{"id":2545393,"url":"https://alion.io/job/540-data-engineer-4","title":"Data Engineer","company":{"id":20426,"name":"540","domain":"540.co","url":"https://alion.io/company/540-co","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"junior","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Amazon CloudWatch","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"AWS Glue","optional":false},{"name":"AWS Lambda","optional":false},{"name":"Confluence","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GitLab","optional":false},{"name":"Jira","optional":false},{"name":"Pytest","optional":false},{"name":"Python","optional":false},{"name":"Airflow","optional":true},{"name":"Apache Kafka","optional":true},{"name":"AWS Step Functions","optional":true},{"name":"CI/CD","optional":true},{"name":"CloudFormation","optional":true},{"name":"Spark","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-10-14T14:37:30Z","employer_posted_date":"2026-10-14","last_verified_at":"2026-10-16T10:15:53Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"540 is looking for a Data Engineer to develop data transformation and workflow solutions supporting an impactful U.S. Army modernization initiative. You will help deploy and operate a cloud-based replacement for a legacy financial system while developing innovative, cloud-first solutions that strengthen the Army's data management ecosystem.\nIn this role, you'll design, build, and maintain scalable data pipelines and cloud-native data solutions, with a focus on data reliability, security, governance, and performance. You'll work with large, complex datasets, contribute to technical design decisions, and collaborate across engineering teams to transform business and mission requirements into working software.\nLocation: Remote within the continental United States, East Coast working hours with some flexibility afforded. Occasional travel may be required (3-4x annually)\nCitizenship & Clearance Requirement: per client requirements, must be a U.S. Citizen with the ability to obtain a DoW Secret clearance\nEducation Requirement: Bachelor’s Degree in Computer Science or related engineering field (preferred)\n540 Internal Thrive Level: Data Engineer II or III\nWHY 540?\n540 is a forward-thinking company that the government turns to in order to #GetShitDone. We do more than talk about it, we break down barriers to innovation and build impactful tech. We’re looking for someone with big ideas, who thrives on innovation and is a self-starter. If you love to learn about and work with new technologies, we want to talk to you.\nHOW YOU’LL DRIVE IMPACT\nDesign, build, maintain, and troubleshoot reliable data pipelines throughout the software development lifecycle, supporting the modernization of legacy U.S. Army financial systems and migration to AWS cloud environments\nDevelop Python-based workflows to ingest, transform, validate, and deliver structured and semi-structured data\nBuild and support cloud-native data solutions using AWS services such as Glue, Lambda, S3, and CloudWatch\nIntegrate data from multiple systems and sources, including APIs and various file formats, while supporting data accuracy, consistency, and reliability\nWork with large datasets, identify performance bottlenecks, and help improve pipeline efficiency and scalability\nParticipate in technical design discussions and contribute to decisions around data integration, storage, performance, and scalability\nImplement automated testing, logging, monitoring, and error handling to support data quality and reliable system performance\nWrite clean, reusable, and maintainable code while following established software engineering and DataOps practices\nCollaborate with engineers, architects, and stakeholders to translate business and technical requirements into working software\nSupport secure data management practices, including access controls, data governance, and compliance with DoW requirements\nParticipate in code reviews and Agile development activities, sharing ideas and contributing to engineering improvements\nDocument data transformations, pipeline processes, and technical decisions to support maintainability and downstream users\nIdentify opportunities to improve existing workflows, reduce manual processes, and strengthen the reliability of the Army's data ecosystem\nREQUIRED SKILLS & EXPERIENCE\n2+ years of related experience in data engineering, software development, data integration, or a closely related field\nExperience developing Python-based data transformations, scripts, or workflow automation\nHands-on experience building, maintaining, or troubleshooting data pipelines and ETL/ELT processes\nExperience consuming data from APIs and working with file formats such as X12, JSON, flat files, or fixed-width files\nExperience working with AWS cloud services, particularly AWS Glue, AWS Lambda, Amazon S3, and CloudWatch Logs\nFamiliarity with working with large datasets, including identifying and troubleshooting data processing or performance issues\nUnderstanding of data structures, data modeling concepts, and common approaches to organizing and transforming data\nExperience writing and maintaining automated tests using Pytest or similar testing frameworks\nFamiliarity with data validation, error handling, logging, and debugging practices\nUnderstanding of data security, access controls, and data quality principles\nExperience using GitLab for version control and collaborative development\nComfortable working through the terminal or command-line interface\nExperience using Jira and Confluence in an Agile development environment\nAbility to interpret ambiguous requirements, file specifications, and JSON structures to develop functional data solutions\nStrong problem-solving skills and ability to collaborate effectively with technical and non-technical stakeholders\nMust currently possess or have the ability to obtain an AWS Cloud Practitioner certification (or higher) within 30 days of hire\nMust currently possess or have the ability to obtain a CompTIA Security+ certification (or higher) within 30 days of hire\nNICE TO HAVE\nExperience working with DoW systems, data, or other regulated environments\nFamiliarity with X12/MILS processing\nExperience with Apache Spark, Kafka, or other distributed data processing frameworks\nKnowledge of data orchestration tools such as Apache Airflow or AWS Step Functions\nExposure to Infrastructure-as-Code tools, including Terraform or CloudFormation\nUnderstanding of DevOps and DataOps practices, including CI/CD pipelines\nAWS certifications such as Solutions Architect, Data Analytics, or similar\nExperience developing reusable pipeline components or improving established engineering patterns\nExperience contributing to data architecture decisions, schema design, or pipeline performance optimization\nFamiliarity with database performance optimization, indexing, or partitioning strategies\nExperience with data lineage, metadata management, or data cataloging tools\nExperience providing technical guidance, mentoring teammates, or contributing to engineering best practices\nFamiliarity with AI-assisted development tools for coding, testing, documentation, or workflow automation\nBENEFITS & PERKS\nHealth, dental and vision insurance plans\nFlexible Spending Account (FSA)\n401k with employer match\nCompany Sponsored Life Insurance, Short and Long Term Disability coverage\nFlexible PTO + all Federal holidays off\nProfessional development opportunities (training, certifications, conferences)\nPaid cloud developer accounts\nReferral Bonus - good people know good people\nHQ Office Perks (parking / metro reimbursement, nitro coffee & lunches) \nAnnual Social Events (540 week, hackathon, charity golf tournament, etc.)\nAccess to 540’s Washington Capitals & Nationals tickets\nEQUAL EMPLOYMENT OPPORTUNITY (EEO)\n540'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.\nThis policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and 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