Data Engineer 2

Experteer Overview In this role you will maintain and enhance Dexcom’s data infrastructure powering manufacturing analytics and reporting. You’ll collaborate with cross-functional teams to translate operational needs into reliable data solutions and improve data quality. You will work with BigQuery, ETL/ELT workflows, and cloud services to deliver trusted insights that support manufacturing decisions. This is an opportunity to contribute to a mission-driven company reshaping health outcomes through data-driven decisions. Compensation / Benefits * Maintain and enhance data infrastructure, pipelines, and data models for Manufacturing Operations analytics and reporting * Write, debug, and optimize SQL queries (joins, aggregations, data validation) * Support data modeling and transformation in BigQuery using established standards * Assist with ETL/ELT pipeline development using Google Cloud Dataflow, Apache Beam, dbt, and related cloud services * Troubleshoot pipeline failures, data quality issues, and source-to-target discrepancies * Partner with stakeholders to gather requirements for datasets, dashboards, reports, and operational metrics * Document data sources, definitions, workflows, lineage, and pipeline logic to improve transparency * Participate in Agile practices (Jira, sprints, knowledge sharing) * Develop foundational cloud engineering skills with Google Cloud Storage, BigQuery, Cloud Composer, and GCP services * Begin cross-training in manufacturing, operations, and quality domains to understand data’s role in safety and cost outcomes Tasks * Bachelor in Computer Science / Data Engineering / Software Engineering / Information Systems / Engineering / Analytics, or equivalent practical experience * Foundational experience maintaining data pipelines, data workflows, databases, or analytics infrastructure * Proficient in basic SQL (joins, filtering, aggregations, troubleshooting) * Exposure to data modeling in cloud platforms such as BigQuery * Understanding of programming concepts and object-oriented principles * Fundamental understanding of cloud services, preferably Google Cloud Platform * Familiarity with ETL/ELT concepts and tools (Google Cloud Dataflow, Apache Beam, dbt) * Strong attention to detail and commitment to data accuracy, quality, and documentation * Ability to gather basic business requirements and clarify needs with guidance * Clear communication with technical and non-technical partners in a collaborative environment Key requirements * comprehensive benefits program * career development * in-house learning programs / tuition reimbursement * growth opportunities on a global scale

• issues, and source-to-target discrepancies * Partner with stakeholders to gather requirements for datasets, dashboards, reports, and operational metrics * Document data sources, definitions, workflows, lineage, and pipeline logic to improve transparency * Participate in Agile practices (Jira, sprints, knowledge sharing) * Develop foundational cloud engineering skills with Google Cloud Storage, BigQuery, Cloud Composer, and GCP services * Begin cross-training in manufacturing, operations, and quality domains to understand data’s role in safety and cost outcomes Tasks * Bachelor in Computer Science / Data Engineering / Software Engineering / Information Systems / Engineering / Analytics, or equivalent practical experience * Foundational experience maintaining data pipelines, data workflows, databases, or analytics infrastructure * Proficient in basic SQL (joins, filtering, aggregations, troubleshooting) * Exposure to data modeling in cloud platforms such as BigQuery * Understanding U _ programming concepts and object-oriented principles * Fundamental understanding of cloud services, preferably Google Cloud Platform * Familiarity with ETL/ELT concepts and tools (Google Cloud Dataflow, Apache Beam, dbt) * Strong attention to detail and commitment to data accuracy, quality, and documentation * Ability to gather basic business requirements and clarify needs with guidance * Clear communication with technical and non-technical partners in a collaborative environment Key requirements * comprehensive benefits program * career development * in-house learning programs / tuition reimbursement * growth opportunities on a global scale