Data Engineer
540正在寻找一个数据工程师来支持一项关键任务的联邦卫生数据现代化倡议。该团队将来自各种国防和联邦系统的数据汇集起来，以构建可扩展管道，API 和数据产品，从而改善了关键信息如何整合，访问和使用。在这个角色中，你将与复杂的健康和使命数据合作，开发可扩展，生产准备的能力，同时帮助建立可重复利用模式用于数据摄入，集成和传输。你的工作将有助于增长的数据平台生态系统的技术基础，支持多个团队，数据产品和任务领域：根据客户要求，候选人必须是具有活跃的 DoW 秘密 （或更高）许可证的美国公民 教育要求：计算机科学，工程，数据科学学士学位或相关技术领域 （最好）540内部发展水平：数据工程师 II 或 III 为什么540?540是一个前性公司。政府转向以#getshitdone 为目的。我们不仅谈论创新，我们提供它。我们打破障碍，建立有影响力的技术和解决任务关键问题。· 设计，开发和维护可扩展的生产准备的数据管道使用 Spark,Python 和 SQL 在数据环境中 · 将多种健康，财务和运营数据集整合并转化为可靠，可重复使用的数据产品 · 制定支持企业报告和运营决策的数据模型和分析数据集 ·构建和维护基于 API 的集成来摄入和交换系统中的数据 ·监测，故障解决以及优化规定的工作流程和生产管道以提高性能，可靠性和扩展性 ·实施数据验证，质量检查，血统和治理实践，改善对数据产品的信任 · 贡献自动化测试，代码审查，技术文档和可重复使用的工程模式 · 与工程师，建筑师，分析师以及客户利益相关者合作将数据需求转换为实际技术解决方案
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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