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Senior Data Warehouse Engineer

Pay
$96,250–137,500/year — pay source
Salary Range Compensation: $96,250.00/Year - $137,500.00/Year About Our Department 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.
Read the full posting
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: FULL_TIME
From the employer’s posting

Before you apply

Work authorization
Must already have the right to workVisa sponsorship not available for this role

What you’ll work on

Full posting
  • Monitor and support large enterprise data platforms on Snowflake and Databricks

  • Build and optimize batch and streaming pipelines on AWS in Python

  • Design and manage complex data workflows and schedules in Airflow and Control-M

  • Manage infrastructure-as-code and GitLab CI/CD pipelines

  • Lead incident management and root cause analysis meetings

From the employer’s posting
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 GitLab
Lead incident management, root cause analysis meetings, and operational metrics development

What you’ll bring

All qualifications

Core experience

  • SQL, Python, and Shell scripting
Qualification wording
SQL, Python, and Shell scripting
Education & alternatives
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

Benefits in the posting

Full benefits wording
  • 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: 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.

From the employer’s posting.

About EchoStar

EchoStar is reimagining the future of connectivity.

In the employer’s words · Read in context

Apply at EchoStar

Posting record

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Status in our records
Live
First seen by us
Oct 16, 202619 days ago
Recorded sightings
95
Last seen by us
Nov 5, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

Lower than most similar jobs

$96.3K–$138K against $127K–$190K, the middle half of what similar US postings state.

From 2,133 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 19

Similar jobs usually come down between day 6 and day 54.

At EchoStar, jobs usually come down by about day 44.

From 11,033 similar postings that came down, and 36 of EchoStar’s. Coming down is not always a hire.

EchoStar is hiring

9 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Data Engineer hiring is picking up
  • Takes jobs down at a usual pace
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • SQL
  • AWS
  • Databricks
  • Redshift
  • S3
  • Snowflake
  • Terraform
  • Airflow
Where the posting names them
- 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
- 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, CloudWatch, Redshift, and S3
- 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
- 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, CloudWatch, Redshift, and S3 - Strong ability in relational and analytical data modeling utilizing Dimensional (Kimball) and 3NF structures
- Strong ability in relational and analytical data modeling utilizing Dimensional (Kimball) and 3NF structures - High proficiency in DevOps best practices, version control using Git/GitLab, and IaC tools such as Terraform or AWS CloudFormation - AI Literacy and Application skills to evaluate modern technologies like Generative AI tools (Amazon Q, Gemini, Databricks Genie Rooms) to accelerate development workflows
- SQL, Python, and Shell scripting - AWS Cloud Data Platform (S3, Redshift, EC2, Glue), Snowflake or Databricks ecosystems Visa sponsorship not available for this role
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
- High proficiency in DevOps best practices, version control using Git/GitLab, and IaC tools such as Terraform or AWS CloudFormation - 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:
- 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 GitLab, and integrate Generative AI tools like Amazon Q to drive operational efficiency

Your next step

Complete your application on attract-careers1-echostar.icims.com. The employer’s form will show what is required.

Applying through iCIMS

  • You start with your email. New applicants then create a login, and returning ones sign in.
  • Upload your resume before you fill anything in: iCIMS fills some profile fields from it.
  • Check your status on the employer’s iCIMS Dashboard, under Past Job Submittals.

Already applied? Track this application

About EchoStar

People
About 12,100 in 2025, down 12% from the year before.Annual report (SEC Form 10-K)
Company
Listed as SATS.

Demand for Data Engineer roles

New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.

Weekly new Data Engineer postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 839, the most 1,314, and the latest week had 1,086.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗


What Success Looks Like (Objectives):

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

This role addresses the complex challenges of scaling enterprise data infrastructure and maintaining peak system reliability across massive ecosystems. The position focuses on eliminating performance bottlenecks, streamlining ETL/ELT workflows, and maintaining strict data quality standards. Additionally, modernizing data pipeline engineering with cloud-native architectures and leveraging artificial intelligence will drive continuous operational excellence.

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 GitLab, 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 DevOps teams to execute complex data transformation logic

Core Skills, Competencies, and Key Experiences (What you’ll bring)

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, CloudWatch, Redshift, and S3
  • Strong ability in relational and analytical data modeling utilizing Dimensional (Kimball) and 3NF structures
  • High proficiency in DevOps best practices, version control using Git/GitLab, and IaC tools such as Terraform or AWS CloudFormation
  • 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


Salary Range

Compensation: $96,250.00/Year - $137,500.00/Year
About Our Department

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.


About Our Company

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.


Benefits

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: 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.

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.

This job posting will be active for a minimum of 3 days and 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. If you have questions regarding your application or the recruitment process please email Recruiting@Dish.com.

Click the links to access the following statements: EEO Policy Statement, Pay Transparency, EEOC Know Your Rights (English/Spanish)

Source details

View original posting ↗

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Pay
Salary Range Compensation: $96,250.00/Year - $137,500.00/Year About Our Department 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.
Location & working pattern

Englewood, Colorado

Working pattern and location restrictions need checking in the full posting.

Work authorization
- AWS Cloud Data Platform (S3, Redshift, EC2, Glue), Snowflake or Databricks ecosystems Visa sponsorship not available for this role #LI-CH2

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