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Accenture Federal Services

Cleared Data Engineer

Washington, DCFrom $176.2kmidAdded 1 month ago

About this role

Accenture Federal Services seeks a Cleared Data Engineer to design and maintain scalable data pipelines for federal government clients. You'll architect end-to-end solutions using modern technologies, transform complex data sources, and collaborate with cross-functional teams to support analytics and mission-critical operations.

What you'll do

  • Design, build, and maintain scalable data pipelines using Databricks and Spark
  • Develop efficient data processing and transformation workflows for analytics and reporting
  • Integrate multiple data sources including APIs, databases, and cloud storage
  • Collaborate with data science, analytics, and business teams on solution design
  • Support federal government clients across defense, national security, and civilian agencies

What they're looking for

  • Databricks
  • Apache Spark
  • Data pipeline architecture
  • ETL/ELT development
  • API integration
  • Cloud platforms
  • Data transformation
  • SQL

Benefits

  • Glassdoor Top 100 Best Place to Work recognition
  • Professional certifications and industry training
  • Collaborative and inclusive community environment
  • Hands-on experience with cutting-edge technology
  • Opportunity to support national security missions
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Accenture Federal Services

Accenture Federal Services builds and maintains mission-critical technology solutions for the U.S. federal government, including cloud infrastructure, enterprise systems integrations, and cyber defense tools. The company is hiring DevOps engineers, full-stack developers, SAP specialists, and test engineers to support classified and unclassified federal government projects.

View all jobs at Accenture Federal Services

Likely interview questions

  • Walk us through your experience designing and building scalable data pipelines. What technologies have you used, and how did you handle performance optimization?
  • Describe a complex data integration project where you had to combine multiple data sources (APIs, databases, cloud storage). What challenges did you face and how did you resolve them?