Sr. Full Stack Engineer (Databricks)

Required Skills & Experience

• 9+ years of relevant cloud, data engineering, platform engineering, or DevOps experience.
• Hands-on experience with Databricks platform architecture, deployments and operations.
• Experience working with AWS
• Experience with Infrastructure as Code and CI/CD tools and practices.
• Working knowledge of Python, SQL, and/or scripting languages.
• Understanding of cloud networking, identity and access management, security, and data integration concepts.
• Strong troubleshooting, communication, and collaborative problem-solving skills.
• U.S. Citizen, eligible for and willing to submit for a Government Security clearance upon hire.
• Sit in or near one of the following cities: Washington DC, Huntsville, AL, or Dayton, OH.

Nice to Have Skills & Experience

• Databricks or relevant cloud certification.
• Experience with Unity Catalog, Delta Lake, Apache Spark, and Databricks automation tools.
• Experience with enterprise data pipelines, data governance, or modern lakehouse architectures.
• Familiarity with federal cybersecurity requirements, including NIST, FedRAMP, or RMF.
• Experience supporting federal government technology environments.

Job Description

Insight Global is seeking a Full Stack Engineer to join our client in the federal contracting space. In this role, you will be responsible for deploying, configuring, integrating, and supporting Databricks and related data infrastructure within a secure cloud environment. The role will work closely with cloud, data, security, and DevSecOps teams to build scalable and repeatable infrastructure supporting modern data engineering and AI/ML initiatives.

The ideal candidate will have hands-on experience deploying and operating Databricks, along with a strong background in cloud engineering, automation, integration, and troubleshooting. This person will also work directly with technical stakeholders, help guide technical approaches, and provide leadership and mentorship to other engineers.

• Deploy, configure, and support Databricks and cloud-based data infrastructure.
• Manage compute, storage, identity, access controls, Unity Catalog, and platform services.
• Automate deployments using IaC, scripting, APIs, and CI/CD pipelines.
• Integrate Databricks with data sources, cloud services, security tools, and enterprise applications.
• Support data pipelines, data engineering workloads, and Databricks applications.
• Troubleshoot platform, performance, integration, and access issues.
• Collaborate with cloud, security, DevSecOps, and data engineering teams.
• Maintain technical documentation and operational procedures.