Company SummaryEchoStar 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 SummaryOur Retail Wireless team, serving our Boost Mobile and Gen Mobile brands, is redefining consumer expectations through new platforms, new business models and new ways of thinking. Equipped with a passion for change and the power to drive it, we continue to push boundaries and be a disruptive force in the market.
Job Duties and ResponsibilitiesCandidates must be willing to participate in at least one in-person interview.Organizations face growing complexities in managing and scaling data infrastructure for modern analytics and emerging AI initiatives. This role addresses these challenges by developing reliable data pipelines and maintaining robust workflows optimized for machine learning models and large language model consumption. Engineering teams must continuously balance technical performance with practical business outcomes to control cloud expenditure and avoid unnecessary computational overhead. Overcoming these hurdles requires implementing effective data observability, ensuring data governance, and collaborating cross-functionally to align operational data structures with business goals.
What Success Looks Like (Objectives):- Implement scalable data pipeline designs that optimize current infrastructure performance and improve resource utilization
- Apply cost-effective engineering practices to prioritize development tasks that enhance operational efficiency and data deliverability
- Build and maintain reliable data pipelines tailored for large language model (LLM) feature stores and AI application workflows
- Develop automated monitoring and self-healing mechanisms to detect workflow failures and trigger corrective actions
- Integrate observability tools to track data freshness, lineage, and baseline performance metrics across production environments
- Structure complex datasets into standard semantic layers to enable low-latency access for downstream AI systems and analytical queries
Skills, Experience and RequirementsCore Skills and Competencies (What you'll bring):- Practical experience developing and deploying production-grade data pipelines within cloud environments
- Demonstrated ability to evaluate technical stacks and optimize existing data processing workflows before introducing new tools
- Ability to build new AI Agents to support business operations
- Applied AI skills, specifically in integrating large language models and vector datasets into enterprise data pipelines
- Strong proficiency in Python and SQL for data transformation, scripting, and API integration
- Solid skills in Git version control, containerization tools, and CI/CD deployment pipelines
- Proven troubleshooting capabilities in diagnosing system bottlenecks and resolving issues within distributed data platforms
Additional Qualifications- Master's degree in Computer Science, Data Engineering, Artificial Intelligence, or a closely related technical field
Minimum Requirements - Minimum Education: Bachelor's Degree in Computer Science or a related technical field
- Minimum Experience: 2 years of experience in data engineering
- Required Technical Skills: Must have at least 1 year of experience with:
- Databricks, including Spark optimization and Delta Lake architecture
- Snowflake, including building and optimizing relational data models
- Python and SQL for data manipulation
Visa sponsorship not available for this position
Salary RangesCompensation: $83,160.00/Year - $118,800.00/Year
BenefitsWe 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 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)
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