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 &amp; 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
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
<ul>
<li>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 environments</li>
<li>Develop Python-based workflows to ingest, transform, validate, and deliver structured and semi-structured data</li>
<li>Build and support cloud-native data solutions using AWS services such as Glue, Lambda, S3, and CloudWatch</li>
<li>Integrate data from multiple systems and sources, including APIs and various file formats, while supporting data accuracy, consistency, and reliability</li>
<li>Work with large datasets, identify performance bottlenecks, and help improve pipeline efficiency and scalability</li>
<li>Participate in technical design discussions and contribute to decisions around data integration, storage, performance, and scalability</li>
<li>Implement automated testing, logging, monitoring, and error handling to support data quality and reliable system performance</li>
<li>Write clean, reusable, and maintainable code while following established software engineering and DataOps practices</li>
<li>Collaborate with engineers, architects, and stakeholders to translate business and technical requirements into working software</li>
<li>Support secure data management practices, including access controls, data governance, and compliance with DoW requirements</li>
<li>Participate in code reviews and Agile development activities, sharing ideas and contributing to engineering improvements</li>
<li>Document data transformations, pipeline processes, and technical decisions to support maintainability and downstream users</li>
<li>Identify opportunities to improve existing workflows, reduce manual processes, and strengthen the reliability of the Army's data ecosystem</li>
</ul>
REQUIRED SKILLS &amp; EXPERIENCE
<ul>
<li>2+ years of related experience in data engineering, software development, data integration, or a closely related field</li>
<li>Experience developing Python-based data transformations, scripts, or workflow automation</li>
<li>Hands-on experience building, maintaining, or troubleshooting data pipelines and ETL/ELT processes</li>
<li>Experience consuming data from APIs and working with file formats such as X12, JSON, flat files, or fixed-width files</li>
<li>Experience working with AWS cloud services, particularly AWS Glue, AWS Lambda, Amazon S3, and CloudWatch Logs</li>
<li>Familiarity with working with large datasets, including identifying and troubleshooting data processing or performance issues</li>
<li>Understanding of data structures, data modeling concepts, and common approaches to organizing and transforming data</li>
<li>Experience writing and maintaining automated tests using Pytest or similar testing frameworks</li>
<li>Familiarity with data validation, error handling, logging, and debugging practices</li>
<li>Understanding of data security, access controls, and data quality principles</li>
<li>Experience using GitLab for version control and collaborative development</li>
<li>Comfortable working through the terminal or command-line interface</li>
<li>Experience using Jira and Confluence in an Agile development environment</li>
<li>Ability to interpret ambiguous requirements, file specifications, and JSON structures to develop functional data solutions</li>
<li>Strong problem-solving skills and ability to collaborate effectively with technical and non-technical stakeholders</li>
<li>Must currently possess or have the ability to obtain an AWS Cloud Practitioner certification (or higher) within 30 days of hire</li>
<li>Must currently possess or have the ability to obtain a CompTIA Security+ certification (or higher) within 30 days of hire</li>
</ul>
NICE TO HAVE
<ul>
<li>Experience working with DoW systems, data, or other regulated environments</li>
<li>Familiarity with X12/MILS processing</li>
<li>Experience with Apache Spark, Kafka, or other distributed data processing frameworks</li>
<li>Knowledge of data orchestration tools such as Apache Airflow or AWS Step Functions</li>
<li>Exposure to Infrastructure-as-Code tools, including Terraform or CloudFormation</li>
<li>Understanding of DevOps and DataOps practices, including CI/CD pipelines</li>
<li>AWS certifications such as Solutions Architect, Data Analytics, or similar</li>
<li>Experience developing reusable pipeline components or improving established engineering patterns</li>
<li>Experience contributing to data architecture decisions, schema design, or pipeline performance optimization</li>
<li>Familiarity with database performance optimization, indexing, or partitioning strategies</li>
<li>Experience with data lineage, metadata management, or data cataloging tools</li>
<li>Experience providing technical guidance, mentoring teammates, or contributing to engineering best practices</li>
<li>Familiarity with AI-assisted development tools for coding, testing, documentation, or workflow automation</li>
</ul>
BENEFITS &amp; PERKS
<ul>
<li>Health, dental and vision insurance plans</li>
<li>Flexible Spending Account (FSA)</li>
<li>401k with employer match</li>
<li>Company Sponsored Life Insurance, Short and Long Term Disability coverage</li>
<li>Flexible PTO + all Federal holidays off</li>
<li>Professional development opportunities (training, certifications, conferences)</li>
<li>Paid cloud developer accounts</li>
<li>Referral Bonus - good people know good people</li>
<li>HQ Office Perks (parking / metro reimbursement, nitro coffee &amp; lunches) </li>
<li>Annual Social Events (540 week, hackathon, charity golf tournament, etc.)</li>
<li>Access to 540’s Washington Capitals &amp; Nationals tickets</li>
</ul>
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.

Data Engineer

540 is seeking a Senior Data Engineer to support a mission-critical federal health data modernization initiative. The team is bringing together information from diverse defense and federal systems to build scalable data pipelines, APIs, and data products that improve how critical health data is integrated, accessed, and used.
In this role, you’ll serve as a senior technical contributor, delivering scalable, production-ready data capabilities while establishing reusable patterns for data ingestion, integration, and delivery. You’ll solve complex data challenges, guide engineering teams, and help shape the technical foundation of a growing data platform ecosystem supporting federal health missions.
Location: Remote within the continental United States. Periodic travel may be required Citizenship &amp; 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: Senior Data Engineer
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
<ul>
<li>Design, develop, and maintain scalable, production-ready data pipelines and data products using Spark (Python/SQL) in a Databricks environment</li>
<li>Lead the integration and transformation of complex data from diverse DoW and federal health systems and sources into reliable, reusable data products</li>
<li>Design scalable approaches for data ingestion, integration, and exchange, including API-based integrations and services</li>
<li>Establish and promote reusable data engineering patterns, standards, and best practices that improve consistency, scalability, and maintainability across data products</li>
<li>Provide technical guidance on data architecture, pipeline design, data modeling, integration approaches, and engineering practices</li>
<li>Monitor, troubleshoot, and optimize production workflows and data pipelines, identifying performance, reliability, and scalability improvements</li>
<li>Define and implement data validation, quality, and governance practices that improve the reliability and usability of data products</li>
<li>Troubleshoot complex technical and data integration challenges, identify root causes, and drive sustainable solutions</li>
<li>Collaborate with engineers, architects, analysts, and customer stakeholders to translate complex data needs into scalable technical solutions</li>
<li>Provide technical guidance and mentorship to other engineers, helping teams navigate complex or unfamiliar technical challenges</li>
<li>Proactively identify opportunities to improve engineering tools, processes, and patterns and help drive their adoption across the team</li>
<li>Take ownership of complex technical areas and help maintain engineering quality, consistency, and cohesion as the platform and portfolio of data products grow</li>
</ul>
REQUIRED SKILLS &amp; EXPERIENCE
<ul>
<li>10+ years of data engineering, software engineering, or related technical experience</li>
<li>Extensive hands-on experience designing, building, and operating production data pipelines and data products</li>
<li>Advanced proficiency with Python and SQL</li>
<li>Strong experience with Apache Spark and distributed data processing</li>
<li>Experience working with Databricks or similar modern data platforms</li>
<li>Experience designing and maintaining ETL/ELT processes for complex, large-scale datasets</li>
<li>Experience integrating data across disparate systems and consuming or developing API-based data integrations</li>
<li>Strong understanding of data modeling, data architecture, data quality, and data governance principles</li>
<li>Experience troubleshooting and optimizing complex production data pipelines for performance, reliability, and scalability</li>
<li>Experience working with Git-based development workflows and modern software engineering practices</li>
<li>Experience working in terminal / command-line environments</li>
<li>Demonstrated experience providing technical guidance, mentoring engineers, and influencing engineering practices</li>
<li>Strong client and stakeholder communication skills, with the ability to translate technical concepts and recommendations for both technical and non-technical audiences</li>
<li>Ability to independently navigate ambiguity, identify technical risks, and drive complex engineering challenges toward resolution</li>
<li>Experience spotting security, privacy and compliance issues and working with security/compliance/legal stakeholders</li>
</ul>
NICE TO HAVE SKILLS &amp; EXPERIENCE
<ul>
<li>AWS cloud experience</li>
<li>Experience working with very large datasets, including datasets with billions of records</li>
<li>Experience with Palantir Foundry</li>
<li>GitLab experience</li>
<li>Experience working with Advana or similar DoW data environments</li>
<li>Experience working with federal health, financial, or other regulated and sensitive data</li>
<li>Experience using AI/ML to accelerate work, including automating routine tasks, accelerating development and debugging</li>
</ul>
BENEFITS &amp; PERKS
<ul>
<li>Flexible PTO + all Federal holidays off</li>
<li>Health, dental and vision insurance plans</li>
<li>Flexible Spending Account (FSA)</li>
<li>401k with employer match</li>
<li>Company-sponsored life insurance, short- and long-term disability </li>
<li>Professional development (training, certifications, conferences)</li>
<li>Paid cloud developer accounts</li>
<li>Referral bonuses</li>
<li>HQ office perks (parking / metro reimbursement, nitro coffee &amp; lunches) </li>
<li>Annual social events (540 Week, hackathon, charity golf tournament, etc.)</li>
<li>Access to 540’s Washington Capitals &amp; Nationals tickets</li>
</ul>
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.

Senior Data Engineer

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 &amp; 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
<ul>
<li>Design, develop, and maintain scalable, production-ready data pipelines using Spark, Python, and SQL in a Databricks environment</li>
<li>Integrate and transform diverse health, financial, and operational datasets into reliable, reusable data products</li>
<li>Develop data models and analytics datasets that support enterprise reporting and operational decision-making</li>
<li>Build and maintain API-based integrations for ingesting and exchanging data across systems</li>
<li>Monitor, troubleshoot, and optimize scheduled workflows and production pipelines for performance, reliability, and scalability</li>
<li>Implement data validation, quality checks, lineage, and governance practices that improve trust in data products</li>
<li>Contribute to automated testing, code reviews, technical documentation, and reusable engineering patterns</li>
<li>Collaborate with engineers, architects, analysts, and customer stakeholders to translate data needs into practical technical solutions</li>
</ul>
REQUIRED SKILLS &amp; EXPERIENCE
<ul>
<li>3+ years of data engineering, software engineering, or related technical experience</li>
<li>Strong proficiency with Python and SQL</li>
<li>Experience with Apache Spark or similar distributed data-processing frameworks</li>
<li>Experience working with Databricks or a similar modern data platform</li>
<li>Experience building and maintaining production data pipelines and ETL/ELT processes</li>
<li>Working knowledge of data modeling and transforming raw data into reusable analytics datasets or data products</li>
<li>Experience integrating or consuming data through REST APIs</li>
<li>Experience troubleshooting and optimizing data pipelines for performance and reliability</li>
<li>Familiarity with data validation, quality, governance, security, privacy, and compliance considerations</li>
<li>Experience with Git-based development workflows and modern software engineering practices</li>
<li>Comfort working in terminal and command-line environments</li>
<li>Experience using AI-assisted development tools to accelerate routine engineering tasks, testing, documentation, and debugging</li>
<li>Strong communication skills and experience working with customers or stakeholders to understand and resolve data needs</li>
<li>Ability to navigate ambiguity, learn unfamiliar systems, and independently drive assigned work toward resolution</li>
</ul>
NICE TO HAVE SKILLS &amp; EXPERIENCE
<ul>
<li>AWS cloud experience</li>
<li>Experience working with very large datasets, including datasets containing billions of records</li>
<li>Experience with Palantir Foundry</li>
<li>Experience with Advana or similar DoW data environments</li>
<li>Experience with GitLab, CI/CD pipelines, or automated deployment workflows</li>
<li>Experience working with federal health, financial, or other regulated and sensitive data</li>
</ul>
BENEFITS &amp; PERKS
<ul>
<li>Flexible PTO + all Federal holidays off</li>
<li>Health, dental and vision insurance plans</li>
<li>Flexible Spending Account (FSA)</li>
<li>401k with employer match</li>
<li>Company-sponsored life insurance, short- and long-term disability </li>
<li>Professional development (training, certifications, conferences)</li>
<li>Paid cloud developer accounts</li>
<li>Referral bonuses</li>
<li>HQ office perks (parking / metro reimbursement, nitro coffee &amp; lunches) </li>
<li>Annual social events (540 Week, hackathon, charity golf tournament, etc.)</li>
<li>Access to 540’s Washington Capitals &amp; Nationals tickets</li>
</ul>
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.

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