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Senior Data Engineer, People Analytics Careers at Crusoe - Denver, Colorado | Apply Now!

Crusoe

Senior Data Engineer, People Analytics Careers at Crusoe - Denver, Colorado | Apply Now!

full-timePosted: Jan 27, 2026

Job Description

Senior Data Engineer, People Analytics - Crusoe Energy Systems

Role Overview

As a Senior Data Engineer within Crusoe's People Analytics team, you'll be at the forefront of transforming how we understand and manage our workforce. This role is not just about building data pipelines; it's about architecting the infrastructure that empowers data-driven decision-making across the organization. You will leverage your expertise in data engineering, business consulting, and applied AI to modernize our approach to talent management, workforce planning, and organizational design.

You will own the full stack, from extracting data from HCM and ATS systems like Rippling and Ashby to modeling it in Google Cloud Platform (GCP) and bringing it to life in self-service products. You'll partner with leaders in Talent, Finance, and People Operations to design innovative workplace solutions that scale our culture and drive business outcomes.

A Day in the Life

Here’s what a typical day might look like:

  • Morning: Reviewing the performance of existing ETL pipelines, troubleshooting any issues, and optimizing data flow.
  • Mid-day: Meeting with Talent Acquisition to understand their challenges in predicting hiring needs and brainstorming potential data-driven solutions.
  • Afternoon: Working on building a semantic layer using dbt to make data more accessible to non-technical users.
  • Late Afternoon: Designing a Sigma workbook to visualize key attrition trends and present findings to the executive team.
  • Evening: Researching the latest advancements in AI and LLMs to identify opportunities for enhancing our people analytics capabilities.

Why Denver, Colorado?

Denver is a vibrant and growing city that offers a unique blend of urban amenities and outdoor recreation. As a hub for technology and innovation, Denver provides a supportive ecosystem for data professionals. The city boasts a thriving job market, a high quality of life, and easy access to the Rocky Mountains.

Crusoe's Denver office is located in the heart of the city, providing easy access to restaurants, entertainment, and cultural attractions. The office features a modern and collaborative workspace designed to foster creativity and innovation.

Career Path

This Senior Data Engineer role offers a clear path for career advancement within Crusoe. You could progress to a Lead Data Engineer role, where you would be responsible for leading a team of engineers and setting the technical direction for the People Analytics team. Alternatively, you could transition into a Data Architect role, where you would focus on designing and implementing the overall data strategy for the organization.

Crusoe is committed to providing employees with opportunities for professional development and growth. We offer a variety of training programs and mentorship opportunities to help you advance your career.

Salary & Benefits

The estimated salary range for this role is $140,000 to $190,000 per year. Crusoe offers a comprehensive benefits package, including:

  • Medical, dental, and vision insurance
  • Paid time off and holidays
  • 401(k) retirement plan with company match
  • Professional development opportunities
  • Flexible work arrangements

Crusoe Culture

At Crusoe, we are driven by a mission to accelerate the abundance of energy and intelligence. We foster a culture of innovation, collaboration, and sustainability. We are committed to creating a workplace where everyone feels valued, respected, and empowered to contribute their best work.

We believe in the power of data to drive positive change. We are passionate about using our technology to solve some of the world's most pressing challenges.

How to Apply

If you are a passionate and experienced Data Engineer looking for an opportunity to make a real impact, we encourage you to apply. Please submit your resume and cover letter through our online application portal.

FAQ

  1. What is Crusoe's mission?

    Crusoe's mission is to accelerate the abundance of energy and intelligence.

  2. What is the role of a Data Engineer at Crusoe?

    A Data Engineer at Crusoe is a builder, an innovator, and a trusted strategic partner. They sit at the intersection of data engineering, business consulting, and applied AI.

  3. What technologies will I be working with?

    You will be working with Google Cloud Platform, BigQuery, dbt, Sigma, Python, SQL, Ashby, and Rippling, among others.

  4. What is the work environment like at Crusoe?

    Crusoe fosters a collaborative, innovative, and supportive work environment.

  5. What are the opportunities for career growth?

    There are opportunities to advance to Lead Data Engineer, Data Architect, or other leadership roles within the company.

  6. Does Crusoe offer relocation assistance?

    Relocation assistance is assessed on a case-by-case basis.

  7. What is Crusoe doing to be sustainable?

    Crusoe is focused on solutions that reduce flaring, use stranded energy resources and enable carbon capture.

  8. What are some of the benefits of working for Crusoe?

    Crusoe offers competitive compensation, health benefits, PTO, 401K, and more!

  9. What is the interview process like?

    The interview process involves phone screens, technical interviews, and team interviews.

  10. Where is the position based?

    This position is based out of our Denver, Colorado office.

Locations

  • Denver, Colorado, United States

Salary

Estimated Salary Rangemedium confidence

154,000 - 209,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Data Engineeringintermediate
  • ETL Pipelinesintermediate
  • Google Cloud Platform (GCP)intermediate
  • BigQueryintermediate
  • Semantic Modelingintermediate
  • dbtintermediate
  • AIintermediate
  • LLMsintermediate
  • Predictive Analyticsintermediate
  • Sigmaintermediate
  • BI Platformsintermediate
  • Pythonintermediate
  • SQLintermediate
  • Ashbyintermediate
  • Ripplingintermediate
  • HCM Systemsintermediate
  • ATS Systemsintermediate
  • Data Visualizationintermediate
  • Storytellingintermediate
  • Consultingintermediate
  • Workplace Solutionsintermediate
  • HR Automationintermediate
  • Data Architectureintermediate
  • Machine Learningintermediate
  • Cloud Computingintermediate

Required Qualifications

  • Bachelor's or Master's degree in a relevant field (e.g., Computer Science, Data Science, Engineering) (experience)
  • 5+ years of experience in Data Engineering or a related role (experience)
  • Proficiency in Python and SQL programming (experience)
  • Experience with Google Cloud Platform (GCP) data warehousing solutions, particularly BigQuery (experience)
  • Hands-on experience with ETL pipeline development and management (experience)
  • Strong understanding of semantic data modeling principles (experience)
  • Experience with dbt or similar data transformation tools (experience)
  • Experience with AI and machine learning techniques for data analysis and prediction (experience)
  • Familiarity with HR and recruiting systems like Ashby and Rippling (experience)
  • Expertise in data visualization and storytelling using Sigma or similar BI platforms (experience)
  • Excellent communication and consulting skills (experience)
  • Proven ability to translate business needs into data-driven solutions (experience)
  • Experience building and maintaining complex data pipelines (experience)
  • Strong problem-solving skills and attention to detail (experience)
  • Ability to work independently and as part of a team (experience)

Responsibilities

  • Build and maintain resilient ETL pipelines to centralize data from HCM and ATS systems (e.g., Rippling, Ashby) into Google Cloud Platform (GCP) and BigQuery.
  • Architect a robust semantic data layer using dbt to translate raw database schemas into business-friendly logic, enabling self-service 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.
  • Design and deploy innovative data products that solve operational problems, such as automating manual HR workflows, building custom apps for internal mobility, or redesigning organizational structures.
  • Partner proactively with Talent, Finance, and People leaders to translate business anxieties into rigorous data questions and consult on the possibilities of modern analytics.
  • Design and deploy high-impact Sigma workbooks that guide executives through complex narratives, ensuring data is not just viewed, but acted upon.
  • Manage and optimize data infrastructure within GCP to ensure scalability, reliability, and performance.
  • Collaborate with data scientists and other engineers to develop and deploy machine learning models.
  • Ensure data quality and consistency across all data pipelines and products.
  • Implement data governance policies and procedures to maintain data security and compliance.
  • Stay up-to-date with the latest trends and technologies in data engineering and analytics.
  • Mentor and guide junior data engineers on best practices and methodologies.
  • Contribute to the development of data engineering standards and guidelines.
  • Participate in code reviews and ensure code quality.
  • Troubleshoot and resolve data-related issues in a timely manner.

Benefits

  • general: Competitive salary and benefits package
  • general: Medical, dental, and vision insurance
  • general: Paid time off and holidays
  • general: 401(k) retirement plan with company match
  • general: Professional development opportunities
  • general: Opportunity to work on cutting-edge technology and innovative projects
  • general: Collaborative and supportive work environment
  • general: Opportunity to make a significant impact on the company's success
  • general: Flexible work arrangements
  • general: Employee assistance program
  • general: Wellness programs
  • general: Life insurance
  • general: Disability insurance
  • general: Equity options
  • general: Commuting assistance

Target Your Resume for "Senior Data Engineer, People Analytics Careers at Crusoe - Denver, Colorado | Apply Now!" , Crusoe

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Tags & Categories

Data EngineeringPeople AnalyticsGCPAIDenverColoradoData EngineerCrusoe Energy SystemsGoogle Cloud PlatformBigQuerydbtSigmaETL PipelinesSemantic ModelingLLMsPredictive AnalyticsHR SystemsAshbyRipplingData VisualizationSQLPythonData ArchitectureMachine LearningTalent AnalyticsWorkforce PlanningGreen TechAI InfrastructureCloudEngineering

Answer 10 quick questions to check your fit for Senior Data Engineer, People Analytics Careers at Crusoe - Denver, Colorado | Apply Now! @ Crusoe.

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Crusoe logo

Senior Data Engineer, People Analytics Careers at Crusoe - Denver, Colorado | Apply Now!

Crusoe

Senior Data Engineer, People Analytics Careers at Crusoe - Denver, Colorado | Apply Now!

full-timePosted: Jan 27, 2026

Job Description

Senior Data Engineer, People Analytics - Crusoe Energy Systems

Role Overview

As a Senior Data Engineer within Crusoe's People Analytics team, you'll be at the forefront of transforming how we understand and manage our workforce. This role is not just about building data pipelines; it's about architecting the infrastructure that empowers data-driven decision-making across the organization. You will leverage your expertise in data engineering, business consulting, and applied AI to modernize our approach to talent management, workforce planning, and organizational design.

You will own the full stack, from extracting data from HCM and ATS systems like Rippling and Ashby to modeling it in Google Cloud Platform (GCP) and bringing it to life in self-service products. You'll partner with leaders in Talent, Finance, and People Operations to design innovative workplace solutions that scale our culture and drive business outcomes.

A Day in the Life

Here’s what a typical day might look like:

  • Morning: Reviewing the performance of existing ETL pipelines, troubleshooting any issues, and optimizing data flow.
  • Mid-day: Meeting with Talent Acquisition to understand their challenges in predicting hiring needs and brainstorming potential data-driven solutions.
  • Afternoon: Working on building a semantic layer using dbt to make data more accessible to non-technical users.
  • Late Afternoon: Designing a Sigma workbook to visualize key attrition trends and present findings to the executive team.
  • Evening: Researching the latest advancements in AI and LLMs to identify opportunities for enhancing our people analytics capabilities.

Why Denver, Colorado?

Denver is a vibrant and growing city that offers a unique blend of urban amenities and outdoor recreation. As a hub for technology and innovation, Denver provides a supportive ecosystem for data professionals. The city boasts a thriving job market, a high quality of life, and easy access to the Rocky Mountains.

Crusoe's Denver office is located in the heart of the city, providing easy access to restaurants, entertainment, and cultural attractions. The office features a modern and collaborative workspace designed to foster creativity and innovation.

Career Path

This Senior Data Engineer role offers a clear path for career advancement within Crusoe. You could progress to a Lead Data Engineer role, where you would be responsible for leading a team of engineers and setting the technical direction for the People Analytics team. Alternatively, you could transition into a Data Architect role, where you would focus on designing and implementing the overall data strategy for the organization.

Crusoe is committed to providing employees with opportunities for professional development and growth. We offer a variety of training programs and mentorship opportunities to help you advance your career.

Salary & Benefits

The estimated salary range for this role is $140,000 to $190,000 per year. Crusoe offers a comprehensive benefits package, including:

  • Medical, dental, and vision insurance
  • Paid time off and holidays
  • 401(k) retirement plan with company match
  • Professional development opportunities
  • Flexible work arrangements

Crusoe Culture

At Crusoe, we are driven by a mission to accelerate the abundance of energy and intelligence. We foster a culture of innovation, collaboration, and sustainability. We are committed to creating a workplace where everyone feels valued, respected, and empowered to contribute their best work.

We believe in the power of data to drive positive change. We are passionate about using our technology to solve some of the world's most pressing challenges.

How to Apply

If you are a passionate and experienced Data Engineer looking for an opportunity to make a real impact, we encourage you to apply. Please submit your resume and cover letter through our online application portal.

FAQ

  1. What is Crusoe's mission?

    Crusoe's mission is to accelerate the abundance of energy and intelligence.

  2. What is the role of a Data Engineer at Crusoe?

    A Data Engineer at Crusoe is a builder, an innovator, and a trusted strategic partner. They sit at the intersection of data engineering, business consulting, and applied AI.

  3. What technologies will I be working with?

    You will be working with Google Cloud Platform, BigQuery, dbt, Sigma, Python, SQL, Ashby, and Rippling, among others.

  4. What is the work environment like at Crusoe?

    Crusoe fosters a collaborative, innovative, and supportive work environment.

  5. What are the opportunities for career growth?

    There are opportunities to advance to Lead Data Engineer, Data Architect, or other leadership roles within the company.

  6. Does Crusoe offer relocation assistance?

    Relocation assistance is assessed on a case-by-case basis.

  7. What is Crusoe doing to be sustainable?

    Crusoe is focused on solutions that reduce flaring, use stranded energy resources and enable carbon capture.

  8. What are some of the benefits of working for Crusoe?

    Crusoe offers competitive compensation, health benefits, PTO, 401K, and more!

  9. What is the interview process like?

    The interview process involves phone screens, technical interviews, and team interviews.

  10. Where is the position based?

    This position is based out of our Denver, Colorado office.

Locations

  • Denver, Colorado, United States

Salary

Estimated Salary Rangemedium confidence

154,000 - 209,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Data Engineeringintermediate
  • ETL Pipelinesintermediate
  • Google Cloud Platform (GCP)intermediate
  • BigQueryintermediate
  • Semantic Modelingintermediate
  • dbtintermediate
  • AIintermediate
  • LLMsintermediate
  • Predictive Analyticsintermediate
  • Sigmaintermediate
  • BI Platformsintermediate
  • Pythonintermediate
  • SQLintermediate
  • Ashbyintermediate
  • Ripplingintermediate
  • HCM Systemsintermediate
  • ATS Systemsintermediate
  • Data Visualizationintermediate
  • Storytellingintermediate
  • Consultingintermediate
  • Workplace Solutionsintermediate
  • HR Automationintermediate
  • Data Architectureintermediate
  • Machine Learningintermediate
  • Cloud Computingintermediate

Required Qualifications

  • Bachelor's or Master's degree in a relevant field (e.g., Computer Science, Data Science, Engineering) (experience)
  • 5+ years of experience in Data Engineering or a related role (experience)
  • Proficiency in Python and SQL programming (experience)
  • Experience with Google Cloud Platform (GCP) data warehousing solutions, particularly BigQuery (experience)
  • Hands-on experience with ETL pipeline development and management (experience)
  • Strong understanding of semantic data modeling principles (experience)
  • Experience with dbt or similar data transformation tools (experience)
  • Experience with AI and machine learning techniques for data analysis and prediction (experience)
  • Familiarity with HR and recruiting systems like Ashby and Rippling (experience)
  • Expertise in data visualization and storytelling using Sigma or similar BI platforms (experience)
  • Excellent communication and consulting skills (experience)
  • Proven ability to translate business needs into data-driven solutions (experience)
  • Experience building and maintaining complex data pipelines (experience)
  • Strong problem-solving skills and attention to detail (experience)
  • Ability to work independently and as part of a team (experience)

Responsibilities

  • Build and maintain resilient ETL pipelines to centralize data from HCM and ATS systems (e.g., Rippling, Ashby) into Google Cloud Platform (GCP) and BigQuery.
  • Architect a robust semantic data layer using dbt to translate raw database schemas into business-friendly logic, enabling self-service 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.
  • Design and deploy innovative data products that solve operational problems, such as automating manual HR workflows, building custom apps for internal mobility, or redesigning organizational structures.
  • Partner proactively with Talent, Finance, and People leaders to translate business anxieties into rigorous data questions and consult on the possibilities of modern analytics.
  • Design and deploy high-impact Sigma workbooks that guide executives through complex narratives, ensuring data is not just viewed, but acted upon.
  • Manage and optimize data infrastructure within GCP to ensure scalability, reliability, and performance.
  • Collaborate with data scientists and other engineers to develop and deploy machine learning models.
  • Ensure data quality and consistency across all data pipelines and products.
  • Implement data governance policies and procedures to maintain data security and compliance.
  • Stay up-to-date with the latest trends and technologies in data engineering and analytics.
  • Mentor and guide junior data engineers on best practices and methodologies.
  • Contribute to the development of data engineering standards and guidelines.
  • Participate in code reviews and ensure code quality.
  • Troubleshoot and resolve data-related issues in a timely manner.

Benefits

  • general: Competitive salary and benefits package
  • general: Medical, dental, and vision insurance
  • general: Paid time off and holidays
  • general: 401(k) retirement plan with company match
  • general: Professional development opportunities
  • general: Opportunity to work on cutting-edge technology and innovative projects
  • general: Collaborative and supportive work environment
  • general: Opportunity to make a significant impact on the company's success
  • general: Flexible work arrangements
  • general: Employee assistance program
  • general: Wellness programs
  • general: Life insurance
  • general: Disability insurance
  • general: Equity options
  • general: Commuting assistance

Target Your Resume for "Senior Data Engineer, People Analytics Careers at Crusoe - Denver, Colorado | Apply Now!" , Crusoe

Get personalized recommendations to optimize your resume specifically for Senior Data Engineer, People Analytics Careers at Crusoe - Denver, Colorado | Apply Now!. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Senior Data Engineer, People Analytics Careers at Crusoe - Denver, Colorado | Apply Now!" , Crusoe

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

Data EngineeringPeople AnalyticsGCPAIDenverColoradoData EngineerCrusoe Energy SystemsGoogle Cloud PlatformBigQuerydbtSigmaETL PipelinesSemantic ModelingLLMsPredictive AnalyticsHR SystemsAshbyRipplingData VisualizationSQLPythonData ArchitectureMachine LearningTalent AnalyticsWorkforce PlanningGreen TechAI InfrastructureCloudEngineering

Answer 10 quick questions to check your fit for Senior Data Engineer, People Analytics Careers at Crusoe - Denver, Colorado | Apply Now! @ Crusoe.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.