Data Engineer

📍 Scottsdale, AZ (Hybrid 3 days a week in office)

About the Opportunity

A leading renewable energy organization is seeking a Data Engineer to join its high-growth Performance Engineering team. This is an exceptional role for someone who wants to work at the intersection of data engineering, analytics, and clean energy, supporting a portfolio of utility-scale solar, energy-storage, and solar-plus-storage assets across the U.S.

If you thrive in an environment focused on teamwork, continuous improvement, and driving real operational impact, this role offers both challenge and meaningful purpose.

What You’ll Do

As an Associate Data Engineer, you'll help optimize the performance of a large fleet of renewable energy assets by designing and maintaining modern data architectures. Your work will turn vast amounts of operational data into actionable insights for engineering and asset management teams.

Key responsibilities include:

• Build and maintain scalable data pipelines using Snowflake or Databricks
• Integrate large, diverse datasets from performance systems, CMMS platforms, and drone inspection imagery
• Analyze asset performance data to detect underperformance, quantify energy losses, and support predictive maintenance modeling
• Manage the full data lifecycle from ingestion (S3) to processing, analysis, and visualization
• Evaluate and improve systems, processes, and workflows across engineering teams
• Develop metadata documentation and support strong data governance practices

What We’re Looking For

• Bachelor’s degree in Data Science, Computer Science, Engineering, Statistics, or a related quantitative field
• 3–4 years of experience in a data-focused role
• Strong hands-on expertise with Snowflake or Databricks, plus cloud experience with AWS (S3, EC2, Glue, SageMaker)
• Experience with Apache Spark for distributed computing (highly preferred)
• Expert-level SQL and strong Python skills (Pandas, NumPy)
• Experience in statistical modeling, ML, and mathematical modeling
• Experience working with aerial or geospatial imagery (OpenCV, Scikit-image, GeoPandas, PyTorch, TensorFlow)
• Ability to collaborate effectively, take ownership, and drive process improvements
• Strong communication skills and the ability to align technical work with business goals

Why You’ll Love Working Here

This organization invests heavily in the well-being, growth, and success of its team members. You can expect:

• Flexible, hybrid work environment
• Generous PTO
• 401(k) with 6% company match
• Tuition reimbursement
• Paid parental & caregiver leave
• Inspiring, mission-driven culture
• Strong opportunities for professional growth and development