Site Reliability​/Data Engineer

Overview

Origis Energy is accelerating the transition to a carbon-free future by Reimagining Zero SM. As one of America’s leading renewable energy and decarbonization solution platforms, the company continues to expand and reimagine its contribution to the world’s net-zero goals. Origis Energy puts customers first to deploy a wide range of sustainable solutions for grid power generation, performance optimization, and long-term operation of solar and energy storage plants across the U.S. Founded in 2008, Origis Energy is headquartered in Miami, FL.

The Origis team,regarded as one of the leading developers in the U.S., is committed to living five core values in all interactions both with each other and external stakeholders:

Solve for Tomorrow. A role with Origis Energy puts you at the forefront of the transition to clean energy. Are you ready to bring new ideas? Do you exist to find solutions? That’s how we revolutionize energy and build a carbon-free future - through unmatched service and relentless innovation.

Rise Together. To succeed here, you’ll collaborate with others and work as one team, across various teams including solar and energy storage development, financing, engineering, procurement and construction (EPC) and operations, maintenance and asset management. Are you open to diverse perspectives and prepared to work seamlessly across disciplines to reach our collective goals?

Perform at Peak. We’re seeking team members who bring authentic energy and passion to every task. How can you use your natural strengths, genuine optimism and intelligence to make your greatest contributions to Origis?

Inspire & Grow. The Origis team is comprised of knowledgeable, passionate solar and energy storage experts who bring deep expertise and solution-driven thinking to clients. A successful Origis team member encourages others and sets a high bar for growth. We have a culture of continuous improvement because each team member takes the role of both learner and mentor.

Be Resilient. The spirit in which we tackle the energy challenges and objectives of our clients means we consistently stretch for the extra mile. We all take initiative and remain adaptable, overcoming obstacles by prioritizing respect.

The Senior Data Engineer is a regular, full-time position, and is eligible for our generous employee benefits package, including employer paid health insurance, paid time off, a 401(k) plan with employer matching contributions, and other great benefits.

• Develop, optimize, and maintain scalable data pipelines and ETL processes in Databricks.
• Integrate data from diverse sources (plant SCADA systems, IoT devices, financial/ERP systems, market data, etc.).
• Write efficient, maintainable code in Python for data transformation, automation, and analytics.
• Design and maintain Delta Lake, SQL-based transformations, and structured streaming workflows.
• Implement data quality checks, monitoring, and governance to ensure accuracy and reliability.
• Collaborate with data analysts, business stakeholders, and operations teams to deliver insights.
• Support Power BI and other visualization platforms by preparing curated datasets.
• Ensure solutions are secure, scalable, and aligned with renewable energy industry compliance standards.

• Bachelor’s or Master’s in Computer Science, Data Engineering, or related field.
• 3+ years of experience as a Data Engineer (preferably in energy, utilities, or industrial environments).
• Strong hands-on experience with Databricks (PySpark, Delta Lake, Delta Sharing, MLflow a plus).
• Proficiency in Python for data engineering and automation tasks.
• Solid SQL skills for complex queries and data modeling.
• Familiarity with cloud platforms (AWS, Azure, or GCP), especially in a data context.
• Familiarity with CI/CD, Git, and Dev Ops best practices.

• Experience with CI/CD pipelines, Git, and Terraform for Databricks.
• Familiarity with dbt, Airflow, or other orchestration tools.
• Understanding of data privacy, security, and compliance principles (e.g., row-level security, encryption).
• Exposure to machine learning workflows and MLflow.
• Occasional…