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Data Warehouse Engineer Jobs (NOW HIRING)

EchoStar

Senior Data Warehouse Engineer

Englewood, CO · On-site

$96K - $137K/yr

Monitor and provide operational support for large enterprise data warehouse systems, resolving ... Collaborate with cross-functional Agile/Scrum teams (Data Scientists, Analysts, DevOps) to ...

EchoStar

Senior Data Warehouse Engineer

Englewood, CO · On-site

$96K - $137K/yr

Monitor and provide operational support for large enterprise data warehouse systems, resolving ... Collaborate with cross-functional Agile/Scrum teams (Data Scientists, Analysts, DevOps) to ...

Infojini Inc

Data Warehouse Developer

Saint Paul, MN · On-site

$49.75 - $68.25/hr

Data Warehouse Developer Location: St. Paul, MN Duration: 6+ months Client: Direct Client Roles and Responsibilities: Manage respective data warehouse to deployment including driving all related ...

IDEALFORCE LLC

Data Warehouse Developer (29649)

Phoenix, AZ · On-site

$49 - $67/hr

Company Description IDEALFORCE has a Contract position available immediately for a Data Warehouse Developer to join our customer in Phoenix Arizona . This is an ONSITE position. Please find below ...

Saxobank

$53.25 - $72.75/hr

At Saxo we are looking for an experienced Data Warehouse Developer to join our Enterprise Data Warehousing team. We are currently working on a new data warehouse to make our analytical capabilities ...

Tata Consultancy Service Limited

Data Warehouse

Draper, UT · On-site

$100K - $125K/yr

Role - Data Warehouse Engineer Experience Required - 10+ Years Must Have Technical/Functional Skills 10+ years of experience SSRS , Databricks, Data Lake Storage Gen2, Azure Analysis Services CI/CD ...

IDEALFORCE LLC

Data Warehouse Developer (30829)

Phoenix, AZ · On-site

$49 - $67/hr

Company Description IDEALFORCE has a Contract position available immediately for a Data Warehouse Developer to join our customer in Phoenix Arizona. This is an ONSITE position. Please find below ...

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How much do data warehouse engineer jobs pay per year?

As of Jun 5, 2026, the average yearly pay for data warehouse engineer in the United States is $126,499.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,500.00 and $136,500.00 per year, depending on experience, location, and employer.

What are Data Warehouse Engineers?

Data Warehouse Engineers are IT professionals who design, build, and maintain systems used for storing and analyzing large volumes of data. They create data models, implement ETL (Extract, Transform, Load) processes, and ensure data integrity and optimized performance within the data warehouse environment. Their work enables organizations to efficiently store data from various sources and make it accessible for business intelligence and analytics. Data Warehouse Engineers often collaborate with data analysts, data scientists, and database administrators to support informed decision-making.

What is the difference between Data Warehouse Engineer vs Data Analyst?

AspectData Warehouse EngineerData Analyst
CredentialsBachelor's in CS, Data Science, or related; certifications like AWS, Google CloudBachelor's in Statistics, Math, or related; certifications like Microsoft Data Analyst
Work EnvironmentDesigning, building, maintaining data warehouses; working with ETL toolsAnalyzing data, creating reports, visualizations
Industry UsageUsed in organizations managing large-scale data infrastructureUsed across industries for business insights and decision-making

While both roles work with data, Data Warehouse Engineers focus on building and maintaining data storage systems, whereas Data Analysts interpret data to generate insights. They often collaborate but have distinct technical and functional responsibilities.

What are some common challenges Data Warehouse Engineers face when integrating data from multiple sources?

Data Warehouse Engineers often encounter challenges such as data inconsistency, varying data formats, and incomplete or duplicate records when integrating information from diverse systems. Addressing these issues requires careful planning, robust ETL (Extract, Transform, Load) processes, and close collaboration with source system owners and data analysts. Additionally, ensuring data quality and maintaining up-to-date documentation are crucial to support efficient troubleshooting and future scalability.

What are the key skills and qualifications needed to thrive as a Data Warehouse Engineer, and why are they important?

To thrive as a Data Warehouse Engineer, you need expertise in database design, ETL processes, SQL, and data modeling, typically supported by a degree in computer science or a related field. Familiarity with tools like Microsoft SQL Server, Oracle, Informatica, and cloud platforms such as AWS Redshift or Google BigQuery, as well as certifications in these technologies, are valuable. Strong problem-solving abilities, attention to detail, and effective communication help you collaborate with stakeholders and address data challenges efficiently. These skills ensure the reliable integration, storage, and retrieval of high-quality data, which is critical for business intelligence and decision-making.
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Data Warehouse Engineer jobs near you
Senior Data Warehouse Engineer

Senior Data Warehouse Engineer

EchoStar

Englewood, CO • On-site

$96K - $137K/yr

Full-time

Medical, Retirement

Posted 17 days ago

EchoStar rating

6.9

Company rating: 6.9 out of 10

Based on 69 frontline employees who took The Breakroom Quiz

53rd of 76 rated telecommunications companies

Job 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.
Key Responsibilities:
  • Monitor and provide operational support for large enterprise data warehouse systems, resolving complex ETL job-related issues and ensuring data quality
  • Maintain and optimize scalable batch and streaming data pipelines and data lake solutions on the AWS cloud platform (S3, Glue, EC2, Redshift)
  • Lead incident management and root cause analysis meetings to develop operational metrics and drive continuous improvement of production systems
  • Collaborate with cross-functional Agile/Scrum teams (Data Scientists, Analysts, DevOps) to implement data transformation logic (ETL/ELT)
  • Manage CI/CD pipelines and Infrastructure-as-Code (IaC) 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 ensure the continuous reliability and performance of enterprise data systems

Skills, Experience and Requirements
Education and Experience:
  • Bachelor's degree in Computer Science or a related technical field
  • 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

Salary Ranges
Compensation: $96,250.00/Year - $137,500.00/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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