Data Engineer 2

Socket.dev

San Diego (CA)

On-site

USD 83,000 - 138,000

Full time

12 days ago

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Job summary

Dexcom is seeking a Data Engineer II to maintain and enhance data infrastructure powering manufacturing analytics and reporting. You will work with SQL, data modeling, and cloud data platforms to deliver reliable data solutions that support operational decision-making across the organization.

The role emphasizes collaboration with stakeholders, documentation, and ongoing learning in Dexcom manufacturing, operations, and quality domains, with opportunities for growth and cross-training in a

Qualifications

  • ,Bachelor's degree in a technical discipline or equivalent practical experience.
  • 2–5 years of related experience, or 0–2 with a Master’s degree.
  • Foundational experience maintaining data pipelines and analytics infrastructure.
  • Proficient in basic SQL with joins, filtering, and aggregations.
  • Exposure to data modeling on cloud platforms such as BigQuery.
  • Understanding of programming concepts and OOP.
  • Familiar with ETL/ELT concepts and tools like Dataflow, Beam, dbt.
  • Attention to data accuracy, quality, and documentation.

Responsibilities

  • Maintain and enhance data infrastructure, pipelines, and data models for Manufacturing Operations analytics.
  • Write, debug, and optimize SQL queries with joins, aggregations, and data validation logic.
  • Support data modeling and data transformation in BigQuery.
  • Assist with ETL and ELT pipeline development using Google Cloud Dataflow, Apache Beam, dbt, and related services.
  • Troubleshoot pipeline failures and data quality issues.
  • Collaborate with business stakeholders to gather and clarify requirements for datasets and dashboards.
  • Document data sources, data definitions, workflows, lineage, and pipeline logic.

Skills

SQL queries
Data pipelines
Data modeling
Cloud platforms (GCP)
ETL/ELT tools (Dataflow, Beam, dbt)
Documentation
Requirements gathering
Communication

Education

Bachelor's degree in Computer Science / related technical field

Tools

Google Cloud Dataflow
Apache Beam
dbt
BigQuery
Cloud Composer
Jira

Job description

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

At Dexcom, our patients’ satisfaction is at the heart of everything we do. We strive to enable people to take control of their health—an enrichment of life that also extends to our patients’ friends, families, and significant others. The Operations Intelligence team partners across Manufacturing Operations, Engineering, Quality, Supply Chain, R&D, and Enterprise IT to build trusted data products, scalable pipelines, and analytics capabilities that support operational decision-making across Dexcom.

This Data Engineer II role will help maintain and improve the data infrastructure that powers manufacturing analytics, reporting, and operational insights. The ideal candidate is a hands-on, detail-oriented data professional who enjoys solving practical business problems, learning modern cloud data engineering practices, and partnering with stakeholders to translate operational needs into reliable data solutions.

Where you come in
  • You will maintain and enhance existing data infrastructure, pipelines, and data models that support Manufacturing Operations analytics and reporting.
  • You will write, debug, and optimize basic to intermediate SQL queries, including joins, aggregations, and data validation logic.
  • You will support data modeling and data transformation activities in BigQuery using established standards and guidance from senior team members.
  • You will assist with ETL and ELT pipeline development using tools such as Google Cloud Dataflow, Apache Beam, dbt, and related cloud data services.
  • You will help troubleshoot pipeline failures, data quality issues, and source-to-target disparities to ensure reliable delivery of trusted data.
  • You will partner with business stakeholders to gather and clarify requirements for datasets, dashboards, reports, and operational metrics.
  • You will support documentation of data sources, data definitions, workflows, lineage, and pipeline logic to improve transparency and sustainability.
  • You will participate in Agile delivery practices, including Jira-based task management, sprint planning, status updates, and knowledge sharing.
  • You will develop foundational cloud engineering skills, including use of Google Cloud Storage, BigQuery, Cloud Composer, and core GCP services.
  • You will begin cross‑training in Dexcom manufacturing, operations, and quality domains to better understand how data supports safety, quality, delivery, and cost outcomes.
What makes you successful
  • You have a bachelor’s degree in Computer Science, Data Engineering, Software Engineering, Information Systems, Engineering, Analytics, or a related technical discipline, or equivalent practical experience.
  • You have foundational experience maintaining data pipelines, data workflows, databases, or analytics infrastructure.
  • You are proficient in basic SQL, including joins, filtering, aggregations, and query troubleshooting.
  • You have exposure to data modeling concepts and can support basic data model development in cloud data platforms such as BigQuery.
  • You understand fundamental programming concepts, debugging practices, and object‑oriented programming principles.
  • You have a basic understanding of cloud services, preferably Google Cloud Platform.
  • You are familiar with ETL or ELT concepts and have exposure to tools such as Google Cloud Dataflow, Apache Beam, dbt, or similar technologies.
  • You demonstrate strong attention to detail and a commitment to data accuracy, quality, and documentation.
  • You can independently gather basic business requirements and clarify stakeholder needs with guidance.
  • You communicate clearly with technical and non‑technical partners and are comfortable working in a collaborative, cross‑functional environment.
Preferred qualifications
  • Exposure to Google Cloud Storage, BigQuery, Cloud Composer, or other GCP data services.
  • Interest in working toward Google Associate Cloud Engineer or related cloud certification.
  • Familiarity with Jira, Agile software development practices, or ticket‑based delivery workflows.
  • Experience supporting manufacturing, operations, engineering, supply chain, quality, or regulated industry data.
  • Exposure to descriptive statistics, data validation, SPC concepts, or operational KPI reporting.
  • Familiarity with source control, documentation practices, and data governance concepts.
  • Interest in developing deeper skills in data engineering, pipeline orchestration, data quality, and analytics enablement.
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.
Experience and education guidelines

Typically requires a bachelor’s degree in a technical discipline and a minimum of 2–5 years of related experience, or a master’s degree and 0–2 years of related experience. The final experience and education requirements should align to the approved Global Career Framework level and job code when the requisition is created.

Travel required

0–5%

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.

Salary:

$82,900.00 - $138,100.00

#DexcomUS

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