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Senior Full Stack Engineer

Job in Denver, Denver County, Colorado, 80285, USA
Listing for: Cherokee Federal
Full Time position
Listed on 2026-10-09
Job specializations:
  • IT/Tech
    Cloud Computing: Infrastructure & Operations, Azure, SRE/Site Reliability, Data Engineering
Salary/Wage Range or Industry Benchmark: 140000 - 160000 USD Yearly USD 140000.00 160000.00 YEAR
Job Description & How to Apply Below

Job Title:Senior Full Stack Engineer

Location:Remote

Reports to:Program Manager

FLSA Status:Exempt

Supervisory:No supervisory/management authority

Prepared Date:10/2/2026

A government contract requires that this position be restricted to U.S. citizens or legal permanent residents. You must provide documentation that you are a U.S. citizen or legal permanent resident to qualify.

Position Summary:

We are seeking a capable and mission-focused Senior 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 Dev Sec Ops  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.

Compensation & Benefits:

Starting Salary Range for Senior Full Stack Engineer:$140,000 – $160,000

Benefits That Set Us Apart

When considering your next opportunity, compensation is only part of the picture. We offer a benefits package designed to invest in your future and support your life outside of work.

  • Up to a 6% 401(k) company match to help you build long‑term financial security
  • Paid time off as part of our comprehensive benefits package, so you have the flexibility to rest, recharge, and enjoy what matters most
  • Medical, dental, and vision insurance, plus prescription drug coverage
  • Basic life and AD&D insurance, with supplemental life options
  • Short‑term and long‑term disability coverage
  • Paid holidays
  • Employee Assistance Program (EAP)
  • Flexible Spending Account (FSA) and Health Savings Account (HSA) options
  • Professional development, training, and certification support
  • Voluntary benefits including accident, critical illness, and identity theft protection

Because taking care of our employees isn’t just a promise, it’s part of who we are.

Benefits are subject to change and eligibility requirements apply.

Essential Functions,

Duties & Responsibilities:

Includes the following:

  • Deploy, configure, and support enterprise data platform work spaces 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, Dev Sec Ops , and application teams to implement secure and reliable solutions.
  • Develop and maintain technical documentation, deployment procedures, and operational guidance.
  • Perform other job‑related duties as assigned.

Supervisory Responsibilities:

No supervisory/management authority

Basic Qualifications:

  • Bachelor’s degree in a technical discipline or equivalent relevant professional experience.
  • 10+ years of relevant cloud, data engineering, platform engineering, or Dev Ops experience.
  • Hands‑on experience with Databricks deployments and operations.
  • Experience working with AWS, Azure, or another major cloud platform.
  • Experience with…
Position Requirements
10+ Years work experience
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