Senior Data Engineer – Cloud & DevOps

**Only candidates local to SF Bay Area will be considered****No Third Parties. This is a Contract-to-Hire role and we're unable to sponsor at this time**RoleOur Data & Analytics organization is seeking a Senior Data Engineer with a strong DevOps foundation to support the modernization of its enterprise data platform. This role sits at the intersection of data engineering and cloud operations — you'll be designing and maintaining robust data pipelines, automating platform operations, and helping shape customer's evolving AI and agentic data strategy.What You'll DoDesign, build, and maintain scalable ETL/ELT pipelines across Customers' multi-source enterprise data environment (90+ data sources, 5,000+ table EDW)Architect and implement CI/CD frameworks for data platform deployments using Jenkins, GitLab CI, or Azure DevOpsBuild and maintain governed data lake architectures aligned to Medallion (Bronze/Silver/Gold) standardsDevelop Python/Bash automation libraries for data ingestion, transformation, and regression workflowsImplement telemetry and ETL pipelines for KPI tracking, operational dashboards, and reportingCollaborate cross-functionally with IT, analytics, and supply chain teams (Oracle Fusion, Kinaxis, Power BI ecosystem)Support cloud modernization efforts on AWS (primary) and AzureContribute to AI/agentic readiness initiatives — including LLM integration, RAG pipelines, and intelligent automation frameworksWhat You Bring8+ years of Data Engineering experience with strong DevOps/MLOps fluencyStrong understanding and experience with Medallion ArchitectureHands-on expertise with AWS (required) — S3, Glue, Lambda, Redshift, EMR or equivalentProficiency in Python, SQL, and Bash scriptingExperience with CI/CD tooling: Jenkins, GitLab CI, Azure DevOps, DockerSolid background in enterprise data modeling — 3NF, Dimensional, Data VaultFamiliarity with modern data platforms: Snowflake, Databricks, or Azure Data ExplorerExperience in high-volume, multi-source EDW environmentsKnowledge of DevSecOps practices and security-by-design principlesExposure to Generative AI, agentic workflows, or LLM integration strongly preferredExcellent communication skills; ability to work across technical and business stakeholder groupsNice to HaveExperience in manufacturing, supply chain, or semiconductor/hardware domainsFamiliarity with Oracle ERP data structures or TIBCO/EDI integrationPrior work on middleware transformation or integration platform modernization