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Amazon Data Warehouse Jobs (NOW HIRING)

The Data Warehouse Developer-Analyst will be supporting a new area of analysis involving User ... Amazon RDS and RedShift, and/or Google BigQuery 7. Experience with relational database design ...

Data Warehouse Developer

Dallas, TX · On-site

$45.25 - $62/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The American Heart Association has an excellent opportunity for a Data Warehouse Developer ! This ... Experience with Amazon Web Services: S3, Glue, SageMaker, Lake Formation, Lambda, Athena, RedShift ...

Mine large-scale data from across Amazon's data warehouse to generate actionable insights on shipping economics, seller behavior, and program adoption that inform business strategy. Collaborate ...

Data Engineer II , GTMO DATA

Seattle, WA · On-site

$130K - $156K/yr

... Amazon Business team, you will be working in one of the world's largest cloud-based data lakes You should be skilled in the architecture of Enterprise data warehouse solutions using multiple ...

Mine large-scale data from across Amazon's data warehouse to generate actionable insights on shipping economics, seller behavior, and program adoption that inform business strategy. Collaborate ...

Data Engineer II , GTMO DATA

Seattle, WA · On-site

$130K - $156K/yr

... Amazon Business team, you will be working in one of the world's largest cloud-based data lakes You should be skilled in the architecture of Enterprise data warehouse solutions using multiple ...

CMMS Engineer

Sparks, NV · On-site

$104K - $131K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... 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 ...

Finance Manager, US 3P Finance

Seattle, WA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

Data Engineer II , GTMO DATA

Seattle, WA · On-site

$130K - $156K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Amazon Business team, you will be working in one of the world's largest cloud-based data lakes. You should be skilled in the architecture of Enterprise data warehouse solutions using multiple ...

Amazon Redshift is the world's most popular fully managed cloud data warehouse. Tens of thousands of enterprise customers use Redshift to crunch through exabytes of data in the cloud to make business ...

Amazon Redshift is the world's most popular fully managed cloud data warehouse. Tens of thousands of enterprise customers use Redshift to crunch through exabytes of data in the cloud to make business ...

Data Engineer I, Sales Data Services (SDS)

New York, NY · On-site

$125K - $150K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We are a big-data focused engineering team that provides unique, pan-Amazon datasets consolidating advertiser, seller, and vendor KPIs, exposed via data warehousing , fast APIs and agentic soutions.

Data Engineer I, Sales Data Services (SDS)

New York, NY · On-site

$125K - $150K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We are a big-data focused engineering team that provides unique, pan-Amazon datasets consolidating advertiser, seller, and vendor KPIs, exposed via data warehousing , fast APIs and agentic soutions.

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 Aug 13, 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 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.

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.
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, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $125,852 per year, or $60.5 per hour.

DATA WAREHOUSE DEVELOPER/ANALYST

KG Tiger

Natick, MA • On-site

Full-time

Re-posted 24 days ago


Job description

Company Description

ABOUT THE COMPANY: 

It is an $800 million Company and the leading developer of mathematical computing software. They have over 3000 employees in the world. They has over 90 products well known in the market and these are primarily used in various industries like automotive, aerospace and defense, biotech, semiconductor, etc. It is a US based company headquartered in Natick, MA. In India they have branches in Bangalore, Delhi and Pune.

ABOUT KGiSL: 

KGiSL Group of Companies is a part of KG group, which is a 500 million USD premier industrial group in South India, with 70+ years of multi-vertical focus on textile, engineering, healthcare, finance, IT & ITES services, infrastructure and education. It is a CMM Level-4 company.

Job Description

The Data Warehouse Developer-Analyst will be supporting a new area of analysis involving User Experience data with our products. Through the new Marts supporting analysis of this data, the incumbent would be responsible for making important contributions to the company's product features and refinement. This role performs the complete Mart lifecycle, including data profiling, design and development, debugging/testing, and support and enhancements, and will work closely with our Product Development team and with the rest of the Data Warehouse team within the company's IT 


Responsibilities:     

 He or She will:

Profile and understand the large amounts of source data available, including structured and semi-structured/web activity data

Work with data originators to fill in gaps in the data collected, and/or to adjust source-system data structures to facilitate analysis and integration with other company data

Gather reporting and analysis requirements and translate into reporting structures data models, including aggregate tables, pivoted tables, and relational and dimensional (star-schema) marts

Use data mining techniques to analyze the source data and determine the best reporting structures to build

Map sources to the target design using a variety of tools, including Business Objects Data Services/BODI. Design and develop ETL code to load and transform the source data from various formats (including key-value pair and variable-structure data) into a SQL database.

Conduct ETL performance tuning, troubleshooting, support, and capacity estimation

Conduct thorough testing of ETL code changes to ensure quality of data produced

Provide day-to-day support and mentoring to end users who are interacting with the data

Qualifications

 The incumbent should possess excellent verbal and written communication along with the ability to work in a fast-paced, flexible environment, and take the initiative to learn new tools quickly

 Must Have:

1. Bachelor's degree in Engineering with three (3) years of professional work experience, or a Master's degree in Engineering 

2. Expertise with data warehouse

3. Expert-level ETL development using tools such as Informatica PowerCenter or SAP Data Services

4. Expert-level SQL coding/querying skills in SQL Server and/or MySQL

5. Experience with Business Intelligence tools such as Crystal, Business Objects, Microsoft SSRS, or Oracle OBIEE

6. Exposure to Amazon RDS and RedShift, and/or Google BigQuery

7. Experience with relational database design/modeling using tools such as ERstudio or ERwin 

 **Desired**

1. Exposure to dealing with unstructured or semi-structured data

2. Exposure to dealing with the challenges of large relational data sets, including load performance, query performance, archiving, etc.

3. Experience with big-data technologies such as Hadoop/Hive, MongoDb, or other NoSQL-based data stores

4. Exposure to one or more of these tools: MATLAB, Python, SAS, SPSS

Additional Information

Interested candidates may submit resume to sean.s at kggroup.com (or) Call 888-738-5815 (x1375)