Senior Data Engineer

540.co LLC; Northern (KY); Hybrid; USD 140,000 - 180,000; Full time

Benefits offered by this job

Health, dental and vision insurance

Flexible Spending Account (FSA)

401k with employer match

Life insurance and disability

Annual events and team activities

Access to event tickets

Job summary

540.co LLC seeks a Senior Data Engineer to support a federal health data modernization initiative. You will design scalable data pipelines and products using Spark/Databricks, ingest data from diverse DoW systems, and implement reusable patterns across the platform.

The role focuses on production-grade data capabilities, mentorship, and guiding engineers to craft reliable data solutions for government missions.

Qualifications

• 10+ years of data engineering, software engineering, or related technical experience.
• Extensive hands-on experience designing, building, and operating production data pipelines and data products.
• Advanced proficiency with Python and SQL.
• Strong experience with Apache Spark and distributed data processing.
• Experience working with Databricks or similar modern data platforms.
• Experience designing and maintaining ETL/ELT processes for complex, large-scale datasets.
• Experience integrating data across disparate systems and consuming or developing API-based data integrations
• Strong understanding of data modeling, data architecture, data quality, and data governance principles
• Experience troubleshooting and optimizing complex production data pipelines for performance, reliability, and scalability
• Experience working with Git-based development workflows and modern software engineering practices
• Experience working in terminal / command-line environments
• Demonstrated experience providing technical guidance, mentoring engineers, and influencing engineering practices
• Strong client and stakeholder communication skills, with the ability to translate technical concepts and recommendations for both technical and non-technical audiences
• Ability to independently navigate ambiguity, identify technical risks, and drive complex engineering challenges toward resolution
• Experience spotting security, privacy and compliance issues and working with security/compliance/legal stakeholders

Responsibilities

• Design, develop, and maintain scalable, production-ready data pipelines and data products using Spark (Python/SQL) in a Databricks environment
• Lead the integration and transformation of complex data from diverse DoW and federal health systems and sources into reliable, reusable data products
• Design scalable approaches for data ingestion, integration, and exchange, including API-based integrations and services
• Establish and promote reusable data engineering patterns, standards, and best practices that improve consistency, scalability, and maintainability across data products
• Provide technical guidance on data architecture, pipeline design, data modeling, integration approaches, and engineering practices
• Monitor, troubleshoot, and optimize production workflows and data pipelines, identifying performance, reliability, and scalability improvements
• Define and implement data validation, quality, and governance practices that improve the reliability and usability of data products
• Troubleshoot complex technical and data integration challenges, identify root causes, and drive sustainable solutions
• Collaborate with engineers, architects, analysts, and customer stakeholders to translate complex data needs into scalable technical solutions
• Provide technical guidance and mentorship to other engineers, helping teams navigate complex or unfamiliar technical challenges
• Proactively identify opportunities to improve engineering tools, processes, and patterns and help drive their adoption across the team
• Take ownership of complex technical areas and help maintain engineering quality, consistency, and cohesion as the platform and portfolio of data products grow

Skills

Python

SQL

Apache Spark

Databricks

ETL/ELT

APIs

Data modeling

Data architecture

Data governance

Git workflows

Terminal/CLI

Mentoring

Communication

Ambiguity management

Security/compliance

Education

Bachelor’s Degree in Computer Science, Engineering, Data Science, or related field

Tools

Databricks

Git

Job description

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 & 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: SeniorData Engineer

WHY 540?

540 is a forward-thinking company that the government turns to in order to get shit done. 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

• Design, develop, and maintain scalable, production-ready data pipelines and data products using Spark (Python/SQL) in a Databricks environment
• Lead the integration and transformation of complex data from diverse DoW and federal health systems and sources into reliable, reusable data products
• Design scalable approaches for data ingestion, integration, and exchange, including API-based integrations and services
• Establish and promote reusable data engineering patterns, standards, and best practices that improve consistency, scalability, and maintainability across data products
• Provide technical guidance on data architecture, pipeline design, data modeling, integration approaches, and engineering practices
• Monitor, troubleshoot, and optimize production workflows and data pipelines, identifying performance, reliability, and scalability improvements
• Define and implement data validation, quality, and governance practices that improve the reliability and usability of data products
• Troubleshoot complex technical and data integration challenges, identify root causes, and drive sustainable solutions
• Collaborate with engineers, architects, analysts, and customer stakeholders to translate complex data needs into scalable technical solutions
• Provide technical guidance and mentorship to other engineers, helping teams navigate complex or unfamiliar technical challenges
• Proactively identify opportunities to improve engineering tools, processes, and patterns and help drive their adoption across the team
• Take ownership of complex technical areas and help maintain engineering quality, consistency, and cohesion as the platform and portfolio of data products grow

REQUIRED SKILLS & EXPERIENCE

• 10+ years of data engineering, software engineering, or related technical experience
• Extensive hands-on experience designing, building, and operating production data pipelines and data products
• Advanced proficiency with Python and SQL
• Strong experience with Apache Spark and distributed data processing
• Experience working with Databricks or similar modern data platforms
• Experience designing and maintaining ETL/ELT processes for complex, large-scale datasets
• Experience integrating data across disparate systems and consuming or developing API-based data integrations
• Strong understanding of data modeling, data architecture, data quality, and data governance principles
• Experience troubleshooting and optimizing complex production data pipelines for performance, reliability, and scalability
• Experience working with Git-based development workflows and modern software engineering practices
• Experience working in terminal / command-line environments
• Demonstrated experience providing technical guidance, mentoring engineers, and influencing engineering practices
• Strong client and stakeholder communication skills, with the ability to translate technical concepts and recommendations for both technical and non-technical audiences
• Ability to independently navigate ambiguity, identify technical risks, and drive complex engineering challenges toward resolution
• Experience spotting security, privacy and compliance issues and working with security/compliance/legal stakeholders

NICE TO HAVE SKILLS & EXPERIENCE

• Experience working with very large datasets, including datasets with billions of records
• Experience with Palantir Foundry
• Experience working with Advana or similar DoW data environments
• Experience working with federal health, financial, or other regulated and sensitive data
• Experience using AI/ML to accelerate work, including automating routine tasks, accelerating development and debugging

BENEFITS & PERKS

• Flexible PTO + all Federal holidays off
• Health, dental and vision insurance plans
• Flexible Spending Account (FSA)
• 401k with employer match
• Company-sponsored life insurance, short- and long-term disability
• 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.