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

EDUCATION AND EXPERIENCE:

• Bachelor’s degree in computer science, or similar technical field
• 6-8 years experience with:
• Advanced SQL and querying large datasets within data warehouse platforms like Snowflake, Redshift, and Postgres
• ETL/ELT workflows and data pipeline orchestration for managing data warehouses and data lakes
• Operational domains such as commissions, finance, or sales operations
• Demonstrated experience with Data Warehouse design, development, and maintenance
• Hands-on experience with data modeling within a data warehouse environment

SKILLS AND QUALIFICATIONS:

• Strong understanding of relational and non-relational data models; ability to interpret and explain data flows across systems
• Familiarity with Control-M and/or Autosys or other enterprise workload automation tools
• Understanding of data governance, lineage, or cataloging best practices
• Familiarity with BI tools like Tableau for exploring and validating data
• Exposure to NoSQL databases like MongoDB and an understanding of their role in modern data ecosystems, including data lake integration
• Clear and concise communication skills—especially when bridging the gap between business logic and technical implementation
• Comfortable working as part of an Agile development team and collaborating across disciplines
  

  LI-JZ2

• Work with business and technical stakeholders to gather, clarify, and document data requirements for automated processes, with a strong focus on data warehousing principles
• Collaborate with data engineers to build and validate data marts, scheduled reports, and system outputs, ensuring adherence to data warehousing best practices
• Assist in defining data logic and transformation rules that support downstream systems and operational workflows
• Help with QA, testing, and validation of data flows to ensure high accuracy and reliability, particularly for data warehouse and data mart solutions
• Maintain clear documentation of data definitions, transformation logic, and system dependencies, including data models for data warehouses and data marts
• Look for opportunities to streamline manual data tasks through automation or self-service tools
  Skills, Experience and Requirements