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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Databricks Engineer - **Company:** Guidehouse Inc. - **Location:** Arlington, TX, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Unity 3d, Agile Methodology, Artificial Intelligence, Microsoft Azure, Cloud Computing, Code Review, Cyber Security, Databases, Continuous Delivery, Continuous Integration, Data Governance, Extract Transform Load (ETL), Data Security, DevOps, Github, Scrum Methodology, Systems Development Life Cycle, Software Engineering, SQL Databases, Data Streaming, Data Lakes, Pyspark, Infrastructure Automation Frameworks, Information Technology, Data Lineage, Apache Kafka, Data Management, Terraform, Stream Processing, Data Pipelines, Cisco, Jenkins, Databricks - **Published:** August 6, 2026 - **Apply:** https://www.careerbuilder.com/job-details/databricks-engineer-arlington-va--4413951d-47dd-4fce-8eec-e0baf4488ca1 ## About the Role Guidehouse is seeking a Databricks Engineer to join our AI and Data Defense and Security team to support client projects involving large-scale data pipelines, troubleshooting production workloads, and leading Agile delivery teams in support of organizational and mission goals within the Department of Homeland Security (DHS). This role requires hands-on technical expertise, strong communication skills, and the ability to own workstreams independently. Responsibilities include, but are not limited to: Design, build, and maintain scalable ETL pipelines using Databricks, PySpark, SQL, and Delta Lake. Proficiency in batch and stream processing, autoloader, and compute optimization. Troubleshoot and resolve Databricks job failures, cluster performance issues, data quality gaps, and pipeline bottlenecks. Implement CI/CD practices for notebooks, workflows, and data jobs. Lead Agile Project Management (stand-ups, sprint planning, retrospectives) as needed; support backlog refinement. Collaborate with cross-functional teams including data scientists, solution architects, and client stakeholders. Communicate technical concepts and delivery impacts to non-technical audiences. Ensure all engineering work aligns with data governance, security, and compliance standards (Unity Catalog, Delta constraints, Data Lineage). Perform code reviews, data quality validation, and documentation. What You Will Need: Ability to OBTAIN and MAINTAIN a Federal or DHS Public Trust Bachelors Degree 5+ years of relevant experience What Would Be Nice To Have: Active DHS Public Trust Law Enforcement experience Scrum Master Certification Experience managing projects in similar size and scope. Experience managing IT projects using either Agile Scrum or Kanban methodologies. Experience managing projects leveraging commercial cloud infrastructure Databricks Data Engineer Associate/Professional Certification. Experience with streaming frameworks (e.g., Kafka, Event Hub). Experience with CI/CD tools (Azure DevOps, Jenkins, GitHub Actions). Experience with Unity Catalog, Terraform, or related IaC tools., Agile Programming Methodologies, Artificial Intelligence (AI), Banking Services, Certified ScrumMaster, Cisco Unity, Cloud Computing, Code Reviews, Communication Skills, Continuous Deployment/Delivery, Continuous Integration, Cross-Functional, Customer Support/Service, Data Management, Data Quality, Data Science, Database Extract Transform and Load (ETL), DevOps, GitHub, Homeland Security, Identify Issues, Information/Data Security (InfoSec), Jenkins, Kanban, Law Enforcement, Legal, Management of Information Systems/Technology (MIS), Microsoft Windows Azure, Project/Program Management, Recruiting/Staffing Agency, Regulations, Regulatory Compliance, SQL (Structured Query Language), Scalable System Development, Scrum Project Management and Software Development, Software Engineering, Sprint Planning, Sprint Retrospective, Standup Meetings, Team Lead/Manager, Technical Delivery, Trust Law, Validation Documentation, Willing to Travel ## Related Videos - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [DevOps Maturity Check – a way to balance autonomy and alignment](https://www.wearedevelopers.com/videos/58-devops-maturity-check-a-way-to-balance-autonomy-and-alignment) - [Bringing AI Model Testing and Prompt Management to Your Codebase with GitHub Models](https://www.wearedevelopers.com/videos/1536-bringing-ai-model-testing-and-prompt-management-to-your-codebase-with-github-models) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Dev Digest 132 - Binging WADFlix?](https://www.wearedevelopers.com/magazine/473-dev-digest-132-binging-wadflix) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers)