Amazon
Data Engineer, Workplace Health and Safety
Join to apply for the
Data Engineer, Workplace Health and Safety
role at
Amazon Data Engineer, Workplace Health and Safety
Join to apply for the
Data Engineer, Workplace Health and Safety
role at
Amazon Description
At Amazon, the Leadership Principle “Strive to be Earth’s 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 well-being 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. Description
At Amazon, the Leadership Principle “Strive to be Earth’s 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 well-being 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 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 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.
Key job 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
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, full-time employees include:
Medical, Dental, and Vision Coverage Maternity and Parental Leave Options Paid Time Off (PTO) 401(k) Plan
If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!
Basic Qualifications
2+ years of data engineering experience Experience with data modeling, warehousing and building ETL pipelines Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala) Experience with one or more scripting language (e.g., Python, KornShell) Bachelor's degree in a quantitative/technical field such as computer science, engineering, statistics
Preferred Qualifications
Experience with big data technologies such as: Hadoop, Hive, Spark, EMR Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $91,200/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on 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 https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
Company
- Amazon.com Services LLC
Job ID: A3054620 Seniority level
Seniority level Not Applicable Employment type
Employment type Full-time Job function
Job function Information Technology Industries Software Development Referrals increase your chances of interviewing at Amazon by 2x Sign in to set job alerts for “Data Engineer” roles.
Seattle, WA $70,000.00-$150,000.00 1 week ago Seattle, WA $118,900.00-$205,600.00 1 week ago Bellevue, WA $118,900.00-$205,600.00 1 week ago Bellevue, WA $118,900.00-$205,600.00 4 days ago Bellevue, WA $118,900.00-$205,600.00 1 week ago Bellevue, WA $91,200.00-$185,000.00 1 week ago Seattle, WA $118,900.00-$205,600.00 4 days ago Kirkland, WA $141,000.00-$202,000.00 2 weeks ago Redmond, WA $122,500.00-$145,000.00 2 weeks ago Seattle, WA $177,688.00-$341,734.00 1 week ago Seattle, WA $139,100.00-$240,500.00 1 week ago Bellevue, WA $145,000.00-$204,000.00 1 week ago Redmond, WA $145,000.00-$204,000.00 1 week ago Bellevue, WA $139,100.00-$240,500.00 2 days ago Data Engineer, P2 Science, Data, and Insights
Seattle, WA $118,900.00-$205,600.00 1 week ago Bellevue, WA $173,000.00-$242,000.00 1 week ago Seattle, WA $145,000.00-$204,000.00 1 week ago Redmond, WA $140,900.00-$253,600.00 1 week ago Seattle, WA $173,000.00-$242,000.00 1 week ago Software Engineer - AI/ML, Multiple Locations
Redmond, WA $84,200.00-$180,400.00 6 days ago Seattle, WA $112,725.00-$177,840.00 1 week ago Seattle, WA $180,000.00-$260,000.00 1 week ago Data Engineer, Amazon Prime Video Data, Analytics, Insight and Excellence Team
Seattle, WA $118,900.00-$205,600.00 5 days ago Redmond, WA $84,200.00-$180,400.00 4 days ago Greater Seattle Area $60,000.00-$75,000.00 2 days ago Bellevue, WA $118,900.00-$205,600.00 2 weeks ago Seattle, WA $118,900.00-$205,600.00 2 weeks ago Seattle, WA $170,000.00-$220,000.00 2 months ago Data Engineer - Snowflake and Databricks
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Join to apply for the
Data Engineer, Workplace Health and Safety
role at
Amazon Data Engineer, Workplace Health and Safety
Join to apply for the
Data Engineer, Workplace Health and Safety
role at
Amazon Description
At Amazon, the Leadership Principle “Strive to be Earth’s 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 well-being 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. Description
At Amazon, the Leadership Principle “Strive to be Earth’s 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 well-being 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 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 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.
Key job 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
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, full-time employees include:
Medical, Dental, and Vision Coverage Maternity and Parental Leave Options Paid Time Off (PTO) 401(k) Plan
If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!
Basic Qualifications
2+ years of data engineering experience Experience with data modeling, warehousing and building ETL pipelines Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala) Experience with one or more scripting language (e.g., Python, KornShell) Bachelor's degree in a quantitative/technical field such as computer science, engineering, statistics
Preferred Qualifications
Experience with big data technologies such as: Hadoop, Hive, Spark, EMR Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $91,200/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on 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 https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
Company
- Amazon.com Services LLC
Job ID: A3054620 Seniority level
Seniority level Not Applicable Employment type
Employment type Full-time Job function
Job function Information Technology Industries Software Development Referrals increase your chances of interviewing at Amazon by 2x Sign in to set job alerts for “Data Engineer” roles.
Seattle, WA $70,000.00-$150,000.00 1 week ago Seattle, WA $118,900.00-$205,600.00 1 week ago Bellevue, WA $118,900.00-$205,600.00 1 week ago Bellevue, WA $118,900.00-$205,600.00 4 days ago Bellevue, WA $118,900.00-$205,600.00 1 week ago Bellevue, WA $91,200.00-$185,000.00 1 week ago Seattle, WA $118,900.00-$205,600.00 4 days ago Kirkland, WA $141,000.00-$202,000.00 2 weeks ago Redmond, WA $122,500.00-$145,000.00 2 weeks ago Seattle, WA $177,688.00-$341,734.00 1 week ago Seattle, WA $139,100.00-$240,500.00 1 week ago Bellevue, WA $145,000.00-$204,000.00 1 week ago Redmond, WA $145,000.00-$204,000.00 1 week ago Bellevue, WA $139,100.00-$240,500.00 2 days ago Data Engineer, P2 Science, Data, and Insights
Seattle, WA $118,900.00-$205,600.00 1 week ago Bellevue, WA $173,000.00-$242,000.00 1 week ago Seattle, WA $145,000.00-$204,000.00 1 week ago Redmond, WA $140,900.00-$253,600.00 1 week ago Seattle, WA $173,000.00-$242,000.00 1 week ago Software Engineer - AI/ML, Multiple Locations
Redmond, WA $84,200.00-$180,400.00 6 days ago Seattle, WA $112,725.00-$177,840.00 1 week ago Seattle, WA $180,000.00-$260,000.00 1 week ago Data Engineer, Amazon Prime Video Data, Analytics, Insight and Excellence Team
Seattle, WA $118,900.00-$205,600.00 5 days ago Redmond, WA $84,200.00-$180,400.00 4 days ago Greater Seattle Area $60,000.00-$75,000.00 2 days ago Bellevue, WA $118,900.00-$205,600.00 2 weeks ago Seattle, WA $118,900.00-$205,600.00 2 weeks ago Seattle, WA $170,000.00-$220,000.00 2 months ago Data Engineer - Snowflake and Databricks
We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
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