Data Engineer II, Amazon Health Science & Analytics

Global technology company focused on e-commerce, cloud computing, digital streaming, and artificial intelligence.
$118,900 - $205,600
Data
Mid-Level Software Engineer
In-Person
5,000+ Employees
3+ years of experience
Healthcare · Enterprise SaaS

Description For Data Engineer II, Amazon Health Science & Analytics

Join Amazon's Health Science & Analytics team as a Data Engineer II, where you'll play a crucial role in improving customers' and members' health and well-being through data-driven solutions. This position offers an opportunity to work in a dynamic, data-centric organization focused on empowering business, clinical, and technology leaders at One Medical.

As a Data Engineer, you'll be responsible for designing and implementing reliable data models and pipelines that provide actionable insights across the organization. The role combines technical expertise in data engineering with business impact, requiring someone who can explore data to identify opportunities, solve complex problems, and drive results despite obstacles.

You'll work with modern data warehouse technologies, build ETL pipelines, and ensure data quality while collaborating with cross-functional teams including product management, operations, marketing, clinical effectiveness, and finance. The position offers competitive compensation ranging from $118,900 to $205,600 based on location and experience, plus comprehensive benefits.

This role is perfect for someone who enjoys structured thinking, effective communication, and has a passion for healthcare analytics. You'll be part of Amazon's larger mission to transform healthcare through technology and data-driven decisions. The position offers growth opportunities within a leading tech company while contributing to meaningful healthcare improvements.

Last updated a day ago

Responsibilities For Data Engineer II, Amazon Health Science & Analytics

  • Partner with cross-functional teams on developing flexible and scalable analytics
  • Design and build reliable data models and pipelines
  • Build out suites of standard KPIs/metrics
  • Define data modeling and warehousing standards
  • Engage in code reviews
  • Build data quality detection tools
  • Maintain documentation for critical systems
  • Participate in support rotation for pipeline maintenance
  • Champion data-informed decision making across organization
  • Build and improve data tooling with engineering teams

Requirements For Data Engineer II, Amazon Health Science & Analytics

Python
  • 3+ years of data engineering experience
  • Experience with data modeling, warehousing and building ETL pipelines
  • Knowledge of modern data warehouse (Snowflake, Big Query)
  • Proficiency in SQL
  • Ability to communicate technical concepts to diverse audiences

Benefits For Data Engineer II, Amazon Health Science & Analytics

Medical Insurance
  • Medical benefits
  • Financial benefits
  • Comprehensive benefits package

Interested in this job?

Jobs Related To Amazon Data Engineer II, Amazon Health Science & Analytics

Software Development Engineer, Open Data Analytics Fundamentals Team

AWS seeks Software Engineer for Open Data Analytics team to develop and manage cloud-based analytics products using distributed systems and big data technologies.

Data Engineer - II, Amazon Warehousing & Distribution

Data Engineer II position at Amazon Warehousing & Distribution, focusing on building and maintaining data infrastructure and analytics solutions.

Business Intelligence Engineer, Amazon MX Player

Lead data analytics for Amazon MX Player, India's largest free streaming service, building end-to-end BI solutions and driving business decisions.

Business Intel Engineer II, Operational Reporting & Analytics

Business Intelligence Engineer II role at Amazon Grocery, focusing on analytics product development and data-driven decision making.

Business Intelligence Engineer, Creators

Business Intelligence Engineer role at Amazon focused on creator analytics and insights, building tools and solutions to drive creator success and monetization.