Data Engineer

🕒 August 17

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 11%

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Logo of 540

540

51 - 200 employees

💼 Consulting

📦 Logistics

🏛️ Government

Consulting • Logistics • Government

540 is a technology consulting company that partners with the Federal Government and business clients to drive innovation and break barriers. The company specializes in tech strategy, agile delivery, API design and development, data analytics, and cloud services. 540 helps its clients by leveraging cutting-edge technology and design, creating impactful user experiences, and shipping high-quality code. With a focus on DevSecOps, they securely manage and scale infrastructure as organizations grow. 540's services empower developers, integrators, and data consumers through best practices in APIs and cloud solutions. Their commitment extends to aiding government in implementing advanced technology solutions, particularly in API strategy and data-driven applications.

📋 Description

• 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 for 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 • 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 • U.S. Citizenship required • Active DoW Secret or higher clearance required

🏖️ Benefits

• 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

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