FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Staff Data Engineer, Enterprise Data
Rivian and Volkswagen Group Technologies. Design and implement scalable ELT pipelines and semantic models using dbt, SQL, and Python on Databricks .
Posted 9/17/2026full-timePalo Alto • California • United StatesLead💰 $167,400 - $230,250 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and implementing scalable ELT pipelines and semantic models using dbt, SQL, and Python on Databricks, while ensuring data quality and governance. Proficient in architecting interactive analytics solutions and deploying AI-driven data products that support executive decision-making.
Highest-signal resume keywords
Expert-Level SQL SkillsExpert-Level Python SkillsDeep Proficiency with dbtExperience with DatabricksProduction-Grade Application Development
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
SQLPythonDbtData QualitySemantic Layer ModelingGenAI SystemsRAG ArchitecturesStreamlitReactCI/CD
Soft Skills
Strong CommunicationCross-Functional CollaborationData StorytellingMentoring
Tools & Technologies
DatabricksTableauQlikPower BIHexGitGitLabGitHubTerraformOperational SLAs
Industry Keywords
Data EngineeringSoftware EngineeringData GovernanceData TransformationAI Solutions
Tech Stack
Tools & technologiesCloudPythonReactSQLTableauTerraform
About the role
Key responsibilities & impact- Design and implement scalable ELT pipelines and semantic models using dbt, SQL, and Python on Databricks
- Own the end-to-end data lifecycle, including ingestion, transformation, governance, certification, semantic modeling, data quality, observability, and lineage
- Deliver enterprise-grade certified datasets that power executive decision-making
- Architect and contribute to a unified React-based executive analytics portal with embedded analytics and AI-assisted insights
- Design and deploy conversational AI agents over enterprise data products
- Build metadata and semantic frameworks, RAG pipelines, reasoning engines, and guardrails for safe, compliant, context-aware AI interactions
- Partner with senior leaders across Finance, People, Privacy, and Legal
- Translate strategic priorities into scalable data products and influence executive analytics strategy
- Define and uphold engineering standards, including scalable architecture, Terraform, CI/CD, version control, operational SLAs, AI-native design, experimentation, and operational excellence
- Remain hands-on while setting technical direction for initiatives spanning multiple business domains and systems
Requirements
What you’ll need- 8+ years of experience in Data or Software Engineering
- Expert-level SQL and Python skills, including advanced query design, performance tuning, data manipulation, and scalable automation
- Strong system design and architecture expertise
- Deep proficiency with dbt and modern cloud data platforms; Databricks preferred
- Experience with semantic layer modeling, business logic abstraction, data quality, governance, and lineage frameworks
- Hands-on experience implementing GenAI systems, LLM agents, or RAG architectures
- Knowledge of context engineering, reliability frameworks, guardrails, and evaluation methodologies for enterprise AI solutions
- Production-grade interactive application development using Streamlit or React
- Mastery of at least one major BI tool: Tableau, Qlik, Power BI, or Hex
- Strong data storytelling and visualization skills
- Expertise in testing frameworks, CI/CD pipelines, and Git/GitLab/GitHub
- Strong communication and cross-functional collaboration skills
- Ability to translate ambiguity into structured roadmaps, influence executive stakeholders, and lead or mentor engineers
- B.S. or M.S. in Computer Science, Engineering, Mathematics, or a related field
Benefits
Comp & perks- Annual company performance bonus program; annual bonus target of 15%
- Equity in the form of Restricted Stock Units (RSUs)
- Health coverage
- Retirement savings
- Time off
- Family planning programs
- Comprehensive benefits package for full-time employees