Company Summary:
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.
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:
Candidates must be willing to participate in at least one in-person interview, which may include a live whiteboarding or technical assessment session.
Key Responsibilities:
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Monitor and provide operational support for large enterprise data warehouse systems, resolving complex ETL job-related issues and ensuring data quality
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Maintain and optimize scalable batch and streaming data pipelines and data lake solutions on the AWS cloud platform (S3, Glue, EC2, Redshift)
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Lead incident management and root cause analysis meetings to develop operational metrics and drive continuous improvement of production systems
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Collaborate with cross-functional Agile/Scrum teams (Data Scientists, Analysts, DevOps) to implement data transformation logic (ETL/ELT)
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Manage CI/CD pipelines and Infrastructure-as-Code (IaC) using GitLab while exploring Generative AI integration points like Amazon Q for pipeline optimization
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Participate in shift-based working hours and on-call support to ensure the continuous reliability and performance of enterprise data systems
Skills, Experience and Requirements:
Education and Experience:
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Bachelor's degree in Computer Science or a related technical field
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5+ years of professional experience in operation and production support of large Enterprise Data Warehouses
Skills and Qualifications:
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
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Benefits:
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.
We pride ourselves on developing and promoting talent as an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. EchoStar will accommodate the sincerely held religious beliefs of employees if such accommodations are not undue hardships and are otherwise within the bounds of applicable law. All qualified applicants with arrest or conviction records will be considered for employment in accordance with local, state, and federal law. You may redact any information that identifies age, date of birth, or dates of school/graduation from your application documents before submission and throughout our application process.
EchoStar will provide reasonable accommodation to otherwise qualified job applicants and employees with known physical or mental disabilities, unless doing so poses an undue hardship on the Company, poses a direct threat of substantial harm to others, or is otherwise not required by law. EchoStar has a more detailed Accommodation Policy that applies to employees. EchoStar endeavors to make echostar.com and jobs.echostar.com accessible to users. Please contact
[email protected] if you would like to discuss the accessibility of our website or need assistance completing the application process. This contact information is for accommodation requests only; do not use this contact information to inquire about the status of applications.
Click the links to access the following statements: EEO Policy Statement, Pay Transparency, EEOC Know Your Rights (English/Spanish)
Salary Range: USD $96250.00 - $137500.00 / Year
