Principal Engineer, Data Management & Business Intelligence

Englewood, CO, US • Posted 1 day ago • Updated 6 hours ago
Full Time
On-site
USD $169,062.00 - 208,725.00 per year
Fitment

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Job Details

Skills

  • Boost
  • Apache Sling
  • Satellite
  • Streaming
  • Computer Networking
  • Research and Development
  • Innovation
  • Data Management
  • Network
  • Cloud Computing
  • Reporting
  • Analytics
  • Analytical Skill
  • Database
  • Management
  • Data Analysis
  • Technical Support
  • Collaboration
  • Offshoring
  • Business Intelligence
  • Requirements Analysis
  • Development Testing
  • Artificial Intelligence
  • Use Cases
  • Computer Engineering
  • Information Technology
  • Computer Science
  • Real-time
  • Data Extraction
  • Extract
  • Transform
  • Load
  • ELT
  • Data Integration
  • Data Lake
  • Data Warehouse
  • Writing
  • Performance Tuning
  • Scripting
  • SQL
  • Python
  • Linux
  • Unix
  • Shell Scripting
  • Data Processing
  • Production Support
  • Data Flow
  • Data Modeling
  • Agile
  • Sprint
  • JIRA
  • Git
  • Version Control

Summary

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 Must specify REQ # 2026-99844
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10120919
  • Position Id: b770f64a0ee5af128bcfd33dcb6063db
  • Posted 1 day ago
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