Principal Engineer, Data Management & Business Intelligence

EchoStar

$169K — $208K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Computer Science or related field
  • 5 years as a Data Engineer or similar role
  • Expertise in ETL/ELT processes for large-scale data integration
  • Experience with data warehouse or data lake architectures
  • Proficient in SQL, Python, and Unix/Linux scripting
  • Production support experience for data systems
  • Familiarity with Agile methodologies (2 years minimum).

Responsibilities

  • Design and implement data solutions and pipelines in cloud environments
  • Define standards for ETL/ELT processes for both batch and real-time data
  • Maintain data lakes and warehouses for enterprise reporting
  • Develop and optimize complex SQL queries for data analysis
  • Provide technical support and collaborate with cross-functional teams
  • Build lakehouse and business intelligence applications from the ground up
  • Integrate and enhance enterprise data solutions for AI use cases.

Benefits

  • Opportunity to work with innovative cloud technologies
  • Join a collaborative cross-functional team environment
  • Engage in Agile development practices
  • Work on impactful projects involving AI and data lakes
  • Access to ongoing professional development opportunities.
Full Job Description
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

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