Lead Data Engineer

Company: EchoStar
Location: Boulder, CO, US

JobDetails

Description
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.

Your mission as a Lead Data Engineer involves maintaining and optimizing petabyte-scale data architectures within a complex enterprise cloud environment. This role ensures the continuous reliability and quality of data used for high-stakes business reporting by leading operational support and root cause analysis for critical ETL jobs. By integrating Generative AI tools and Infrastructure-as-Code, you will drive the next generation of data engineering efficiency across our company.

What Success Looks Like (Objectives)

  • Monitor and provide high-level operational support for large enterprise data warehouse systems, resolving complex ETL failures and ensuring data quality

  • Maintain and optimize scalable batch and streaming data pipelines on the AWS platform, leveraging S3, Glue, and Snowflake/Databricks for peak performance

  • Lead incident management and root cause analysis initiatives to develop robust operational metrics and drive continuous improvement of production systems

  • Partner with cross-functional Agile teams, including Data Scientists and DevOps, to implement sophisticated ETL/ELT transformation logic

  • Manage CI/CD pipelines and Infrastructure-as-Code 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 guarantee the continuous reliability and performance of enterprise data systems

Skills, Experience and Requirements

Core Skills and Competencies (What you’ll bring)

  • Expertise in architecting high-performance data pipelines using PySpark and Spark SQL with a focus on cost-optimization and query performance tuning

  • Advanced proficiency in developing parameterized SQL scripts and orchestration logic to automate sophisticated end-to-end data processing and business reporting

  • Strategic mastery of AWS data services (EC2, EMR, GLUE, S3) and core cloud architecture components including VPC, IAM, CloudWatch, and Data Lake frameworks

  • Professional expertise in designing and managing workflow orchestration using tools such as Control-M or Apache Airflow to support automated data processing

  • Deep understanding of dimensional and 3NF data modeling concepts to ensure high-quality and performant data solutions

  • AI Innovation skills to evaluate findings from POC initiatives and apply tools like Amazon Q, Gemini, or Databricks Genie Rooms to data engineering workflows

  • Critical Experience supporting the production operations of large-scale Enterprise Data Warehouses and architecting petabyte-scale ingestion pipelines

Additional Qualifications

Successful candidates will typically have:

  • Proven ability to evaluate and communicate findings from Proof-of-Concept (POC) initiatives to stakeholders

  • Strong analytical and problem-solving skills with a track record of driving continuous improvement in production systems

Minimum Requirements

  • Bachelor's degree in Computer Science or a related technical field

  • 5+ years of professional experience in the operation and production support of large Enterprise Data Warehouses

  • Hands-on experience with AWS data services and data platforms (Snowflake or Databricks)

  • Proficiency with Git/GitLab for version control and CI/CD processes

  • Knowledge of Infrastructure-as-Code tools such as Terraform or AWS CloudFormation

Salary Ranges

Compensation: $110,100.00/Year - $157,300.00/Year
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 leaves@dish.com 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)

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