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Amazon Data Warehouse Jobs (NOW HIRING)

CMMS Engineer

New Carlisle, IN · On-site

$93K - $117K/yr

... data warehouse, and SSAS/SSRS tools. - Working knowledge in EAM equipment hierarchy, object coding and naming convention. Amazon is an equal opportunity employer and does not discriminate on the ...

You will have the opportunity to work with a large and complex data warehouse to gather insights using data from across Amazon. These efforts will improve the ways in which we service our MFN sellers ...

Ex Amazon Data Engineer

Bellevue, WA · On-site

$129K - $155K/yr

Experience: 3+ years of data engineering experience, including data modeling, pipeline development, and data warehouse design, along with 3+ years of non-internship professional software development ...

Showing results 21-40

Amazon Data Warehouse information

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$25K

$125.9K

$171K

How much do amazon data warehouse jobs pay per year?

As of Sep 6, 2026, the average yearly pay for amazon data warehouse in the United States is $125,852.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,000.00 and $160,000.00 per year, depending on experience, location, and employer.

What is an Amazon Data Warehouse?

An Amazon Data Warehouse refers to a cloud-based storage system provided by Amazon Web Services (AWS) that is designed to store, manage, and analyze large volumes of structured and semi-structured data. The most popular solution is Amazon Redshift, which allows businesses to run complex queries and generate reports quickly. Data warehouses on AWS are scalable, cost-effective, and integrate with a wide range of data analytics tools, making them ideal for big data analytics and business intelligence operations.

What are the key skills and qualifications needed to thrive as an Amazon Data Warehouse professional?

To excel as an Amazon Data Warehouse professional, you need strong SQL skills, data modeling experience, and a solid understanding of cloud data warehousing concepts, often backed by a degree in computer science or a related field. Familiarity with Amazon Redshift, AWS services (such as S3 and Glue), ETL tools, and related certifications like AWS Certified Data Analytics are highly valuable. Analytical thinking, attention to detail, and effective communication are essential soft skills for translating business requirements into scalable data solutions. These capabilities ensure efficient data management, high-quality analytics, and seamless collaboration with stakeholders in a dynamic, cloud-based environment.

What are some common challenges faced by professionals working in Amazon Data Warehouse roles, and how can they be addressed?

Professionals in Amazon Data Warehouse roles often encounter challenges related to managing large-scale data integration, ensuring data quality, and optimizing query performance. Handling vast and diverse datasets requires efficient ETL (Extract, Transform, Load) pipelines and a solid understanding of AWS services like Redshift, S3, and Glue. Collaboration with data engineers, analysts, and stakeholders is essential to align data models with business requirements. Staying updated with the latest AWS features and best practices, along with continuous learning, can help address these challenges and contribute to successful project outcomes.

Does Amazon have a data warehouse?

Amazon offers a data warehouse service called Amazon Redshift, which is widely used for large-scale data analytics and business intelligence. As an Amazon Data Warehouse professional, familiarity with Redshift and cloud-based data management tools is essential for managing and optimizing data storage solutions.
More about Amazon Data Warehouse jobs

What cities are hiring for Amazon Data Warehouse jobs?

Cities with the most Amazon Data Warehouse job openings:

What states have the most Amazon Data Warehouse jobs?

States with the most job openings for Amazon Data Warehouse jobs include:

Infographic showing various Amazon Data Warehouse job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $125,852 per year, or $60.5 per hour.

Cloud Data Warehouse Engineer III

ModivCare Solutions, LLC

Denver, CO • On-site

$97.20 - $140/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago


Modivcare rating

6.6

Company rating: 6.6 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

572nd of 898 rated healthcare providers


Job description

Are you passionate about making a difference in people's lives? Do you enjoy working in a service-oriented industry? If so, this opportunity may be the right fit for you! Modivcare is looking for an experienced Cloud Engineer III to join our team, responsible for building scalable data pipelines, developing dimensional data models, and creating the transformation layer that powers reporting, self-service analytics, operational applications, and AI initiatives.

dbt Engineering & Data Transformation
  • Design, develop, and maintain dbt projects, models, macros, snapshots, tests, and reusable transformation frameworks.
  • Build and maintain enterprise data transformation pipelines using dbt Core and advanced SQL.
  • Develop reusable business logic and data models that support reporting, self-service analytics, operational applications, and AI initiatives.
  • Implement dbt best practices including modular design, testing, documentation, lineage tracking, and source control.
  • Optimize dbt models and transformation workloads for performance, scalability, and maintainability.
  • Support CI/CD deployment processes and automated testing for dbt projects.
  • Collaborate with business and technical teams to translate requirements into scalable and reusable transformation logic.
Data Modeling & Data Warehouse Development
  • Develop and maintain cloud data warehouse solutions using AWS services including Redshift, S3, Glue, Athena, Lambda, and Step Functions.
  • Design and maintain dimensional data models supporting reporting, self-service analytics, and operational data needs.
  • Build and maintain fact tables, dimensions, star schemas, snowflake schemas, and slowly changing dimensions (SCDs).
  • Develop curated data marts and trusted datasets for reporting, analytics, and downstream applications.
  • Partner with business and technical teams to translate requirements into scalable and reusable data models.
  • Optimize data structures and query performance for large-scale analytical workloads.
  • Follow established standards and best practices for data modeling, SQL development, and data warehouse design.
Data Engineering & Pipeline Development
  • Design, build, and maintain batch and near real-time data pipelines supporting enterprise data integration requirements.
  • Develop ELT/ETL workflows using AWS services, dbt, SQL, and Python.
  • Integrate data from operational systems, APIs, SaaS applications, healthcare platforms, and third-party data providers.
  • Support ingestion and transformation of structured, semi-structured, and unstructured data.
  • Optimize data processing workflows for scalability, reliability, and cost efficiency.
  • Troubleshoot and resolve data pipeline and data warehouse performance issues.
Collaboration & Delivery
  • Partner with application teams, business stakeholders, BI developers, and analytics teams to understand data requirements.
  • Deliver trusted and well-documented datasets that support reporting and self-service analytics.
  • Participate in Agile development processes including sprint planning, estimation, code reviews, testing, and release management.
  • Work effectively with remote and offshore teams to deliver data platform initiatives.
Qualifications
  • Bachelor's degree in Computer Science, Information Systems, Data Engineering, Software Engineering, or a related field (equivalent combination of education and experience will be considered).
  • Five (5) or more years of experience in data warehousing, cloud data engineering, or related data platform roles.
  • Experience designing and developing enterprise cloud data warehouse solutions.
  • Experience building enterprise ELT/ETL solutions and data integration pipelines.
  • Experience working with modern cloud data warehouse environments.
  • Experience supporting reporting, business intelligence, self-service analytics, and enterprise data platforms.
  • Experience working in healthcare or another regulated industry is preferred.
  • Strong hands‑on experience with dbt Core, including development of models, macros, snapshots, tests, documentation, lineage, and reusable transformation frameworks.
  • Advanced knowledge of SQL, including complex joins, window functions, common table expressions (CTEs), analytical transformations, query tuning, and performance optimization.
  • Knowledge of dimensional data modeling techniques, including fact tables, dimensions, star schemas, snowflake schemas, and slowly changing dimensions (SCDs).
  • Proficiency with Amazon Redshift and modern cloud data warehouse technologies.
  • Knowledge of AWS cloud services, including Redshift, S3, Glue, Lambda, Athena, and Step Functions.
  • Proficiency in Python for data engineering, automation, and scripting.
  • Knowledge of Git, CI/CD, and modern software development best practices.
  • Ability to design, develop, and optimize batch, micro‑batch, and near real‑time data pipelines.
  • Ability to build curated data marts and trusted datasets that support reporting, self-service analytics, and downstream applications.
  • Strong analytical, problem‑solving, communication, collaboration, and organizational skills.
  • Ability to work effectively in Agile environments and collaborate with remote and offshore teams.

Salary: $97,200.00 – $140,000.

The physical demands described are representative of those that must be met by an employee to successfully perform the essential functions of the position. Reasonable accommodations may be made to enable qualified individuals with disabilities to perform the essential functions of the job. Primarily seated work; extensive computer and telephone use; occasional standing, walking, reaching, bending, and lifting up to 10 lbs.

Modivcare offers a comprehensive benefits package to include the following: Medical, Dental, and Vision insurance; Employer Paid Basic Life Insurance and AD&D Voluntary Life Insurance (Employee/Spouse/Child); Health Care and Dependent Care Flexible Spending Accounts; Pre‑Tax and Post‑Tax Commuter and Parking Benefits; 401(k) Retirement Savings Plan with Company Match; Paid Time Off; Paid Parental Leave; Short‑Term and Long‑Term Disability; Tuition Reimbursement; Employee Discounts (retail, hotel, food, restaurants, car rental, and much more!).

Modivcare is an Equal Opportunity Employer. EEO is The Law – click here for more information. Equal Opportunity Employer Minorities/Women/Protected Veterans/Disabled. We consider all applicants for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, handicap or disability, or status as a Vietnam‑era or special disabled veteran in accordance with federal law.

If you need assistance, please reach out to us at hr.recruiting@modivcare.com. Due to system issues, if you are unable to search for your application, please reach out to the Talent Acquisition team via email at hr.recruiting@modivcare.com and a member of the Talent Acquisition team will reach out to you within the next 48 business hours.

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