540

Data Engineer

United States full-time Mid Salary not listed
full-time Mid level Technology & IT Curated
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About the 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.
Originally posted on Himalayas

Interview prep

Walk in with sharper answers.

Use this as a quick practice sheet before you speak with the employer.

Mid
Technology & IT API integration Data Analysis MySQL Python Remote Collaboration Mid level

Likely questions

  1. Tell us about work you have done that is close to the Data Engineer role.
  2. How would you approach your first 30 days at 540?
  3. Which of API integration, Data Analysis and MySQL have you used recently, and what did it help you achieve?
  4. Describe a time you solved a problem without waiting to be told exactly what to do.
  5. How do you handle busy days, changing priorities, or pressure at work?

Prepare before the call

  • A recent example that proves your experience with API integration, Data Analysis and MySQL.
  • One short story with a problem, your action, and the result.
  • Two examples that show the strengths listed on your CV.
  • A clear reason why this role and company interest you.
  • Your availability, preferred work style, and salary expectations.

Ask them

  • What would success look like in the first 90 days?
  • What are the main problems this hire should help solve?
  • How does the team give feedback and measure good work?
  • What does a normal working week look like for this role?
Practice line

I am interested in the Data Engineer role because I can bring practical experience in API integration, Data Analysis and MySQL, learn the team quickly, and contribute to the outcomes 540 needs from this hire.

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