> Markdown version of [/jobs/ext/2540236-data-engineer-2](https://www.wearedevelopers.com/jobs/ext/2540236-data-engineer-2). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer 2 - **Company:** Dexcom, Inc. - **Location:** San Diego, CA, United States - **Salary:** $82,900.0 - $138,100.0 - **Contract:** Permanent contract - **Skills:** Agile Methodology, Airflow, Data Analysis, JIRA, Microsoft Basic Data Partition, BigQuery, Cloud Database, Cloud Engineering, Cloud Storage, Information Systems, Databases, Data Validation, Information Engineering, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Data Transformation, Data Systems, Software Debugging, Data Flow Control, IT Management, Object-Oriented Software Development, Scrum Methodology, Cloud Services, Standard Sql, Software Engineering, Statistical Process Control (SPC), SQL Databases, Google Cloud, Information Technology, Data Analytics, Software Version Control, Data Pipelines, Apache Beam - **Published:** August 9, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=385d04d37f76fdf9 ## About the Role * 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., 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. ## Description 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 discrepancies 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. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Improving quality with Agentic AI with Rovo Dev and Xray](https://www.wearedevelopers.com/videos/2005-improving-quality-with-agentic-ai-with-rovo-dev-and-xray) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [Making Data Warehouses fast. A developer's story.](https://www.wearedevelopers.com/videos/302-making-data-warehouses-fast-a-developer-s-story) - [Data Governance in the Era of AI](https://www.wearedevelopers.com/videos/1622-data-governance-in-the-era-of-ai) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [What’s the Difference between a Junior, Mid, and Senior Developer?](https://www.wearedevelopers.com/magazine/238-what-s-the-difference-between-a-junior-mid-and-senior-developer)