Senior Data Engineer, AWS Data Platform

RXinsider LTD.; San Diego (CA); Hybrid; USD 117,000 - 194,000; Full time

Benefits offered by this job

Growth opportunities

Tuition reimbursement

Job summary

Dexcom is seeking a Staff Data Engineer to join the Commercial Data Science & Revenue Operations team. You will design and build data services that ingest from 12+ vendor sources, orchestrate transformations, 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, focusing on reliability, automation, and scalable infrastructure.

Qualifications

• Typically requires a Bachelors degree in a technical discipline with 8–12 years experience.
• Masters degree with 5–7 years experience or PhD with 2–4 years.
• Experience with AWS data services and data platforms is a plus.

Responsibilities

• Design and build data pipelines ingesting vendor data into S3 and Redshift.
• Own AWS-native workflows with Lambda, Glue, CDK, and Step Functions.
• Implement data quality assertions at pipeline boundaries.
• Build alerting systems and reliability playbooks.
• Model and evolve the data warehouse schema with dimensional modeling.
• Partner with Privacy, Security, IT on data governance requirements.
• Mentor team members through code reviews and documentation.

Skills

AWS

Python

SQL

Data pipelines

CI/CD

Observability

HIPAA knowledge

Stakeholder comms

Education

Bachelor's degree in a technical discipline

Master's degree or PhD considered

Tools

AWS CDK

AWS Glue

Redshift

S3

Lambda

Job description

Dexcom is seeking a Staff Data Engineer to join the Commercial Data Science & Revenue Operations team. You will design and build data services that ingest from 12+ vendor sources, orchestrate transformations, 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, focusing on reliability, automation, and scalable infrastructure.