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>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>
<li>Experience using AI-assisted development tools to accelerate routine engineering tasks, testing, documentation, 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.

Data Engineer

540 is seeking a Senior Software Engineer (AI/ML) to support our partnership with Google and the Department of War in advancing mission-critical capabilities for a global data processing platform. This platform leverages Machine Learning, modern cloud and containerized technologies to ingest, process, and analyze high-volume, time-series data.
The system leverages cloud-native infrastructure, while incorporating AI/ML capabilities to enhance signal analysis, anomaly detection, and data-driven insights. Engineers on this team build and scale full-stack features across user interfaces, backend services, and data pipelines that power mission-critical analytics. You’ll play a key role in integrating AI/ML-driven capabilities into production systems, enabling faster, more accurate operational decision-making.
Location: Patrick SFB, FL or Arlington, VA. Candidates should be local to either location. Onsite support may be required based on mission and customer needs. Travel up to 25% Citizenship &amp; Clearance Requirement: Per client requirements, candidates must be U.S. Citizens with an active DoW clearance with TS/SCI eligibility Education Requirement: Bachelor's Degree in Computer Science or related field (preferred) 540 Internal Thrive Level: Senior Software 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 and develop machine learning models and applications for deployment to cloud-native services</li>
<li>Collaborate with data engineers and data scientists to productionize machine learning models and data pipelines</li>
<li>Collaborate with a cross-functional team of architects, engineers, and scientists to design and deploy Machine Learning Operations (MLOps) at scale </li>
<li>Integrate AI/ML capabilities into production systems (e.g., model inference APIs, decision-support features, anomaly detection workflows)</li>
<li>Design and optimize data models and persistence layers to support both transactional and analytical workloads</li>
<li>Enable intelligent application behavior by delivering AI and ML features to user-facing applications</li>
<li>Contribute to technical design documentation and system architecture artifacts</li>
<li>Lead or participate in code reviews, testing, and troubleshooting to ensure high-quality software</li>
<li>Drive system reliability through robust testing</li>
<li>Improve system performance, scalability, and reliability as the platform evolves</li>
</ul>
REQUIRED SKILLS &amp; EXPERIENCE
<ul>
<li>8+ years of professional software development experience</li>
<li>Experience developing microservices in containerized environments</li>
<li>Experience with, or a strong conceptual understanding of, LLM-based applications, RAG pipelines, and AI-driven decision systems</li>
<li>Experience with Python</li>
<li>Experience working with relational databases and data warehouses</li>
<li>Experience integrating AI/ML capabilities into applications (e.g., working with model inference APIs, ML pipelines, or data-driven features)</li>
<li>Ability to produce technical design documentation (system diagrams, architecture artifacts)</li>
<li>Familiarity with MLOps concepts (model deployment, monitoring, versioning)</li>
<li>Ability to design with future scalability and platform evolution in mind </li>
<li>Demonstrated ownership and ability to drive work from concept to production</li>
<li>Strong problem-solving skills and ability to navigate ambiguity</li>
<li>Excellent communication skills, including working directly with stakeholders or clients</li>
</ul>
NICE TO HAVE
<ul>
<li>Experience with Google Cloud Platform (GCP) or similar cloud environments</li>
<li>Experience designing and consuming RESTful APIs</li>
<li>Experience with API gateways and API management platforms, such as Google Apigee</li>
<li>Familiarity with API authentication and authorization (PKI, OAuth2, JWT, LDAP, SAML, etc.)</li>
<li>Experience working on U.S. Federal Government programs, particularly DoW environments</li>
<li>Google Cloud Professional-level certifications</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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