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Aerospace • Cloud • Digital Media • Information Technology • Mobile • News + Entertainment • Generative AI
Partner with wireless business leaders to define AI strategies and KPIs, design and deploy generative AI/ML prototypes for network analytics and troubleshooting, integrate solutions across ServiceNow, Jira, and network management platforms, enforce data governance and compliance, and drive adoption of AI tools to improve network reliability, bandwidth optimization, and operational efficiency.
Top Skills:
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Aerospace • Cloud • Digital Media • Information Technology • Mobile • News + Entertainment • Generative AI
Lead a 30+ PayTV finance organization owning budgeting, subscriber LTV modeling, promotional ROI, and M&A financial diligence. Deliver executive-level analysis and recommendations to the CFO/CEO, partner cross-functionally to improve performance, and translate complex models into clear presentations to inform strategic decisions.
Top Skills:
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Aerospace • Cloud • Digital Media • Information Technology • Mobile • News + Entertainment • Generative AI
Lead and manage a virtual team of Quality Assurance Analysts to deliver real-time virtual troubleshooting, audits, and assessments. Implement QA standards, analyze large datasets to identify trends, produce reports for senior management, resolve escalations, and partner across teams to drive process improvements and staffing decisions.
Top Skills:
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Company Summary
EchoStar builds solutions that help families and communities stay connected. We'll launch your career and empower you to change lives.
Our brands include Boost Mobile, DISH TV, Gen Mobile, Hughes and Sling TV. We serve millions of customers with offerings ranging from satellite to streaming services and global to personal networking solutions.
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
Principal Engineer, Data Management & Business Intelligence (Dish Network LLC, Englewood, Colorado)
Design, develop, and implement data solutions and data pipelines using cloud-based and distributed data platforms. Define standards and procedures for data extraction, transformation, and loading (ETL/ELT) processes supporting both batch and real-time data processing. Design and maintain data lakes and data warehouses to support enterprise reporting and analytics. Work with relational and analytical databases to store, manage, and retrieve structured and semi-structured data. Develop and optimize complex SQL queries, including performance tuning, to support data analysis and application requirements. Provide technical support to team members and collaborate with cross-functional and offshore teams as needed. Build the lakehouse and business intelligence applications, including requirements analysis, development, testing, and deployment. Integrate and enhance enterprise data lakehouse solutions to consolidate data and leverage future AI use cases from multiple internal and external data sources. Follow Agile development methodologies and established engineering best practices.Salary: $169,062 - $208,725 per year.
Skills, Experience and Requirements
Bachelor's degree or U.S. equivalent in Computer Science, Computer Engineering, Information Technology, Applied Computer Science, or a related field, plus 5 years of professional experience as a Data Engineer, or any occupation, job title, position involving design and development of batch and real-time data pipelines for enterprise data warehouse or data lake platforms.
Must also have experience in the following: 5 years of professional experience with data extraction, transformation, and loading including ETL and ELT processes for large-scale data integration. 5 years of professional experience designing and implementing data warehouse or data lake architectures, including enterprise data warehouse (EDW) environments. 5 years of professional experience writing, optimizing, and tuning complex SQL queries, including performance optimization for large datasets. 5 years of professional experience using programming and scripting languages, including SQL, Python, and Linux or Unix shell scripting, for data processing and automation. 5 years of professional experience providing production support for data systems, including troubleshooting data issues, tracing data flows from source to target, and resolving pipeline failures. 3 years of professional experience in data modeling and integrating data from multiple heterogeneous sources, including structured and semi-structured data. 2 years of professional experience working in Agile software development environments, including participating in sprint planning, development cycles, and releases using tools including
JIRA and Git-based version control systems.
Salary Ranges
Compensation: $169,062.00/Year - $208,725.00/Year
Benefits
Apply online at echostar.com/careers OR email resume to [email protected]. Must specify REQ # 2026-99844
EchoStar builds solutions that help families and communities stay connected. We'll launch your career and empower you to change lives.
Our brands include Boost Mobile, DISH TV, Gen Mobile, Hughes and Sling TV. We serve millions of customers with offerings ranging from satellite to streaming services and global to personal networking solutions.
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
Principal Engineer, Data Management & Business Intelligence (Dish Network LLC, Englewood, Colorado)
Design, develop, and implement data solutions and data pipelines using cloud-based and distributed data platforms. Define standards and procedures for data extraction, transformation, and loading (ETL/ELT) processes supporting both batch and real-time data processing. Design and maintain data lakes and data warehouses to support enterprise reporting and analytics. Work with relational and analytical databases to store, manage, and retrieve structured and semi-structured data. Develop and optimize complex SQL queries, including performance tuning, to support data analysis and application requirements. Provide technical support to team members and collaborate with cross-functional and offshore teams as needed. Build the lakehouse and business intelligence applications, including requirements analysis, development, testing, and deployment. Integrate and enhance enterprise data lakehouse solutions to consolidate data and leverage future AI use cases from multiple internal and external data sources. Follow Agile development methodologies and established engineering best practices.Salary: $169,062 - $208,725 per year.
Skills, Experience and Requirements
Bachelor's degree or U.S. equivalent in Computer Science, Computer Engineering, Information Technology, Applied Computer Science, or a related field, plus 5 years of professional experience as a Data Engineer, or any occupation, job title, position involving design and development of batch and real-time data pipelines for enterprise data warehouse or data lake platforms.
Must also have experience in the following: 5 years of professional experience with data extraction, transformation, and loading including ETL and ELT processes for large-scale data integration. 5 years of professional experience designing and implementing data warehouse or data lake architectures, including enterprise data warehouse (EDW) environments. 5 years of professional experience writing, optimizing, and tuning complex SQL queries, including performance optimization for large datasets. 5 years of professional experience using programming and scripting languages, including SQL, Python, and Linux or Unix shell scripting, for data processing and automation. 5 years of professional experience providing production support for data systems, including troubleshooting data issues, tracing data flows from source to target, and resolving pipeline failures. 3 years of professional experience in data modeling and integrating data from multiple heterogeneous sources, including structured and semi-structured data. 2 years of professional experience working in Agile software development environments, including participating in sprint planning, development cycles, and releases using tools including
JIRA and Git-based version control systems.
Salary Ranges
Compensation: $169,062.00/Year - $208,725.00/Year
Benefits
Apply online at echostar.com/careers OR email resume to [email protected]. Must specify REQ # 2026-99844
EchoStar Englewood, Colorado, USA Office
EchoStar Corporate Headquarters - Meridian Office





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9601 S Meridian Boulevard, Englewood, CO, United States, 80112
EchoStar Centennial, Colorado, USA Office
Centennial, United States
EchoStar Denver, Colorado, USA Office
EchoStar Downtown Denver Office - DGC Office





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1615 17th St., Denver, CO, United States, 80202
EchoStar Littleton, Colorado, USA Office
EchoStar Wireless Headquarters - Riverfront Office





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5701 S Santa Fe Dr., Littleton, CO, United States, 80120
What you need to know about the Colorado Tech Scene
With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.
Key Facts About Colorado Tech
- Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
- Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
- Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
- Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute



















