Dexcom

Staff Data Engineer

San Diego, California

Live, first seen by us 85 days ago

Pay: $116,600–194,400/yearAnnual period assumed — pay source
Salary: $116,600.00 - $194,400.00 #DexcomUS
Read the full posting
Work setting: Not stated
Employment: Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

Before you apply

Eligibility: You must live within commuting distance of your assigned Dexcom site (typically 75 miles/120km). — eligibility source
Flex Workplace: 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).
Read the full posting

What you’ll work on

Full posting

Build pipelines that ingest vendor data from SFTP, APIs and files into S3 and Redshift
Build AWS workflows with Lambda, Glue, CDK and Step Functions
Implement data quality checks for completeness, freshness and accuracy
Build alerting systems and reliability playbooks for platform issues
Model and evolve the data warehouse schema with documented lineage

From the employer’s posting

Design and build data pipelines that ingest, transform, and deliver vendor data (SFTP, API, file-based sources) into S3 and Redshift

Own AWS-native development workflows leveraging Lambda, Glue, CDK, and Step Functions

Implement data quality assertion frameworks that validate completeness, freshness, and accuracy

Build alerting systems and reliability playbooks

Model and evolve the data warehouse schema

Education & alternatives

Experience and Education Requirements: - 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. Flex Workplace: 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).

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Posting record

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Status in our records: Live
First seen by us: Aug 11, 202685 days ago
Recorded sightings: 237
Last seen by us: Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

In line with similar jobs

$117K–$194K against $127K–$190K, the middle half of what similar US postings state.

From 2,133 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 85

Up longer than most. Similar jobs usually come down between day 6 and day 54.

From 10,805 similar postings that came down. Coming down is not always a hire.

Dexcom is hiring

9 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring at a steady pace
Takes jobs down at a usual pace

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

Python
SQL
AWS
Redshift
S3

Where the posting names them

- Data Platform: 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. - Engineering: 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. - Operational Excellence: Track record building observability infrastructure (logging, metrics, alerting) for data-intensive applications, with experience writing runbooks and incident response procedures.

- Cloud: Hands-on proficiency with AWS-native architectures (Lambda, Glue, S3, Redshift, Step Functions, CDK) with cost optimization awareness and ability to make build-vs-buy trade-off recommendations. Active AWS certification (Solutions Architect - Associate, Data Engineer - Associate, or equivalent) preferred. - Data Platform: 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. - Engineering: 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.

Meet the team: 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. You will own AWS-native development workflows using Lambda, Glue, CDK, Step Functions, and Redshift, with a focus on reliability, automation, and scalable infrastructure. The ideal candidate will partner with data scientists and business stakeholders to build the platform that powers commercial analytics and AI/ML initiatives. Where you come in:

- Design and build data pipelines that ingest, transform, and deliver vendor data (SFTP, API, file-based sources) into S3 and Redshift, with validation checks and automated error handling at each stage. - Own AWS-native development workflows leveraging Lambda, Glue, CDK, and Step Functions to create scalable, cost-aware data services that integrate cleanly 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 — data scientists, analysts, and commercial teams.

What makes you successful: - Cloud: Hands-on proficiency with AWS-native architectures (Lambda, Glue, S3, Redshift, Step Functions, CDK) with cost optimization awareness and ability to make build-vs-buy trade-off recommendations. Active AWS certification (Solutions Architect - Associate, Data Engineer - Associate, or equivalent) preferred. - Data Platform: 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.

Where you come in: - Design and build data pipelines that ingest, transform, and deliver vendor data (SFTP, API, file-based sources) into S3 and Redshift, with validation checks and automated error handling at each stage. - Own AWS-native development workflows leveraging Lambda, Glue, CDK, and Step Functions to create scalable, cost-aware data services that integrate cleanly with enterprise platforms and reduce manual operational overhead.

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About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025: $139,500
Expected change, 2025 to 2035: 9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

The Company

Dexcom Corporation (NASDAQ DXCM) is a pioneer and global leader in continuous glucose monitoring (CGM). Dexcom began as a small company with a big dream: To forever change how diabetes is managed. To unlock information and insights that drive better health outcomes. Here we are 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.

We are driven by thousands of ambitious, passionate people worldwide who are willing to fight like warriors to earn the trust of our customers by listening, serving with integrity, thinking big, and being dependable. We've already changed millions of lives and we're ready to change millions more. Our future ambition is to become a leading consumer health technology company while continuing to develop solutions for serious health conditions. We'll get there by constantly reinventing unique biosensing-technology experiences. Though we've come a long way from our small company days, our dreams are bigger than ever. The opportunity to improve health on a global scale stands before us.

Meet the team:

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. You will own AWS-native development workflows using Lambda, Glue, CDK, Step Functions, and Redshift, with a focus on reliability, automation, and scalable infrastructure. The ideal candidate will partner with data scientists and business stakeholders to build the platform that powers commercial analytics and AI/ML initiatives.

Where you come in:

Design and build data pipelines that ingest, transform, and deliver vendor data (SFTP, API, file-based sources) into S3 and Redshift, with validation checks and automated error handling at each stage.
Own AWS-native development workflows leveraging Lambda, Glue, CDK, and Step Functions to create scalable, cost-aware data services that integrate cleanly 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 — 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 impact downstream consumers, shortening mean time to detect/resolve.
Model and evolve the data warehouse schema, 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 your area and mentor team members through code reviews, pairing sessions, and documentation of reusable patterns and architectural decisions.

What makes you successful:

Cloud: Hands-on proficiency with AWS-native architectures (Lambda, Glue, S3, Redshift, Step Functions, CDK) with cost optimization awareness and ability to make build-vs-buy trade-off recommendations. Active AWS certification (Solutions Architect - Associate, Data Engineer - Associate, or equivalent) preferred.
Data Platform: 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.
Engineering: 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.
Operational Excellence: Track record building observability infrastructure (logging, metrics, alerting) for data-intensive applications, with experience writing runbooks and incident response procedures.
Industry: Familiarity with healthcare data compliance requirements (HIPAA, data use agreements, vendor data handling) or experience in similarly regulated, quality-driven settings.
Communication: Track record partnering with business leaders (director/VP level) to translate data capabilities into actionable strategies, with the ability to write executive-ready summaries.
Leadership: Experience elevating team capabilities through code reviews, documentation, and knowledge sharing, with a track record of improving team standards and onboarding practices.

What you’ll get:

A front row seat to life changing CGM technology. Learn about our brave #dexcomwarriors community.
A full and comprehensive benefits program.
Growth opportunities on a global scale.
Access to career development through in-house learning programs and/or qualified tuition reimbursement.
An exciting and innovative, industry-leading organization committed to our employees, customers, and the communities we serve.

Travel Required:

5-15%

Experience and Education Requirements:

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.

Flex Workplace: 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).

Please note: The information contained herein is not intended to be an all-inclusive list of the duties and responsibilities of the job, nor are they intended to be an all-inclusive list of the skills and abilities required to do the job. Management may, at its discretion, assign or reassign duties and responsibilities to this job at any time. The duties and responsibilities in this job description may be subject to change at any time due to reasonable accommodation or other reasons. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.

An Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability. Dexcom’s AAP may be viewed upon request by contacting Talent Acquisition at talentacquisition@dexcom.com.

If you are an individual with a disability and would like to request a reasonable accommodation as part of the employment selection process, please contact Dexcom Talent Acquisition at talentacquisition@dexcom.com.

Meritain, an Aetna Company, creates and publishes the Machine-Readable Files on behalf of Dexcom. To link to the Machine-Readable Files, please click on the URL provided: https://health1.meritain.com/app/public/#/one/insurerCode=MERITAIN_I&brandCode=MERITAINOVER/machine-readable-transparency-in-coverage?reportingEntityType=TPA_19874&lock=true

To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Dexcom. Only authorized staffing and recruiting agencies may use this site or to submit profiles, applications or resumes on specific requisitions. Dexcom does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to the Talent Acquisition team, Dexcom employees or any other company location. Dexcom is not responsible for any fees related to unsolicited resumes/applications.

AI in Hiring Notice: We may use AI supported tools to help make our hiring process more efficient, consistent, and accessible for candidates around the world. All hiring decisions are made by people.

Salary:

$116,600.00 - $194,400.00

#DexcomUS

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