Senior Data Engineer
On-site · Sunnyvale, California, United States
Job Summary
Senior Data Engineer to design, build, and scale data pipelines powering APIs for AI-enabled initiatives in the Endoluminal business unit. Responsibilities include implementing scalable batch/streaming data pipelines, building curated datasets for downstream APIs, enforcing data quality and observability standards, data transformation and modeling, onboarding new data sources, applying data governance (privacy, lineage, access controls), optimizing storage/processing for performance and cost, and documenting data models and pipelines. Requires strong SQL and Python, data modeling experience (warehouse/lakehouse/hybrid architectures), familiarity with Parquet/Iceberg/Delta, Spark/Flink, Databricks, data quality/observability tools, and cloud platforms (AWS or GCP). Preferred experience in medical devices or regulated environments; may require vaccination proof per role. Equal opportunity employer.
Required Qualifications
- Bachelor's or Master’s degree in computer science or related field
- Minimum of 5 years relevant experience in data engineering
- Strong proficiency in SQL and Python
- Experience with data modeling (warehouse, lakehouse, or hybrid architectures)
- Familiarity with data formats and table technologies (Parquet, Iceberg, Delta, etc.)
- Strong experience with data engineering frameworks (e.g., Spark, Flink)
- Experience with managed platforms such as Databricks
- Knowledge of data quality, lineage, and observability tools
- Experience with cloud data platforms (AWS or GCP)
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