Data Engineer Workplace Health and Safety

At Amazon the Leadership Principle Strive to be Earths Best Employer challenges us to create a safer more productive higher performing more diverse and more just work environment and reinforces that nothing is more important than the safety and wellbeing of our teams. At Workplace Health and Safety (WHS) 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 WHS 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 WHS Organization to drive workplace safety and regulatory compliance worldwide. This DE role will primarily support the data and infrastructure needs for the Environmental and Assurance Protection (EAP) team in the WHS Organization. This role drives the design and implementation of data solutions within the Workplace Health and Safety 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 selfservice 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.

Key job responsibilities
Architect and deliver enterprisescale 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 crossfunctional engineering teams
Drive data architecture decisions through comprehensive technical documentation and evidencebased recommendations to stakeholder teams
Streamline reporting workflows and implement automated solutions to enhance stakeholder selfservice 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


A day in the life
Amazon offers a full range of benefits that support you and eligible family members including domestic partners and their children. Benefits can vary by location the number of regularly scheduled hours you work length of employment and job status such as seasonal or temporary employment. The benefits that generally apply to regular fulltime employees include:
1. Medical Dental and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan

If you are not sure that every qualification on the list above describes you exactly wed still love to hear from you! At Amazon we value people with unique backgrounds experiences and skillsets. If youre passionate about this role and want to make an impact on a global scale please apply!


3 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 with distributed systems as it pertains to data storage and computing
Bachelors degree in Computer Science Engineering Mathematics or a related technical discipline

5 years of data engineering experience
Masters degree in computer science engineering analytics mathematics statistics IT or equivalent
Experience with AWS technologies like Redshift S3 AWS Glue EMR Kinesis FireHose Lambda and IAM roles and permissions
Experience with big data technologies such as: Hadoop Hive Spark EMR
Experience with nonrelational databases / data stores (object storage document or keyvalue stores graph databases columnfamily databases)
Experience building/operating highly available distributed systems of data extraction ingestion and processing of large data sets

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation protected veteran status disability age 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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118900/year in our lowest geographic market up to $205600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.