Senior Data Engineer, People Analytics

Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster.

We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI.

We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services.

If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe.

About the Role:

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

What You'll Be Working On:

• 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.

What You'll Bring to the Team:

• 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

Bonus Skills:

• Experience deploying or working with People Analytics SaaS platforms

• Experience with Sigma.

Benefits:

• Competitive compensation

• Restricted Stock Units

• Paid time off & paid holidays

• Comprehensive health, dental & vision insurance

• Employer contributions to HSA account

• Paid parental leave

• Paid life insurance, short-term and long-term disability

• Professional development & tuition reimbursement

• Mental health & wellness support

• Commuter benefits (parking & transit)

• Cell phone stipend

• 401(k) Retirement plan with company match up to 4% of salary

• Volunteer time off

Compensation Range

Compensation will be paid in the range of up to $165,000 -$200,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicants knowledge, education, and abilities, as well as internal equity and alignment with market data.

Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.