Data Engineer

540United States only

Apply now

Opens the original posting on Himalayas.

Apply now Source: Himalayas

Apply on the original site

Companies in this catalog do not charge applicants. Never send money to apply.

540 is seeking a Data Engineer to support a mission-critical federal health data modernization initiative. The team is bringing together data from diverse defense and federal systems to build scalable pipelines, APIs, and data products that improve how critical information is integrated, accessed, and used.

In this role, you’ll work hands-on with complex health and mission data to develop scalable, production-ready capabilities while helping establish reusable patterns for data ingestion, integration, and delivery. Your work will contribute to the technical foundation of a growing data platform ecosystem supporting multiple teams, data products, and mission areas.

Location : Remote within the continental United States. Periodic travel may be required Citizenship & Clearance Requirement : per client requirements, candidates must be U.S. Citizens with an active DoW Secret (or higher) clearance Education Requirement: Bachelor’s Degree in Computer Science, Engineering, Data Science, or a related technical field (preferred) 540 Internal Thrive Level: Data Engineer II or III WHY 540 ?

Loading job…

Data Engineer at 540 · ApplyPick

Design, develop, and maintain scalable, production-ready data pipelines using Spark, Python, and SQL in a Databricks environment
Integrate and transform diverse health, financial, and operational datasets into reliable, reusable data products
Develop data models and analytics datasets that support enterprise reporting and operational decision-making
Build and maintain API-based integrations for ingesting and exchanging data across systems
Monitor, troubleshoot, and optimize scheduled workflows and production pipelines for performance, reliability, and scalability
Implement data validation, quality checks, lineage, and governance practices that improve trust in data products
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 practical technical solutions
REQUIRED SKILLS & EXPERIENCE
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 working 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
NICE TO HAVE SKILLS & EXPERIENCE
AWS cloud experience
Experience working with very large datasets, including datasets containing billions of records

Data Engineer

Apply now

Data Engineer

Apply now

HOW YOU’LL DRIVE IMPACT

Experience with Palantir Foundry

Experience with Advana or similar DoW data environments

BENEFITS & PERKS

Apply now