Unity Engineer Jobs in Denver, CO (NOW HIRING)

Company Summary

EchoStar is reimagining the future of connectivity. Our business reach spans satellite television service, live-streaming and on-demand programming, smart home installation services, mobile plans and products.
Today, our brands include Boost Mobile, DISH TV, Gen Mobile, Hughes and Sling TV.

Department Summary

Our Technology teams challenge the status quo and reimagine capabilities across industries. Whether through research and development, technology innovation or solution engineering, our team members play a vital role in connecting consumers with the products and platforms of tomorrow.

Job Duties and Responsibilities

Candidates must be willing to participate in at least one in-person interview, which may include a live whiteboarding or technical assessment session.

EchoStar is seeking a Senior Databricks AI Enablement Engineer to lead the technical onboarding of users, teams, and data domains onto the enterprise Databricks platform. This role is responsible for connecting external data sources, enabling governed AI and ML use cases, supporting Databricks Genie and related AI capabilities, and ensuring new workloads are onboarded with the right tagging, cost attribution, access controls, and operational standards.

This is a hands-on engineering role for someone who understands how to make Databricks usable at scale. The right candidate can connect source systems, structure data for analytics and AI, guide users on platform capabilities, and enforce the governance and financial controls needed for enterprise adoption.

What Success Looks Like (Objectives)

• Accelerate the technical onboarding of new users and business units by implementing standardized, scalable platform configurations
• Architect seamless integrations for external enterprise data sources to enable high-impact analytics and governed AI use cases
• Deploy Databricks-native AI capabilities, including Genie and Mosaic AI, to ensure innovative solutions are practical and supportable
• Enforce enterprise-wide standards for metadata, Unity Catalog registration, and data lineage to maintain high data integrity
• Establish transparent financial accountability through robust chargeback practices and usage-aligned cost allocation reporting
• Design reusable automation templates and self-service patterns that reduce manual friction for onboarding common data products

Skills, Experience and Requirements
Core Skills and Competencies (What you’ll bring)

• Advanced technical expertise in the Databricks production ecosystem, specifically regarding Delta Lake and Unity Catalog architecture
• Mastery of Python, SQL, and PySpark for designing resilient and sophisticated data engineering pipelines
• Deep conceptual knowledge of AI Innovation, including the practical application of LLM-driven workflows and vector search patterns
• Critical experience in cloud platform governance, focusing on security standards, access controls, and auditability within AWS
• Professional aptitude for FinOps and platform cost management to ensure long-term financial sustainability of technical workloads
• Strong collaborative communication abilities to translate complex technical requirements for both engineering teams and business stakeholders

Additional Qualifications

• Experience with LLM application design, including retrieval-augmented generation and agent frameworks.
• Proficiency in CI/CD for Databricks deployments using Terraform, Asset Bundles, or GitLab
• Active Databricks certifications in Data Engineering, Platform Administration, or Machine Learning

Minimum Requirements

• Minimum Education: Bachelor’s Degree in Computer Science, Information Systems, Data Engineering, or a related technical field

• Minimum Experience:5 years of experience in data engineering, platform engineering, or cloud data roles

• Required Technical Skills:

  • Experience with 3+ years of hands-on Databricks production environment management
  • Proficiency in Python and PySpark for data pipeline design
  • Proven experience implementing Unity Catalog and governance controls at scale

Salary Ranges
Compensation: $116,875.00/Year - $158,125.00/Year
Benefits

We offer versatile health perks, including flexible spending accounts, HSA, a 401(k) Plan with company match, ESPP, career opportunities, and a flexible time away plan; all benefits can be viewed here: EchoStar Benefits.

The base pay range shown is a guideline. Individual total compensation will vary based on factors such as qualifications, skill level, and competencies; compensation is based on the role's location and is subject to change based on work location. 

Candidates need to successfully complete a pre-employment screen, which may include a drug test and DMV check. Our company is committed to fostering an inclusive and equitable workplace where every individual has the opportunity to succeed. We are dedicated to providing individuals with criminal or arrest records a fair chance of employment in accordance with local, state, and federal laws.

The posting will be active for a minimum of 3 days. The active posting will continue to extend by 3 days until the position is filled.

We pride ourselves on developing and promoting talent as an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. EchoStar will accommodate the sincerely held religious beliefs of employees if such accommodations are not undue hardships and are otherwise within the bounds of applicable law. All qualified applicants with arrest or conviction records will be considered for employment in accordance with local, state, and federal law. You may redact any information that identifies age, date of birth, or dates of school/graduation from your application documents before submission and throughout our application process.
EchoStar will provide reasonable accommodation to otherwise qualified job applicants and employees with known physical or mental disabilities, unless doing so poses an undue hardship on the Company, poses a direct threat of substantial harm to others, or is otherwise not required by law. EchoStar has a more detailed Accommodation Policy that applies to employees. EchoStar endeavors to make echostar.com and jobs.echostar.com accessible to users. Please contact leaves@dish.com if you would like to discuss the accessibility of our website or need assistance completing the application process. This contact information is for accommodation requests only; do not use this contact information to inquire about the status of applications.
Click the links to access the following statements: EEO Policy Statement, Pay Transparency, EEOC Know Your Rights (English/Spanish)

Qualifications:Core Skills and Competencies (What you’ll bring)

• Advanced technical expertise in the Databricks production ecosystem, specifically regarding Delta Lake and Unity Catalog architecture
• Mastery of Python, SQL, and PySpark for designing resilient and sophisticated data engineering pipelines
• Deep conceptual knowledge of AI Innovation, including the practical application of LLM-driven workflows and vector search patterns
• Critical experience in cloud platform governance, focusing on security standards, access controls, and auditability within AWS
• Professional aptitude for FinOps and platform cost management to ensure long-term financial sustainability of technical workloads
• Strong collaborative communication abilities to translate complex technical requirements for both engineering teams and business stakeholders

Additional Qualifications

• Experience with LLM application design, including retrieval-augmented generation and agent frameworks.
• Proficiency in CI/CD for Databricks deployments using Terraform, Asset Bundles, or GitLab
• Active Databricks certifications in Data Engineering, Platform Administration, or Machine Learning

Minimum Requirements

• Minimum Education: Bachelor’s Degree in Computer Science, Information Systems, Data Engineering, or a related technical field

• Minimum Experience:5 years of experience in data engineering, platform engineering, or cloud data roles

• Required Technical Skills:

  • Experience with 3+ years of hands-on Databricks production environment management
  • Proficiency in Python and PySpark for data pipeline design
  • Proven experience implementing Unity Catalog and governance controls at scale

Education:UNAVAILABLEEmployment Type: FULL_TIME