data-quality-monitoring jobs in San Diego

Lead data engineering and governance initiatives for enterprise clients, architecting AI-integrated data fabric solutions on cloud platforms like Snowflake, Databricks, and Azure Synapse. Design and deliver ETL/ELT pipelines, data integration strategies, streaming architectures, and metadata governance frameworks.…See more Requires 5+ years in data architecture, enterprise data engineering, or AI platform delivery, with hands-on expertise in cloud data platforms, data modeling, API/streaming design, and enterprise system integration (especially Salesforce). Contribute thought leadership and drive client engagements around enterprise data strategy and AI-ready platforms.

Senior Data Engineer role owning end-to-end data architecture for a medical device startup preparing for FDA submission. Responsibilities span defining instrumentation specs and data models upstream, designing and maintaining transformation pipelines on Google Cloud and BigQuery, implementing warehouse schemas with regulatory traceability, building EDC and device data integrations, and producing CDISC-compliant datasets (SDTM/ADaM) for clinical submissions.…See more Requires 7+ years of production data systems experience, strong Python and SQL, cloud platform expertise, and the ability to translate clinical, regulatory, and operational requirements into data infrastructure.

Principal Engineer leading the design, build, and operation of a Microsoft Fabric–based unified data platform (UDP) serving 50+ enterprise source systems across R&D, Commercial, Manufacturing, and Supply Chain. You will architect production-grade data ingestion pipelines, mentor data and analytics engineers, enforce engineering standards and SLAs, manage external implementation partners, and build the semantic layer and governance controls.…See more The role requires 10+ years of data engineering and platform architecture experience, 2+ years of technical leadership in a lakehouse environment, and deep hands-on expertise in Microsoft Fabric (lakehouses, Data Factory, deployment pipelines), PySpark, T-SQL, Python, medallion-architecture design, CI/CD, and data governance tooling—with biopharmaceutical or regulated-industry GxP experience strongly preferred.

Principal Engineer leading the design, build, and operation of an enterprise data platform serving 50+ source systems across R&D, Commercial, Manufacturing, and other business functions. The role combines hands-on data engineering (PySpark, T-SQL, Python, Data Factory, medallion architecture) with technical leadership of data engineers, vendor management, platform standards enforcement, and cross-functional stakeholder partnership.…See more Responsibilities span CI/CD pipeline design, data quality and reliability instrumentation, semantic layer development, data governance implementation, and delivery of new source-system integrations at scale.

Design, build, and maintain scalable batch and streaming data pipelines on AWS and Databricks, developing reusable data engineering frameworks and standardized patterns for ingestion, transformation, and validation. Leverage AI-based techniques to automate data quality checks, anomaly detection, and pipeline self-healing.…See more Define SLIs/SLOs, participate in on-call rotations, and mentor junior engineers while driving adoption of data frameworks and best practices across analytics, reporting, and AI/ML teams.