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Dexcom

Markets real-time CGM devices and analytics

Staff Data Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-timeSan Diego, CA, USA$116.6k - $194.4k

About the Job

Requirements

  • Hands-on proficiency with AWS-native architectures, including Lambda, Glue, S3, Redshift, Step Functions, and CDK, with cost optimization awareness and ability to make build-versus-buy trade-off recommendations.
  • Experience designing dimensional models and managing schema evolution in a growing data platform serving multiple stakeholder groups, with strong SQL skills including complex query optimization and debugging.
  • Proficiency in Python development in cloud environments, including CI/CD pipeline construction with GitHub Actions, Infrastructure as Code with AWS CDK, and common libraries for data processing and API integration.
  • Track record building observability infrastructure, including logging, metrics, and alerting, for data-intensive applications, with experience writing runbooks and incident response procedures.
  • Familiarity with healthcare data compliance requirements, including HIPAA, data use agreements, and vendor data handling, or experience in similarly regulated, quality-driven settings.
  • Track record partnering with business leaders at director/VP level to translate data capabilities into actionable strategies and write executive-ready summaries.
  • Experience elevating team capabilities through code reviews, documentation, and knowledge sharing, with a track record of improving team standards and onboarding practices.
  • Typically requires a Bachelor's degree in a technical discipline and a minimum of 8–12 years of related experience, or a Master's degree and 5–7 years of equivalent industry experience, or a PhD and 2–4 years of experience.

Responsibilities

  • Design and build data pipelines that ingest, transform, and deliver vendor data from SFTP, API, and file-based sources into S3 and Redshift, with validation checks and automated error handling at each stage.
  • Own AWS-native development workflows using Lambda, Glue, CDK, and Step Functions to create scalable, cost-aware data services that integrate with enterprise platforms and reduce manual operational overhead.
  • Implement data quality assertion frameworks that validate completeness, freshness, and accuracy at pipeline boundaries before data reaches downstream consumers, including data scientists, analysts, and commercial teams.
  • Build alerting systems and reliability playbooks that enable the team to detect and respond to data platform issues before they affect downstream consumers, shortening mean time to detect and resolve.
  • Model and evolve the data warehouse schema by designing dimensional models and orchestrating multi-source feeds into a unified analytical layer with documented lineage and managed schema evolution.
  • Partner with Privacy, Security, and IT on data governance requirements, translating policy requirements into technical implementations that keep the platform compliant without slowing engineering velocity.
  • Set technical direction for the area and mentor team members through code reviews, pairing sessions, and documentation of reusable patterns and architectural decisions.
  • Travel 5–15% as required.

Desired Qualifications

  • An active AWS certification, such as Solutions Architect – Associate, Data Engineer – Associate, or equivalent.

About the Company

Dexcom

Markets real-time CGM devices and analytics

Dexcom makes continuous glucose monitoring (CGM) systems to help people manage diabetes. Its core product, the Dexcom G6, uses a wearable sensor and transmitter to deliver real-time glucose readings to a display or smartphone without finger-prick calibrations. Dexcom differentiates itself with a full CGM ecosystem, including Dexcom CLARITY data analytics and subscription services for sharing data with clinicians and caregivers. The company's goal is to improve the quality of life for people with diabetes by providing accurate, easy-to-use glucose monitoring and actionable data.

Company size
5,001-10,000
Company stage
IPO
Headquarters
San Diego, CA
Founded
1999

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