Senior Data Warehouse Engineer

Candidates must be willing to participate in at least one in-person interview.

What Success Looks Like (Objectives):

• Monitor and provide expert-level operational support for large enterprise data ecosystems using Snowflake and Databricks while resolving ETL/ELT bottlenecks
• Architect, maintain, and optimize scalable batch and streaming pipelines on AWS using clean, production-grade Python code
• Design, automate, and manage complex enterprise data workflows and job schedules using Apache Airflow and Control-M
• Champion Infrastructure-as-Code (IaC), manage CI/CD pipelines via Git Lab, and integrate Generative AI tools like Amazon Q to drive operational efficiency
• Lead incident management, root cause analysis meetings, and operational metrics development to continuously improve production systems
• Collaborate within Agile/Scrum frameworks alongside Data Scientists, Analysts, and Dev Ops teams to execute complex data transformation logic

Core Skills and Competencies (What you’ll bring):

• Critical experience designing, developing, and engineering large-scale Enterprise Data Warehouses (EDW) and modern data lake architectures
• Advanced proficiency in SQL, Python, and Shell scripting for building and deploying production-grade data pipelines
• Deep expertise in AWS data services and cloud infrastructure, including IAM, VPC, Cloud Watch, Redshift, and S3
• Strong ability in relational and analytical data modeling utilizing Dimensional (Kimball) and 3NF structures
• High proficiency in Dev Ops best practices, version control using Git/Git Lab, and IaC tools such as Terraform or AWS Cloud Formation
• AI Literacy and Application skills to evaluate modern technologies like Generative AI tools (Amazon Q, Gemini, Databricks Genie Rooms) to accelerate development workflows

Minimum Requirements:

• Minimum Education: Bachelor's degree in Computer Science, Software Engineering, or a related technical field
• Minimum Experience: 4+ years of professional experience in Enterprise Data Warehousing and data lake engineering
• Required Technical
  
  Skills:
  
  Must have at least 3 years of experience with:
  • SQL, Python, and Shell scripting
  • AWS Cloud Data Platform (S3, Redshift, EC2, Glue), Snowflake or Databricks ecosystems

Visa sponsorship not available for this role

#LI-CH2

Compensation: $96,250.00/Year - $/Year

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.

Echo Star 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.

We offer meaningful health perks, including flexible spending accounts, HSA, a 401(k) plan with company match, employee stock purchase plan, career opportunities, and a flexible time away plan. Review a benefits summary here:
Echo Star 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.

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…