
  • Experience with large, complex enterprise datasets

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: 10339744
  • Position Id: 8990253
  • Posted 2 hours ago
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