Jobs · Information Technology

Data Engineer

540 · Arlington, VA · 5 days ago
RemoteRemoteInformation TechnologyFull-time
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. In 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. Location: Remote within the continental United States, East Coast working hours with some flexibility afforded. Occasional travel may be required (3-4x annually) Citizenship & Clearance Requirement: per client requirements, must be a U.S. Citizen with the ability to obtain a DoW Secret clearance Education Requirement: Bachelor's Degree in Computer Science or related engineering 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 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. HOW YOU'LL DRIVE IMPACT Design, 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 environmentsDevelop Python-based workflows to ingest, transform, validate, and deliver structured and semi-structured dataBuild and support cloud-native data solutions using AWS services such as Glue, Lambda, S3, and CloudWatchIntegrate data from multiple systems and sources, including APIs and various file formats, while supporting data accuracy, consistency, and reliabilityWork with large datasets, identify performance bottlenecks, and help improve pipeline efficiency and scalabilityParticipate in technical design discussions and contribute to decisions around data integration, storage, performance, and scalabilityImplement automated testing, logging, monitoring, and error handling to support data quality and reliable system performanceWrite clean, reusable, and maintainable code while following established software engineering and DataOps practicesCollaborate with engineers, architects, and stakeholders to translate business and technical requirements into working softwareSupport secure data management practices, including access controls, data governance, and compliance with DoW requirementsParticipate in code reviews and Agile development activities, sharing ideas and contributing to engineering improvementsDocument data transformations, pipeline processes, and technical decisions to support maintainability and downstream usersIdentify opportunities to improve existing workflows, reduce manual processes, and strengthen the reliability of the Army's data ecosystem REQUIRED SKILLS & EXPERIENCE 2+ years of related experience in data engineering, software development, data integration, or a closely related fieldExperience developing Python-based data transformations, scripts, or workflow automationHands-on experience building, maintaining, or troubleshooting data pipelines and ETL/ELT processesExperience consuming data from APIs and working with file formats such as X12, JSON, flat files, or fixed-width filesExperience working with AWS cloud services, particularly AWS Glue, AWS Lambda, Amazon S3, and CloudWatch LogsFamiliarity with working with large datasets, including identifying and troubleshooting data processing or performance issuesUnderstanding of data structures, data modeling concepts, and common approaches to organizing and transforming dataExperience writing and maintaining automated tests using Pytest or similar testing frameworksFamiliarity with data validation, error handling, logging, and debugging practicesUnderstanding of data security, access controls, and data quality principlesExperience using GitLab for version control and collaborative developmentComfortable working through the terminal or command-line interfaceExperience using Jira and Confluence in an Agile development environmentAbility to interpret ambiguous requirements, file specifications, and JSON structures to develop functional data solutionsStrong problem-solving skills and ability to collaborate effectively with technical and non-technical stakeholdersMust currently possess or have the ability to obtain an AWS Cloud Practitioner certification (or higher) within 30 days of hireMust currently possess or have the ability to obtain a CompTIA Security+ certification (or higher) within 30 days of hire NICE TO HAVE Experience working with DoW systems, data, or other regulated environmentsFamiliarity with X12/MILS processingExperience with Apache Spark, Kafka, or other distributed data processing frameworksKnowledge of data orchestration tools such as Apache Airflow or AWS Step FunctionsExposure to Infrastructure-as-Code tools, including Terraform or CloudFormationUnderstanding of DevOps and DataOps practices, including CI/CD pipelinesAWS certifications such as Solutions Architect, Data Analytics, or similarExperience developing reusable pipeline components or improving established engineering patternsExperience contributing to data architecture decisions, schema design, or pipeline performance optimizationFamiliarity with database performance optimization, indexing, or partitioning strategiesExperience with data lineage, metadata management, or data cataloging toolsExperience providing technical guidance, mentoring teammates, or contributing to engineering best practicesFamiliarity with AI-assisted development tools for coding, testing, documentation, or workflow automation BENEFITS & PERKS Health, dental and vision insurance plansFlexible Spending Account (FSA)401k with employer matchCompany Sponsored Life Insurance, Short and Long Term Disability coverageFlexible PTO + all Federal holidays offProfessional development opportunities (training, certifications, conferences)Paid cloud developer accountsReferral Bonus - good people know good peopleHQ 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.

Similar jobs

Data Engineer

AnthropicNew York, NY· 4 mo ago
Information Technology$320k–$405k/yrapply on job-boards.greenhouse.io

Data Engineer

Sakata Seed America, Inc.Woodland, CA· 1 mo ago
Information Technologyapply on workforcenow.adp.com

Data Engineer

Booz Allen HamiltonHonolulu, HI· 2 mo ago
$78k–$176k/yrapply on careers.boozallen.com

Data Engineer

CodeVertex OperationsUnited States· 2 mo ago
RemoteEngineering$95k–$145k/yrapply on tally.so

Data Engineer

CodeVertex TalentUnited States· 2 mo ago
RemoteEngineering$95k–$145k/yrapply on tally.so

Data Engineer

CVS HealthSpringfield, IL· 2 mo ago
Information Technology$65k/yrapply on jobs.cvshealth.com