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    Job · 12152684

    REMOTEFULLTIME

    Data Engineer

    54

    540

    Remote · remote · Posted 64d ago

    Sourced fromGreenhouse
    Not disclosed3+ yrsfulltimeRemote

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    Section · 01

    About this role

    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?

    540 is a forward-thinking company that the government turns to in order to #getshitdone. We don’t just talk about innovation – we deliver it. We break down barriers, build impactful technology, and solve mission-critical problems.

    HOW YOU’LL DRIVE IMPACT

    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

    Experience with Palantir Foundry

    Experience with Advana or similar DoW data environments

    Experience with GitLab, CI/CD pipelines, or automated deployment workflows

    Experience working with federal health, financial, or other regulated and sensitive data

    Experience using AI-assisted development tools to accelerate routine engineering tasks, testing, documentation, and debugging

    BENEFITS & PERKS

    Flexible PTO + all Federal holidays off

    Health, dental and vision insurance plans

    Flexible Spending Account (FSA)

    401k with employer match

    Company-sponsored life insurance, short- and long-term disability 

    Professional development (training, certifications, conferences)

    Paid cloud developer accounts

    Referral bonuses

    HQ office perks (parking / metro reimbursement, nitro coffee & lunches) 

    Annual social events (540 Week, hackathon, charity golf tournament, etc.)

    Access to 540’s Washington Capitals & Nationals tickets

    EQUAL EMPLOYMENT OPPORTUNITY (EEO)

    540's policy is to provide equal employment opportunity to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

    This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

    Sourced from greenhouse

    Section · 02

    Skills

    Apache SparkRecruitingamazon web servicesDatabricksPythonSQLETLGITCi/CdData Science

    Section · Company

    About 540

    54

    540

    Data Engineer · waiting for your command