Data Engineer II, Amazon Health Science & Analytics

$118,900 - $205,600/Yr

Amazon - San Francisco, CA

Full-time - Mid Level

San Francisco, CA

10,001+ employees

Sporting Goods, Hobby, Musical Instrument, Book, and Miscellaneous Retailers

About the position

The Data Engineer II position at Amazon Health Science & Analytics involves designing and building reliable and performant data models and pipelines to provide actionable insights for cross-functional partners. The role requires a strong background in data engineering, particularly in data modeling, warehousing, and ETL pipeline construction, with a focus on utilizing modern data warehouse technologies such as Snowflake and Big Query. The successful candidate will collaborate with various teams to drive data-informed decision-making and ensure data quality across the organization.

Responsibilities

• Partner with teams across the company to develop flexible and scalable analytics for insights and decision-making.
• Design and build reliable, performant, and high-quality data models and pipelines.
• Build out suites of standard KPIs/metrics.
• Define how to model and warehouse data accessed by teams and analysts.
• Engage in code reviews to ensure maintainable code.
• Build data quality detection tools to identify and fix data issues.
• Ensure critical systems have up-to-date documentation.
• Participate in scheduled support rotation for maintaining and troubleshooting pipelines.
• Champion data-informed decision-making among internal stakeholders.
• Build and improve data tooling in partnership with data engineering and platform teams.

Requirements

• 3+ years of data engineering experience.
• Experience with data modeling, warehousing, and building ETL pipelines.
• Knowledge of modern data warehouse technologies (Snowflake, Big Query).
• Proficiency in SQL.
• Experience with AWS technologies (Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda).
• Experience with non-relational databases/data stores (object storage, document or key-value stores, graph databases, column-family databases).
• Proficiency in Python.
• Ability to communicate technical concepts to diverse audiences.

Nice-to-haves

• Healthcare industry experience.
• Knowledge of Apache Airflow.

Benefits

• Competitive salary based on market location and experience.
• Equity and sign-on payments as part of total compensation package.
• Full range of medical, financial, and other benefits.