Data Engineer II, Product BI

Amazon Inc.; Seattle, Northern (WA, KY); Hybrid; USD 132,000 - 179,000; Full time

Job summary

Amazon Development Center U.S., Inc. is seeking an experienced Data Engineer to help design and operate large-scale data structures and analytics pipelines in Seattle. This role focuses on building scalable data solutions and supporting BI analytics using ETL/ELT processes.

Candidates bring 5+ years in data engineering, SQL and Oracle experience, plus hands-on AWS tools like Redshift, S3 and Glue. The team emphasizes customer obsession, innovation and career growth within AWS.

Qualifications

• 5+ years of data engineering experience.
• 3+ years building ETL/ELT pipelines for BI analytics.
• 3+ years implementing OLAP data structures for BI.
• 3+ years data modeling for data warehouses.
• 3+ years SQL experience.
• Experience with Oracle database systems.
• Experience with data modeling, warehousing and ETL pipelines.

Skills

Data engineering

ETL/ELT pipelines

OLAP analytics

Data modeling

SQL

Oracle

Warehousing

Tools

AWS Redshift

S3

AWS Glue

EMR

Kinesis

FireHose

Lambda

IAM roles

Job description

Job ID: 10572785 | Amazon Development Center U.S., Inc.

We provide product innovations from foundational services such as Amazon Elastic Compute Cloud (EC2), Redshift Serverless, Containers (ECS, EKS) and other Streaming services to continuously release new product innovations/drive insights that continue to set AWS’s services and features apart in the industry. We are customer obsessed and focus on building innovation.

We build data products to simplify our customer's problems, bring operational and technical efficiency. We need to be able to build scalable solutions for ever growing data , be compliant and adopt to diverse business needs

About AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences.

Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Basic Qualifications

• 5+ years of data engineering experience
• 3+ years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes experience
• 3+ years of developing and operating large-scale data structures for business intelligence analytics using OLAP technologies experience
• 3+ years of developing and operating large-scale data structures for business intelligence analytics using data modeling experience
• 3+ years of developing and operating large-scale data structures for business intelligence analytics using SQL experience
• 3+ years of developing and operating large-scale data structures for business intelligence analytics using Oracle experience
• Experience with data modeling, warehousing and building ETL pipelines

Preferred Qualifications

• Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
• Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location.

USA, WA, Seattle - 132,100.00 - 178,800.00 USD annually