
Data Engineer
Posted 11 hours ago

Posted 11 hours ago
This is a fully remote position, open to applicants in United States.
• Design, construct, maintain, and troubleshoot dependable data pipelines throughout the software development lifecycle.
• Assist in the modernization of legacy U.S. Army financial systems and their migration to AWS cloud environments.
• Create Python-based workflows to ingest, transform, validate, and deliver both structured and semi-structured data.
• Develop and support cloud-native data solutions utilizing AWS Glue, Lambda, S3, and CloudWatch.
• Integrate data from various systems and sources, including APIs and diverse file formats.
• Handle large datasets while enhancing pipeline efficiency and scalability.
• Engage in technical design discussions related to data integration, storage, performance, and scalability.
• Implement automated testing, logging, monitoring, and error management.
• Produce clean, reusable, and maintainable code adhering to software engineering and DataOps best practices.
• Collaborate with engineers, architects, and stakeholders to convert requirements into functional software.
• Support secure data management, access controls, data governance, and compliance with DoW standards.
• Participate in code reviews and Agile development processes.
• Document data transformations, pipeline procedures, and technical decisions made.
• Enhance workflows, minimize manual processes, and fortify the Army’s data ecosystem.
• Must be remote within the continental United States, with East Coast working hours and some flexibility.
• Occasional travel may be necessary (3-4 times annually).
• Must be a U.S. Citizen with the capability to obtain a DoW Secret clearance.
• Minimum of 2 years of relevant experience in data engineering, software development, data integration, or a closely related field.
• Proven experience in developing Python-based data transformations, scripts, or workflow automation.
• Practical experience in building, maintaining, or troubleshooting data pipelines and ETL/ELT processes.
• Familiarity with data consumption from APIs and working with X12, JSON, flat files, or fixed-width files.
• Experience with AWS cloud services, specifically AWS Glue, AWS Lambda, Amazon S3, and CloudWatch Logs.
• Acquainted with large datasets and issues related to data processing or performance.
• Understanding of data structures, data modeling concepts, and the organization and transformation of data.
• Experience in writing and maintaining automated tests using Pytest or similar frameworks.
• Knowledge of data validation, error management, logging, and debugging practices.
• Understanding of data security, access controls, and principles of data quality.
• Familiarity with using GitLab for version control and collaborative development.
• Comfortable working via the terminal or command-line interface.
• Experience utilizing Jira and Confluence in an Agile development setting.
• Ability to interpret ambiguous requirements, file specifications, and JSON structures.
• Strong problem-solving abilities and capacity to collaborate with both technical and non-technical stakeholders.
• Must currently hold or be able to obtain an AWS Cloud Practitioner certification (or higher) within 30 days of hire.
• Must currently hold or be able to obtain a CompTIA Security+ certification (or higher) within 30 days of hire.
• Bachelor's Degree in Computer Science or a related engineering field is preferred.
• Health, dental, and vision insurance plans.
• Flexible Spending Account (FSA).
• 401k plan with employer matching.
• Company-sponsored life insurance, as well as short and long-term disability coverage.
• Flexible paid time off plus all federal holidays off.
• Opportunities for professional development (training, certifications, conferences).
• Paid cloud developer accounts.
• Referral bonus.
• 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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