Senior Data Engineer

540 is seeking a Senior Data Engineer to support a mission-critical technology modernization effort for the Department of War. You will lead the design and evolution of Databricks-based data pipelines and lakehouse capabilities that enable secure data integration, analytics, AI/ML, and operational workloads at enterprise scale.

Working with engineers, architects, cybersecurity teams, and mission stakeholders, you will translate complex requirements into secure, scalable solutions using Databricks, Apache Spark, and Delta Lake. You will define engineering standards, guide technical delivery, and mentor engineers while ensuring data quality, governance, and platform reliability.

• Location : Arlington, VA
• 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, or a related technical field preferred; equivalent combinations of education and relevant experience will be considered
• 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

Lead the architecture and evolution of Databricks-based data pipelines and lakehouse capabilities

Translate mission requirements into scalable data architectures and implementation strategies

Define data engineering standards, reusable patterns, and best practices across engineering teams

Architect automated ETL/ELT pipelines using Python, SQL, PySpark, Apache Spark, and Delta Lake

Design scalable data models, schemas, data contracts, and medallion architecture patterns

Lead the development of batch and streaming capabilities supporting operational, analytical, and AI/ML workloads

Establish data quality, lineage, metadata, observability, and governance practices using Unity Catalog or similar technologies

Optimize Databricks and Spark workloads for performance, scalability, reliability, and cost efficiency

Establish CI/CD, infrastructure-as-code, testing, monitoring, and operational practices for Databricks environments

Lead design reviews and resolve complex issues spanning data pipelines, infrastructure, and production services

Partner with cybersecurity teams to incorporate security, access control, auditing, and governance requirements

Communicate architecture decisions and mentor engineers on Databricks and data engineering best practices

REQUIRED SKILLS & EXPERIENCE

9+ years of relevant data engineering or software engineering experience

Experience leading enterprise-scale data platform and pipeline implementations using Databricks

Advanced proficiency with Python, SQL, PySpark, Apache Spark, and Delta Lake

Experience architecting large-scale ETL/ELT, batch, and streaming pipelines

Experience designing lakehouse architectures, data models, schemas, and data contracts

Experience managing and optimizing Databricks jobs, workflows, compute resources, and Spark workloads

Experience implementing data quality, monitoring, lineage, metadata management, and governance capabilities

Experience with Unity Catalog or similar data-governance and access-control solutions

Experience operating Databricks within AWS, Azure, or Google Cloud

Experience with CI/CD, infrastructure as code, automated testing, and source control

Strong understanding of data security, privacy, governance, and access-control principles

Experience leading technical reviews, mentoring engineers, and communicating architecture decisions

NICE TO HAVE

Relevant Databricks certification

Experience supporting DoW, federal, Advana, or other mission data environments

Experience building data platforms in classified, regulated, or mission-critical environments

Experience with Terraform, Databricks Asset Bundles, Airflow, or similar automation and orchestration tools

Experience architecting streaming solutions using Kafka, Kinesis, Pulsar, or Spark Structured Streaming

Experience supporting AI/ML pipelines, feature platforms, or MLflow

Currently holds, or is willing to obtain within 30 days of employment, an approved certification such as Cloud+, GSEC, Security+, or SSCP

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

Professional development (training, certifications, conferences)

Paid cloud developer accounts

Referral bonuses

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

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.