Principal Engineer, Data Management & Business Intelligence

EchoStar

Englewood, Colorado

JOB DETAILS
SALARY
$169,062–$208,725 Per Year
SKILLS
Agile Programming Methodologies, Analysis Skills, Artificial Intelligence (AI), Atlassian JIRA, Automation, Best Practices, Business Intelligence, Cloud Computing, Computer Engineering, Computer Science, Cross-Functional, Data Analysis, Data Lake, Data Management, Data Modeling, Data Processing, Data Sets, Data Warehousing, Database Extract Transform and Load (ETL), Enterprise Data Integration, Git, Identify Issues, Information Technology & Information Systems, Linux Operating System, Offshoring, Performance Tuning/Optimization, Procedure Development, Production Support, Python Programming/Scripting Language, Query Optimization, Relational Databases (RDBMS), Requirements Management, Research & Development (R&D), SQL (Structured Query Language), Satellite Television, Scripting (Scripting Languages), Software Development, Source Code/Configuration Management (SCM), Sprint Planning, Standards Development, Structured Data, Technical Support, Unix Shell Programming, Use Cases
LOCATION
Englewood, Colorado
POSTED
1 day ago
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.

Benefits:

Apply online at echostar.com/careers OR email resume to tasharedservices@dish.com. Must specify REQ # 2026-99844

Salary Range: USD $169062.00 - $208725.00 / Year

About the Company

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EchoStar