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Senior Data Analyst - Data Management & BI

Reads like a Data Engineer role: pipelines and data infrastructure.

Pay
$83,160–118,800/year — pay source
Salary Range Compensation: $83,160.00/Year - $118,800.00/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
  • Design ETL processes, data ingestion mechanisms and streaming applications on cloud services

  • Maintain core data pipelines and resolve critical production issues with minimal downtime

  • Optimize complex SQL queries and manage the underlying cloud infrastructure

  • Integrate data extracts, loads and reports with BI and analytical applications

  • Evaluate AI tools to improve existing data warehouse processes

From the employer’s posting
Design ETL processes, data ingestion mechanisms, and streaming applications utilizing cloud services
Maintain core data pipelines while evaluating and resolving critical production issues to ensure minimal downtime
Optimize complex SQL queries to maximize system performance and manage the underlying cloud infrastructure effectively
Integrate data extracts, loads, and reports seamlessly with business intelligence and analytical applications
Explore and evaluate new technologies with AI tools to continuously improve upon existing Data Warehouse processes
Education & alternatives
- Experience working within Agile teams to deliver rapid, high-quality data solutions - Possession of a Master’s degree in Data Science, Computer Science, or a closely related quantitative field Candidates must be willing to participate in at least one in-person interview.
Minimum Requirements: - Minimum Education: Bachelor’s degree in Data Science, Computer Science, or a related field - Minimum Experience: 3 years of experience in data warehouse related teams

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 4, 202632 days ago
Recorded sightings
156
Last seen by us
Nov 5, 2026
Employer says posted
Sep 28, 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

$83.2K–$119K 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 32

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

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

From 11,035 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
  • Shell
  • SQL
  • AWS
  • Databricks
  • Redshift
  • Snowflake
  • Airflow
Where the posting names them
What Success Looks Like (Objectives): - Design ETL processes, data ingestion mechanisms, and streaming applications utilizing cloud services, SQL, Python, Snowflake, and AWS Redshift - Integrate data extracts, loads, and reports seamlessly with business intelligence and analytical applications
- Competency in building scalable ETL processes, data ingestion systems, and streaming applications via AWS, Snowflake, and Redshift - Advanced proficiency in SQL optimization, Python automation, and Linux/Unix shell scripting for robust data pipeline maintenance - AI Literacy and AI Application skills to proactively evaluate and integrate emerging AI tools into existing warehouse workflows
- Collaborate closely with analysts and engineers by leveraging modern orchestration and ETL tools like Airflow and Databricks - Optimize complex SQL queries to maximize system performance and manage the underlying cloud infrastructure effectively - Explore and evaluate new technologies with AI tools to continuously improve upon existing Data Warehouse processes
- Required Technical Skills: Must have at least 1 year of experience with: - SQL - Airflow or Control-M orchestration tools
- Strong skills in designing, optimizing, and modernizing data architectures within an Enterprise Data Management Environment - Competency in building scalable ETL processes, data ingestion systems, and streaming applications via AWS, Snowflake, and Redshift - Advanced proficiency in SQL optimization, Python automation, and Linux/Unix shell scripting for robust data pipeline maintenance
- Maintain core data pipelines while evaluating and resolving critical production issues to ensure minimal downtime - Collaborate closely with analysts and engineers by leveraging modern orchestration and ETL tools like Airflow and Databricks - Optimize complex SQL queries to maximize system performance and manage the underlying cloud infrastructure effectively
- SQL - Airflow or Control-M orchestration tools - RDBMS and modern Data Warehousing concepts

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 ↗

The Enterprise Data Management Environment requires modernization and design optimization to support evolving business initiatives. Fragmented data ingestion applications and complex production pipelines demand scalable, high-performance architecture to ensure reliable analytical outputs. This role addresses these challenges by developing advanced ETL processes, optimizing cloud infrastructure, and evaluating emerging AI tools to continuously improve warehouse workflows.


What Success Looks Like (Objectives):

  • Design ETL processes, data ingestion mechanisms, and streaming applications utilizing cloud services, SQL, Python, Snowflake, and AWS Redshift
  • Integrate data extracts, loads, and reports seamlessly with business intelligence and analytical applications
  • Maintain core data pipelines while evaluating and resolving critical production issues to ensure minimal downtime
  • Collaborate closely with analysts and engineers by leveraging modern orchestration and ETL tools like Airflow and Databricks
  • Optimize complex SQL queries to maximize system performance and manage the underlying cloud infrastructure effectively
  • Explore and evaluate new technologies with AI tools to continuously improve upon existing Data Warehouse processes

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

  • Strong skills in designing, optimizing, and modernizing data architectures within an Enterprise Data Management Environment
  • Competency in building scalable ETL processes, data ingestion systems, and streaming applications via AWS, Snowflake, and Redshift
  • Advanced proficiency in SQL optimization, Python automation, and Linux/Unix shell scripting for robust data pipeline maintenance
  • AI Literacy and AI Application skills to proactively evaluate and integrate emerging AI tools into existing warehouse workflows
  • Critical thinking and collaborative problem-solving abilities to resolve complex IT issues and deliver sound data insights across cross-functional teams

Additional Qualifications:

  • Experience working within Agile teams to deliver rapid, high-quality data solutions
  • Possession of a Master’s degree in Data Science, Computer Science, or a closely related quantitative field

 

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

 

Minimum Requirements:

  • Minimum Education: Bachelor’s degree in Data Science, Computer Science, or a related field
  • Minimum Experience: 3 years of experience in data warehouse related teams
  • Required Technical Skills: Must have at least 1 year of experience with:
    • SQL
    • Airflow or Control-M orchestration tools
    • RDBMS and modern Data Warehousing concepts

 

Visa sponsorship not available for this role

 

#LI-CH2


Salary Range

Compensation: $83,160.00/Year - $118,800.00/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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Source excerpts

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Pay
Salary Range Compensation: $83,160.00/Year - $118,800.00/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
- RDBMS and modern Data Warehousing concepts Visa sponsorship not available for this role #LI-CH2

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