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Data Engineer, Workplace Health and Safety

Amazon is one of the world's largest technology companies focused on e-commerce, cloud computing, digital streaming, and artificial intelligence.
$91,200 - $185,000
Data
Mid-Level Software Engineer
In-Person
5,000+ Employees
2+ years of experience
Enterprise SaaS · Healthcare

Job Description

At Amazon's Workplace Health and Safety (WHS) organization, we are dedicated to creating Earth's Best Employer by ensuring the safety and well-being of our teams. The WHS Data team is seeking a Data Engineer to join our mission-critical efforts in driving workplace safety and regulatory compliance worldwide. This role is integral to designing and implementing sophisticated data solutions using advanced AWS technologies and big data platforms.

As a Data Engineer, you'll be at the forefront of solving complex data warehousing challenges through automated ETL processes and optimized model deployments. You'll work directly with stakeholders to translate business requirements into actionable solutions while maintaining high standards of data governance. The position offers an opportunity to impact safety initiatives on a global scale through data-driven solutions.

The role combines technical expertise in data engineering with a meaningful purpose - helping ensure the safety of Amazon's workforce. You'll be responsible for architecting enterprise-scale data infrastructure, building complex ETL pipelines, and enabling self-service analytics capabilities. This position offers competitive compensation ranging from $91,200 to $185,000 based on location and experience, plus comprehensive benefits including medical coverage and 401(k).

The ideal candidate brings 2+ years of data engineering experience, strong SQL and Python skills, and a passion for using data to drive real-world impact. You'll join a team that values innovation, technical excellence, and most importantly, the safety and well-being of Amazon's employees worldwide. This is an opportunity to apply your data engineering expertise to create safer workplaces while working with cutting-edge AWS technologies and big data solutions.

Last updated a month ago

Responsibilities For Data Engineer, Workplace Health and Safety

  • Architect and deliver enterprise-scale data infrastructure solutions
  • Build and orchestrate complex ETL processes across diverse data sources
  • Drive data architecture decisions through comprehensive technical documentation
  • Streamline reporting workflows and implement automated solutions
  • Lead strategic initiatives with BI and technology partners
  • Learn and influence adoption of latest AWS technologies

Requirements For Data Engineer, Workplace Health and Safety

Python
  • 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

Benefits For Data Engineer, Workplace Health and Safety

Medical Insurance
Dental Insurance
Vision Insurance
401k
Parental Leave
  • Medical, Dental, and Vision Coverage
  • Maternity and Parental Leave Options
  • Paid Time Off (PTO)
  • 401(k) Plan