Data Engineer, AWS Health & Safety

Amazon • Seattle, WA

2d

About The Position

At Amazon, the Leadership Principle “Strive to be Earth’s Best Employer”
challenges us to create a safer, more productive, and higher performing
environment, and reinforces that nothing is more important than the safety and
well-being of our teams. At AWS Health and Safety (AWS H&S) we strive to do just
this. We work tirelessly to ensure we have the appropriate strategy, technology,
and attitude to be successful. We also understand that people are at the center
of safety and look to invest in talent that shares in our passion for making our
employees and partners lives better.

The AWS H&S Data team is hiring a Data Engineer (DE). The Data team spans the
Business Intelligence (BI) and Data Engineering (DE) functional areas, and is
responsible for providing all reporting solutions required by the AWS H&S
Organization to drive workplace safety and regulatory compliance worldwide. This
role drives the design and implementation of data solutions within the AWS H&S
domain, leveraging advanced AWS technologies and big data platforms to deliver
scalable data architecture components. The position focuses on solving complex
data warehousing challenges through automated ETL processes, optimized model
deployments, and robust analytics tools that enable self-service capabilities.
Working directly with stakeholders and technical partners, this role translates
business requirements into actionable solutions while maintaining high standards
of data governance and system performance. The role also champions innovation by
evaluating emerging technologies, implementing best practices, and continuously
enhancing the data infrastructure to meet evolving business needs.

Requirements

• 3+ years of data engineering experience
• 1+ years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes experience
• 1+ years of developing and operating large-scale data structures for business intelligence analytics using data modeling experience
• 1+ years of developing and operating large-scale data structures for business intelligence analytics using SQL experience
• Bachelor's degree

Nice To Haves

• 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)
• Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets
• Experience providing technical leadership and mentoring other engineers for best practices on data engineering

Responsibilities

• Architect and deliver enterprise-scale data infrastructure solutions, enabling robust dataset management and advanced business intelligence capabilities
• Build and orchestrate complex ETL processes across diverse data sources using SQL and AWS technologies, collaborating with cross-functional engineering teams
• Drive data architecture decisions through comprehensive technical documentation and evidence-based recommendations to stakeholder teams
• Streamline reporting workflows and implement automated solutions to enhance stakeholder self-service capabilities and operational efficiency
• Lead strategic initiatives with BI and technology partners to optimize data pipelines, improve data accessibility, and enhance infrastructure performance
• Learn and influence adoption of latest AWS technologies to expand platform capabilities and drive operational excellence
• Travel up to 25%

Benefits

• 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
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level