Data Engineer, AWS Health & Safety

Amazon • Seattle, WA

1d

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. We are looking for an analytical and results-oriented data engineer to work directly with members of the Data Center Health and Safety (DCHS) teams, Data Center Operations (DCO), and the various AWS teams to focus on developing and implementing data engineering solutions. The AWS Health and Safety (H&S) team is an expanding a dynamic team that is critical to enabling AWS’s growth around the world, as well as ensuring compliance of AWS’s global operations, including physical data centers, as well as other AWS facilities, customer-facing enterprises and products. The H&S team has responsibility for architecting and implementing AWS’s global safety programs. This includes defining and implementing risk management and compliance systems and driving their continuous improvement; setting and refining global policies and procedures; overseeing the development of standards, tools, auditing and metrics, and employee training; ensuring effective engagement by H&S teams on global initiatives, including those that are part of Amazon’s ambitious sustainability goals; providing specialist expertise; and engaging with all AWS business units to provide scalable and H&S compliance strategies that support current and future business objectives while ensuring employee safety and compliance with H&S regulations.

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

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
• Number of Employees: 5,001-10,000 employees