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Data Engineer

1 month, 2 weeks ago
United States
Full-time
Mid Level
Data Engineer
Software Development
Apache Airflow Apache Spark AWS CI/CD Databricks Git GitLab Python REST API SQL
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540

540

540 is a government-trusted tech consulting firm that breaks barriers to innovation and delivers impactful solutions like start-ups.

Internet Software & Services
51-250
Founded 2013
View All Jobs 2

Description

  • Design, develop, and maintain scalable production-ready data pipelines in Databricks using Spark, Python, and SQL.
  • Integrate and transform diverse health, financial, and operational datasets into reusable data products.
  • Develop data models and analytics datasets for enterprise reporting and operational decision-making.
  • Build and maintain API-based integrations for data ingestion and exchange across systems.
  • Monitor, troubleshoot, and optimize scheduled workflows and production pipelines.
  • Implement data validation, quality checks, lineage, and governance practices.
  • Contribute to automated testing, code reviews, technical documentation, and reusable engineering patterns.
  • Collaborate with engineers, architects, analysts, and customer stakeholders to translate data needs into technical solutions.

Requirements

  • 3+ years of data engineering, software engineering, or related technical experience.
  • Strong proficiency with Python and SQL.
  • Experience with Apache Spark or similar distributed data-processing frameworks.
  • Experience with Databricks or a similar modern data platform.
  • Experience building and maintaining production data pipelines and ETL/ELT processes.
  • Working knowledge of data modeling and transforming raw data into reusable analytics datasets or data products.
  • Experience integrating or consuming data through REST APIs.
  • Experience troubleshooting and optimizing data pipelines for performance and reliability.
  • Familiarity with data validation, quality, governance, security, privacy, and compliance considerations.
  • Experience with Git-based development workflows and modern software engineering practices.
  • Comfort working in terminal and command-line environments.
  • Strong communication skills and experience working with customers or stakeholders to understand and resolve data needs.
  • Ability to navigate ambiguity, learn unfamiliar systems, and independently drive assigned work toward resolution.
  • Bachelor’s degree in Computer Science, Engineering, Data Science, or a related technical field (preferred).
  • U.S. citizenship and an active DoW Secret clearance or higher are required.
  • AWS cloud experience (preferred).
  • Experience working with very large datasets, including billions of records (preferred).
  • Experience with Palantir Foundry (preferred).
  • Experience with Advana or similar DoW data environments (preferred).
  • Experience with GitLab, CI/CD pipelines, or automated deployment workflows (preferred).
  • Experience working with federal health, financial, or other regulated and sensitive data (preferred).
  • Experience using AI-assisted development tools for engineering, testing, documentation, and debugging (preferred).

Benefits

  • Flexible PTO plus all federal holidays off.
  • Health, dental, and vision insurance plans.
  • Flexible Spending Account (FSA).
  • 401(k) with employer match.
  • Company-sponsored life insurance plus short- and long-term disability coverage.
  • Professional development support for training, certifications, and conferences.
  • Paid cloud developer accounts.
  • Referral bonuses.
  • HQ office perks including parking or metro reimbursement, nitro coffee, and lunches.
  • Annual social events and access to Washington Capitals and Nationals tickets.

Interested in this position?

Apply directly on the company website

Apply Now

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