Hiring: Staff Data Engineer, Enterprise Data Company: Rivian and Volkswagen Group Technologies Location: Palo Alto, CA Job Posted Time: 2026-09-10 11:57:09 Employment Type: Full-time Target Skills & Keywords : CI/CD, Databricks, ELT, Embedded Systems, Git, GitHub, GitLab, Infrastructure as Code, LLM, Python, RAG, React, SQL, Systems Design, Terraform, dbt About the job Experience: •8+ years of experience in Data or Software Engineering with expert-level SQL and Python skills, including advanced query design, performance tuning, data manipulation, and scalable automation. Strong system design and architecture expertise, with a proven ability to build efficient, maintainable, and scalable data systems. Required Skills: •Design and build trusted data products, establish architecture and engineering standards, and solve complex problems spanning ingestion, transformation, semantic modeling, governance, and AI-powered analytics. You will remain hands-on while setting the technical direction for initiatives that cross multiple business domains and systems. •This role requires more than building pipelines. You will work closely with senior leaders and domain experts to understand how the business operates, turn ambiguous questions into durable data products, and ensure that AI-generated insights remain accurate, explainable, secure, and grounded in certified enterprise data. •Have the opportunity to shape both the platform and the engineering culture behind one of RV Tech’s most visible internal data products. •Executive Analytics Applications: Architect and contribute to a unified, React-based executive analytics portal, transitioning the C-suite experience from fragmented dashboards to a centralized, application-driven environment with embedded analytics, AI-assisted insights, and trusted enterprise access. •Agentic AI & Context Engineering: Design and deploy conversational AI agents over enterprise data products by building metadata and semantic frameworks, implementing RAG pipelines and reasoning engines, and establishing guardrails that ensure safe, compliant, and context-aware AI interactions with certified data. •Cross-Functional Executive Partnership: Serve as the primary technical partner to senior leaders across Finance, People, Privacy, and Legal, translating strategic priorities into scalable data products, aligning diverse stakeholders, and influencing executive analytics strategy. •Strategic Engineering Leadership: Define and uphold end-to-end engineering standards across the Enterprise Insights domain, including scalable architecture, Infrastructure as Code (Terraform), CI/CD, version control best practices, operational SLAs, and a culture rooted in AI-native design, disciplined experimentation, and operational excellence. Qualifications: •Modern Analytics & Data Platform Engineering: Deep proficiency with dbt and modern cloud data platforms (Databricks preferred), including semantic layer modeling, business logic abstraction, and implementation of robust data quality, governance, and lineage frameworks. •AI & Intelligent Systems: Hands-on experience implementing GenAI systems, LLM agents, or RAG architectures, with strong knowledge of context engineering, reliability frameworks, guardrails, and evaluation methodologies for enterprise AI solutions. •Engineering Excellence & Collaboration: Expertise in collaborative software development practices, including testing frameworks, CI/CD pipelines, and version control (Git/GitLab/GitHub). Strong communication and cross-functional collaboration skills, with the ability to partner effectively across technical and non-technical stakeholders. •Leadership & Influence: Demonstrated ability to translate ambiguity into structured roadmaps, influence executive stakeholders, and lead or mentor engineers while fostering high standards of technical and operational excellence. Compensation: •$167,400 - $230,250 / year •Competitive benefits and rewards package •In addition to a competitive base salary, full-time positions may be is eligible to participate in our annual company performance bonus program Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!