ZipRecruiter

Log In

1

Amazon Data Warehouse Jobs (NOW HIRING)

Innovative Solutions

AI Data Architect

Rochester, NY · Remote

$65.25 - $84/hr

Configure data warehouse platforms -- Redshift with Zero-ETL from Aurora, Snowflake with Snowpipe ... Amazon SageMaker for ML training, Model Registry, and inference * AWS HealthLake, FHIR R4 ...

Amazon

Sr. BIE, Amazon Leo B2B

Bellevue, WA · On-site

$97.10K - $122.50K/yr

... database or data warehouse and scripting experience (Python) to process data for modeling ... Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran ...

Amazon

Data Engineer

Seattle, WA · On-site

$130.30K - $156.50K/yr

... Warehouse - Jarvis and build efficient, flexible, and scalable data warehouse and reporting ... Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We ...

Amazon

Data Engineer

Seattle, WA · On-site

$130.30K - $156.50K/yr

... Warehouse - Jarvis and build efficient, flexible, and scalable data warehouse and reporting ... Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud ...

Amazon

Data Engineer

Seattle, WA · On-site

$130.30K - $156.50K/yr

... Warehouse - Jarvis and build efficient, flexible, and scalable data warehouse and reporting ... Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We ...

Amazon

Data Engineer, Compensation, CPSA

Seattle, WA · On-site

Amazon Compensation Data team is looking for Data Engineer (DE) to join our team for modernizing data warehouses serving business intelligence, data science and AI customers globally. Your role will ...

BAE Systems

Data Eng Sr

Fort Walton Beach, FL · On-site

$79.37K - $134.93K/yr

Provide technical support for Amazon Redshift, including troubleshooting, performance optimization, and data modeling * Integrate AI/ML models with ETL pipelines and data warehouses to enable ...

Amazon

Data Engineer, OIS/CXI Analytics

Austin, TX · On-site

$113.50K - $136.30K/yr

Join the OIS/CXI Analytics team to build strategic data infrastructure powering Amazon's Operations ... warehousing and building ETL pipelines - Experience with AWS technologies like Redshift, S3, AWS ...

Right Skale, Inc.

Sr Data Engineer

Fremont, CA · On-site

$146.80K - $176.30K/yr

Experience with ETL/ELT tools like ADF, Informatica, Talend, etc., and data warehousing technologies like Azure Synapse, Azure SQL, Amazon Redshift, Snowflake, Google Big Query, etc. * Strong ...

Prophecy Technologies

Data Engineer (AWS-Python)

Malvern, PA · On-site

$112.40K - $134.90K/yr

Design and develop data warehouse applications using common standards and frameworks * Work with ... Amazon Web Service (AWS) Cloud Computing * Digital : NoSQL * Digital : PySpark Experience Range in ...

next page

Showing results 1-20

People also search for

All JobsAmazon Data Warehouse Jobs

Amazon Data Warehouse information

See salary details

$25K

$125.9K

$171K

How much do amazon data warehouse jobs pay per year?

As of May 31, 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, and why are they important?

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:
What job categories do people searching Amazon Data Warehouse jobs look for? The top searched job categories for Amazon Data Warehouse jobs are:
Amazon Data Warehouse jobs near you
AI Data Architect

AI Data Architect

Innovative Solutions

Rochester, NY • Remote

$65.25 - $84/hr

Full-time

Posted 21 days ago

Job description

As a Data/AI Architect, you'll design and build data-driven cloud architectures on AWS — from S3 data lakes and Glue ETL pipelines to data warehouses and RAG-powered AI systems. You'll own the full data stack across a variety of industries and projects: one engagement you're designing a Redshift data warehouse with medallion architecture processing 31M transactions/month, the next you're building a Bedrock Knowledge Base with OpenSearch vector search. Real ownership, real variety.

What You'll Do:

  • Design and build S3 data lakes with multi-zone organization, partitioning strategies, lifecycle policies, and encryption
  • Implement medallion architecture (bronze/silver/gold) for data warehouses on Redshift, Snowflake, or Databricks
  • Build AWS Glue ETL pipelines (Python Shell and Spark) with incremental extraction, Data Catalog management, and optimized Parquet output
  • Design star/snowflake schemas, materialized views, and gold-layer models optimized for BI consumption (QuickSight, PowerBI)
  • Configure data warehouse platforms — Redshift with Zero-ETL from Aurora, Snowflake with Snowpipe, Databricks with Delta Lake and Auto Loader
  • Design RAG systems using Bedrock Knowledge Base with OpenSearch Serverless vector search and Titan Embeddings
  • Architect document AI pipelines using Textract, Comprehend, and Bedrock for entity extraction
  • Design SageMaker ML pipelines for training, Model Registry, and inference
  • Lead data discovery sessions with client stakeholders and present architecture recommendations to technical and business audiences
  • Mentor delivery team members on data architecture patterns and AWS data services
  • Contribute to R&D projects evaluating emerging AWS data and AI capabilities
 

Required Skills:

  • 5+ years professional IT experience, 2+ years professional AWS experience
  • At least one AWS Professional-level certification (Solutions Architect Professional or Data Engineer Specialty preferred)
  • Python for data pipelines (Glue jobs, Lambda, SageMaker scripts) and PySpark for Glue Spark jobs
  • SQL and NoSQL on AWS — Aurora PostgreSQL, RDS PostgreSQL, DocumentDB, DynamoDB — including schema design and query optimization
  • Data modeling — conceptual, logical, and physical models for AWS data platforms; normalized silver-layer schemas, denormalized star/snowflake gold-layer schemas, data dictionaries
  • Dimensional modeling and medallion architecture (bronze/silver/gold) on Redshift, Snowflake, or Databricks, including materialized views and incremental refresh patterns
  • AWS Glue ETL (Python Shell and Spark), Glue Data Catalog, and crawlers
  • S3 data lake architecture with partitioning, lifecycle policies, and encryptions
 

Preferred:

  • RAG systems with Bedrock Knowledge Base and OpenSearch Serverless vector search
  • Amazon SageMaker for ML training, Model Registry, and inference
  • AWS HealthLake, FHIR R4 transformation, and HIPAA-compliant data pipelines
  • Document AI with Amazon Textract and Comprehend
  • Amazon Athena, QuickSight, or PowerBI integration
  • Terraform or CloudFormation for data infrastructure as code
  • Step Functions, EventBridge, and Lambda for event-driven pipeline orchestration

The salary range provided is a general guideline. When extending an offer, Innovative considers factors including, but not limited to, the responsibilities of the specific role, market conditions, geographic location, as well as the candidate’s professional experience, key skills, and education/training.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.