Data Engineer, Whole Foods Market, E-commerce Analytics

Amazon; Austin (TX); On-site; USD 132,000 - 179,000; Full time

Benefits offered by this job

Health insurance

401(k)

Paid time off

Parental leave

RSUs

Job summary

Amazon is seeking a Data Engineer for Whole Foods Market's E-commerce Analytics. You will architect robust data infrastructures and build advanced pipelines to unlock our expansive data landscape.

You will collaborate with BI Engineers and Data Scientists to deliver data-driven insights, optimize AWS-based data infrastructure, and drive architectural decisions for scalable data flows and storage.

Qualifications

• 3+ years of data engineering experience
• Experience with data modeling, warehousing and building ETL pipelines

Responsibilities

• Help build the infrastructure that powers data-driven decision making using best practices in software engineering and data management
• Manage and optimize usage of AWS resources to support data infrastructure
• Collaborate with BI Engineers to establish data reporting, integrity, testing, validation and documentation
• Collaborate with Data Scientists to implement analytics, prediction and ML algorithms on data
• Drive architecture and technology decisions to enable a world-class user experience
• Develop knowledge of Amazon data sources to determine resources for each use case
• Propose data flow and storage solutions and advocate for next-gen data architectures
• Create extensible, maintainable designs aligned with business objectives

Skills

Data modeling

ETL pipelines

AWS (Redshift/S3)

Distributed systems

Non-relational databases

Cloud resources management

Tools

AWS Glue

EMR

Kinesis

Lambda

Redshift

S3

Job description

Data Engineer, Whole Foods Market, E-commerce Analytics

Job ID: 10454941 | Amazon.com Services LLC

We are seeking a Data Engineer to join the Product & E-commerce Analytics team supporting Whole Foods Market's (WFM) digital presence. In this position, you will be responsible for architecting robust data infrastructures and developing advanced data pipelines to unlock the full potential of our expansive data landscape.

Key job responsibilities

• Help build the infrastructure that powers data-driven decision making. Utilize software engineering best practices, data management fundamentals, data storage principles, and recent advances in distributed systems.
• Manage and optimize usage of cloud computing resources, particularly on AWS, to support data infrastructure.
• Collaborate with Business Intelligence Engineers to establish best practices for data reporting, analysis, integrity, testing, validation, and documentation.
• Collaborate with Data Scientists to implement advanced analytics algorithms that exploit our rich data sets for statistical analysis, prediction, clustering and machine learning.
• Drive the architecture and technology decisions that enable a world-class user experience.
• Develop in-depth knowledge of the Amazon's various data sources to determine the appropriate data resources for each use case.
• Encourage the organization to adopt next-generation data architecture strategies, proposing both data flows and storage solutions
• Thrive in an environment with a degree of ambiguity, quickly building proof of concepts, iterating, and improving data-driven solutions.
• Create extensible designs and easy to maintain solutions with the long term vision in mind.
• Have an understanding and empathy for business objectives, and continually align your work with those objectives and seek to deliver business value.

Basic Qualifications

• 3+ years of data engineering 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.

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. 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 .

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.

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. 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 .

USA, TX, AUSTIN - 132,100.00 - 178,800.00 USD annually

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

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