Data Engineer III, Workforce Solutions

Are you a data engineer who thrives on solving ambiguous, high-impact problems at scale? Do you enjoy building data solutions that teams across an organization rely on every day? If so, this role offers the chance to own critical data architecture and infrastructure at Amazon, where your work will directly shape how teams access, trust, and act on data.

As a Data Engineer III, you will design and deliver scalable data pipelines, models, and platforms that power analytical insights and business decisions. You will take a system-wide view of your team's data architecture, anticipate access patterns, remove bottlenecks, and set the standard for engineering excellence. This is a technical leadership position where you will balance short-term delivery with long-term architectural vision, mentor fellow engineers, and collaborate across teams to ensure data is auditable, available, and accessible.

Key job responsibilities

• Own your team's data architecture with a system-wide perspective, anticipating data access patterns, proactively removing bottlenecks, and ensuring data is auditable, available, and accessible across the organization.
• Design, build, and maintain scalable ETL workflows and data pipelines that are secure, maintainable, and extensible, enabling others to easily contribute to and build upon your solutions.
• Drive data engineering best practices including data discovery, naming conventions, operational excellence, data security, and performance tuning across your team and related teams.
• Evaluate when and how to integrate generative AI tools and AWS services into data solutions, refining outputs and applying responsible practices to improve productivity and quality.
• Mentor and coach data engineers in your organization, contributing to their professional development and strengthening the team's overall technical capabilities.

A day in the life You might start your morning reviewing pipeline health dashboards and resolving a data quality issue flagged overnight. By mid-morning, you are leading a design review for a new data model, probing assumptions and guiding architectural decisions. After lunch, you pair with a teammate to optimize a slow-running query, then join a cross-team discussion to align on a shared data contract. Later, you prototype a generative AI integration that could automate a manual data validation step, wrapping up the day by documenting your approach for the broader engineering team.

About the team Workforce Solutions (WS) empowers our customers by providing integrated, people-focused solutions that streamline hiring processes for WW Stores, AWS, Devices, and Talent Acquisition. As stewards of the employee lifecycle and experience, we drive initiatives that promote transparency and efficiency in career mobility, workforce engagement, and operational needs management. We prioritize customer-centricity by tailoring our capabilities and processes to align with their preferences and behaviors. Our approach is to start with the customer's needs and match individuals to the right opportunities through our services. Basic qualifications

• 5+ years of data engineering experience
• Experience with data modeling, warehousing and building ETL pipelines
• Experience with SQL
• Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
• Experience mentoring team members on best practices Preferred qualifications
• Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
• Experience operating large data warehouses
• Knowledge of distributed systems as it pertains to data storage and computing

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, WA, Bellevue - 154,600.00 - 209,100.00 USD annually USA, WA, Seattle - 154,600.00 - 209,100.00 USD annually