Senior Data Warehouse Engineer

• Monitor and provide operational support for large enterprise data warehouse systems, resolving complex ETL job-related issues and ensuring data quality
• Maintain and optimize scalable batch and streaming data pipelines and data lake solutions on the AWS cloud platform (S3, Glue, EC2, Redshift)
• Lead incident management and root cause analysis meetings to develop operational metrics and drive continuous improvement of production systems
• Collaborate with cross-functional Agile/Scrum teams (Data Scientists, Analysts, DevOps) to implement data transformation logic (ETL/ELT)
• Manage CI/CD pipelines and Infrastructure-as-Code (IaC) using GitLab while exploring Generative AI integration points like Amazon Q for pipeline optimization
• Participate in shift-based working hours and on-call support to ensure the continuous reliability and performance of enterprise data systems

Candidates must be willing to participate in at least one in-person interview, which may include a live whiteboarding or technical assessment session., * Bachelor's degree in Computer Science or a related technical field

• 5+ years of professional experience in operation and production support of large Enterprise Data Warehouses, * Advanced proficiency in Shell scripting, Python, and SQL, with demonstrated experience developing, optimizing, and maintaining scalable, production-grade data pipelines
• Strong hands-on experience with AWS data services (EC2, S3, Redshift) and solid understanding of core cloud architecture components including VPC, IAM, CloudWatch, and Data Lake frameworks
• Experience designing and managing workflow orchestration using tools such as Control-M or Apache Airflow to support reliable, automated data processing
• Deep understanding of data modeling concepts, including dimensional and 3NF structures, ensuring high-quality and performant data solutions
• Proficiency with Git/GitLab for version control, peer code reviews, and CI/CD processes, along with working knowledge of Infrastructure-as-Code tools such as Terraform or AWS CloudFormation
• Proven ability to evaluate and communicate findings from Proof-of-Concept (POC) initiatives, with strong analytical and problem-solving skills; familiarity with Generative AI tools (e.g., Amazon Q, Gemini, Databricks Genie Rooms) and their practical application within data engineering workflows

We offer versatile health perks, including flexible spending accounts, HSA, a 401(k) Plan with company match, ESPP, career opportunities, and a flexible time away plan; all benefits can be viewed here: EchoStar Benefits .

The base pay range shown is a guideline. Individual total compensation will vary based on factors such as qualifications, skill level, and competencies; compensation is based on the role's location and is subject to change based on work location.

Candidates need to successfully complete a pre-employment screen, which may include a drug test and DMV check. Our company is committed to fostering an inclusive and equitable workplace where every individual has the opportunity to succeed. We are dedicated to providing individuals with criminal or arrest records a fair chance of employment in accordance with local, state, and federal laws.

The posting will be active for a minimum of 3 days. The active posting will continue to extend by 3 days until the position is filled.

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. 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.