Hiring: Staff Data Engineer Company: Dexcom Location: San Diego, CA Job Posted Time: 2026-09-11 11:14:47 Target Skills & Keywords : AWS, CDK, CI/CD, Data Pipeline, Data Warehouse, GitHub Actions, HIPAA, Infrastructure as Code, Lambda, Python, Redshift, S3, SQL, Step Functions About the job Experience: •25 years later, having pioneered an industry. And we're just getting started. We are broadening our vision beyond diabetes to empower people to take control of health. That means personalized, actionable insights aimed at solving important health challenges. To continue what we've started: Improving human health. Required Skills: •As part of the Commercial Data Science & Revenue Operations team, you will join a data engineering group responsible for building and operating Dexcom’s commercial data platform on AWS. •As a Staff Data Engineer, you will design and build data services that ingest from 12+ vendor sources, orchestrate transformation pipelines, and deliver analytics-ready datasets to data scientists, analysts, and 300+ field representatives. •Own AWS-native development workflows using Lambda, Glue, CDK, Step Functions, and Redshift, with a focus on reliability, automation, and scalable infrastructure. Qualifications: •Typically requires a Bachelors degree in a technical discipline, and a minimum of 8-12 years related experience or Master’s degree and 5-7 years equivalent industry experience or a PhD and 2-4 years of experience. •Your primary location will be a home office. You will not have an assigned workstation and will work with your manager to determine office visit needs. You must live within commuting distance of your assigned Dexcom site (typically 75 miles/120km). •8-12 years related experience or Master’s degree and 5-7 years equivalent industry experience or a PhD and 2-4 years of experience. •12 years related experience or Master’s degree and 5-7 years equivalent industry experience or a PhD and 2-4 years of experience. Compensation: •Competitive benefits and rewards package Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!