Data Engineer II: Manufacturing Analytics & Cloud Pipelines

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.