Senior Full Stack Engineer

Senior Full Stack Engineer (Databricks focus) at Mostly remote, but candidates should be in DMV area

IV: 2 IVs with ATA

Hiring Model: 6 months TTP. ATA will definitely convert at 6 months

Rate: $70-$80/hr on W2

Conversion Salary: $140-$160K
Visa: USC (federal)

Job Description:

Client in national programs that provide housing and community development assistance, while working to ensure fair and equal housing opportunities across the country. HUD's mission is "to create strong, sustainable, inclusive communities and quality affordable homes for all" and to strengthen the housing market, improve quality of life, and build inclusive communities free from discrimination. This position directly supports HUD's Office of the Chief Information Officer (OCIO), advancing modernization initiatives that improve the technology and data foundation behind these mission-critical programs. Our work helps HUD transform the way it delivers services to the public through secure, automated, cloud-based, and data-driven solutions that enable HUD to fulfill its mission nationwide.

We are seeking a capable and mission-focused Full Stack Engineer to support the deployment, configuration, integration, and ongoing operation of HUD's data infrastructure, including Databricks, within HUD's enterprise environment. This hands-on engineering role will work alongside cloud, data, security, and DevSecOps teams to establish secure and repeatable data, analytics, and AI/ML infrastructure to enable modern data engineering and governance. The ideal candidate combines practical Databricks deployment and operations experience with cloud engineering, automation, and troubleshooting skills and is comfortable learning and working across multiple technologies in a dynamic federal environment. As a senior member of the team, this individual will also work directly with HUD stakeholders, help guide technical approaches, and provide technical leadership to other engineers.

Key Responsibilities

• Deploy, configure, and support enterprise data platform workspaces and associated cloud infrastructure.
• Configure compute, storage, identity, access controls, Unity Catalog, and related platform services.
• Automate deployments and configuration using Infrastructure as Code (IaC), scripting, APIs, and CI/CD tools.
• Integrate data platform with enterprise data sources, cloud services, security capabilities, and development tools.
• Support data engineering workloads, ingestion pipelines, and Databricks-based applications.
• Monitor, troubleshoot, and resolve platform, integration, performance, and access issues.
• Collaborate with data, cloud, cybersecurity, DevSecOps, and application teams to implement secure and reliable solutions.
• Develop and maintain technical documentation, deployment procedures, and operational guidance.

Required Qualifications

• Bachelor's degree in a technical discipline or equivalent relevant professional experience.
• 10+ years of relevant cloud, data engineering, platform engineering, or DevOps experience.
• Hands-on experience with Databricks deployments and operations.
• Experience working with AWS, Azure, or another major cloud platform.
• 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.

Preferred Qualifications

• 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.