Principal Engineer, Data Management & Business Intelligence

Principal Engineer, Data Management & Business Intelligence

Echo Star 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.

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.

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.

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.

Compensation: $/Year - $/Year

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