Senior Data Engineer, Crusoe Energy Systems

• The "Hybrid" Skill Set: You are an Engineer who thinks like a Consultant. You love writing clean Python/SQL code, but you are equally passionate about solving human-centric business problems
• Core Tech Stack Mastery:
• Warehouse: Deep experience managing data in Google Cloud Platform
• Visualization: Expert proficiency in Sigma or similar BI platforms. You know how to use input tables, workbook parameters, and materialized views to build interactive tools
• HR/Recruiting Systems: Hands-on experience with Ashby, Rippling, or similar. You understand their API nuances and schemas
• Semantic Architecture: Experience building semantic layers that create context based in business logic from raw data, ensuring consistency across all reporting
• AI/ML Curiosity: Experience or strong interest in applying AI/ML techniques (NLP, regression analysis, etc.) to people data. You want to use the tools Crusoe is empowering the world to build
• Communication: You can explain complex data architectures to non-technical stakeholders and act as a trusted advisor on data strategy

Desirable

• A Data Engineer is a builder, an innovator, and a trusted strategic partner
• You will sit at the intersection of data engineering, business consulting, and applied AI
• In this role, you will do more than just manage pipelines; you will architect and build the infrastructure powering the People Analytics team’s insights and product suite
• You will champion the use of practical AI and machine learning to modernize how we understand our workforce—from analyzing unstructured sentiment to predicting talent trends
• You will own the full stack—extracting data from HCM and ATS Systems like Rippling and Ashby, modeling it in Google Cloud Platform, and bringing it to life in self-service products—while partnering with leaders to design innovative workplace solutions that scale our culture
• Full-Stack Data Engineering: Build and maintain resilient ETL pipelines to centralize data from our core HCM and ATS systems into Google Cloud Platform, Big Query, and other people analytics products
• Semantic Modeling & Self-Service: Architect a robust semantic data layer (using dbt) that translates raw database schemas into business-friendly logic
• You will enable non-technical leaders to ask natural language questions and get accurate answers
• Applied AI & Predictive Analytics: Leverage AI and LLMs to unlock insights from unstructured data (e.g., engagement survey comments, interview feedback) and build predictive models for attrition and headcount planning
• Innovative Workplace Solutions: Go beyond dashboards to design data products that solve operational problems
• This could mean automating manual HR workflows, building custom apps for internal mobility, or using data to redesign our organizational structure
• Consultative Partnership: Partner proactively with Talent, Finance, and People leaders
• You will translate vague business anxieties into rigorous data questions, consulting on the "art of the possible" with modern analytics
• Visualization & Storytelling: Design and deploy high-impact Sigma workbooks that guide executives through complex narratives, ensuring data is not just viewed, but acted upon