Senior Data Engineer

Job Title: Senior Data Engineer Location: - Palo Alto California 94304 Duration: - 6+ months with possible extension About the Team & the Role • The Core Data team builds and scales a best‑in‑class data platform and analytics capabilities that power decision‑making across R|V Tech. Within Core Data, the Operational Insights team focuses on production environments: we turn rich operational and quality signals into trusted data products and metrics that help improve business processes and performance. • As a Sr. Data Engineer, you will help build and operate the data foundation that powers analytics across programs and sites. You will design and maintain scalable ingestion pipelines, develop well-modeled datasets, and ensure data quality and reliability across critical systems. • This role sits at the intersection of operational systems, modern data platform engineering, and analytics enablement, helping convert raw operational signals into governed, high-value datasets that power analytics applications, core metrics, and future AI-driven insights. What You’ll Do • Design, build, and operate data ingestion pipelines from operational, quality, test, and service systems into Databricks using Fivetran/AWS/Databricks and standardized ELT patterns. • Develop and maintain dbt models for operational, quality, and ramp metrics, following our standard patterns for analytics. • Set up and maintain data quality checks, audits, and monitoring for freshness, completeness, and contract compliance across key pipelines. • Optimize Databricks jobs, Fivetran connectors, and dbt runs for performance, cost, and reliability, including orchestration, alerting, and runbooks. • Collaborate with analytics engineers and product teams to turn models into high‑value data products powering analytics applications. • Contribute to the semantic layer and catalog so GenAI agents and self‑service tools can reliably discover and query operational data. • Drive improvements in upstream systems and schemas to reduce data issues at the source. Qualifications: • Required • 6+ years of experience in Data Engineering, Analytics Engineering, or Software Engineering working with production data systems. • Strong expertise in SQL and Python for building scalable data pipelines and transformations. • Hands-on experience building ELT pipelines using modern cloud data platforms (Databricks strongly preferred). • Deep experience with dbt, including model development, testing, documentation, and CI/CD integration. • Experience with managed ingestion tools such as Fivetran, Airbyte, or similar. • Experience designing and operating production-grade data pipelines with monitoring and observability. • Strong collaboration skills and ability to partner with engineering teams, analysts, and operational stakeholders. • Bachelor’s or master’s degree in computer science, Engineering, Mathematics, or related field, or equivalent practical experience. Nice-to-Have Skills: • Experience working with manufacturing, MES, quality, or operational data. • Familiarity with Five Tran connector management and ingestion architecture. • Experience with data contracts and schema governance. • Experience building semantic layers or governed analytical datasets. • Exposure to modern analytics tools (Hex, Tableau, Power BI, or similar). • Experience enabling AI or advanced analytics use cases on top of operational data. • Knowledge of streaming or near-real-time data pipelines.