Database Engineer / Senior Database Engineer

Brookfield Renewable Partners L.P.; New York (NY); Hybrid; USD 120,000 - 160,000; Full time

Job summary

TerraForm Power is seeking a Database Engineer / Senior Database Engineer in New York, NY. The role focuses on designing and supporting enterprise-scale data platforms for renewable energy analytics, combining software engineering, data engineering, and cloud technologies.

You will build scalable data pipelines, optimize performance, and contribute to data governance in a fast-paced environment with exposure to SCADA data, weather, and market data streams.

Qualifications

• Bachelor's degree in a related technical field.
• 5+ years of production software or analytics experience.
• Strong Python and SQL skills for production-grade software.
• Experience with ETL pipelines and large-scale datasets.

Responsibilities

• Design and maintain enterprise-scale Python data pipelines in Databricks and Delta Lake.
• Build ETL frameworks and ensure production-grade analytics.
• Create data models and governance standards.
• Develop dashboards and analytics offerings for renewable energy operations.

Skills

Python

SQL

ETL pipelines

Databricks

Spark

Cloud analytics

Data modeling

Communication

Education

Bachelor's degree in CS/Engineering

Tools

Databricks

Delta Lake

Streamlit

Job description

Job Category: Professional & Technical

Requisition Number: DATAB005745

• Posted : July 20, 2026
• Full-Time

Locations

Showing 1 location

200 Liberty Street
14th Floor
New York, NY 10281, USA

Job Type: Exempt Salaried, Full-Time
Location: United States - New York, NY (Office Onsite / Remote)
Reports To: Manager, Performance Engineer
Department: Operations

About Us

TerraForm Power is a leading owner, operator, and producer of renewable energy across North America. As a portfolio company of Brookfield Renewable, we own and operate approximately 2,200 MW of utility-scale wind, solar, and battery energy storage facilities across 15 U.S. states and Ontario, Canada.
Headquartered in New York City, TerraForm Power is committed to delivering reliable, innovative renewable energy solutions that help customers achieve their clean energy goals. Our experienced team manages every aspect of our operations - from power generation and asset management to commercial energy solutions - ensuring the safe, reliable, and efficient performance of our renewable energy facilities.
At TerraForm Power, our people are at the heart of our success. We foster a culture built on safety, integrity, collaboration, innovation, and continuous improvement, while investing in the development of our employees and supporting the communities where we operate through environmental stewardship, charitable giving, and meaningful local partnerships.
If you're passionate about renewable energy and want to make a lasting impact on the future of clean power, we invite you to join our team.

Job Summary

The Database Engineer / Senior Database Engineer is responsible for designing, developing, and supporting enterprise-scale data and analytics solutions across TerraForm Power's renewable energy portfolio.

This role combines software engineering, data engineering, and cloud technologies to build scalable data platforms, automate engineering workflows, and develop analytical solutions supporting renewable energy operations. The successful candidate will design production-grade data pipelines, build scalable applications, and contribute to the implementation of analytical solutions.

Depending on experience and level, the successful candidate will contribute to or lead engineering best practices, drive continuous improvement initiatives, mentor team members as appropriate, and support the long-term evolution of the Performance Engineering platform.

Key Responsibilities

• Design, develop, and maintain enterprise-scale Python data pipelines within Databricks and Delta Lake environments.
• Design resilient ETL frameworks supporting production-grade renewable energy analytics.
• Build scalable ingestion pipelines integrating SCADA systems, weather providers, market data, and third-party vendor APIs.
• Develop reusable engineering frameworks, shared libraries, and automation tools to improve platform maintainability.
• Optimize Spark workloads, Delta Lake performance, and large-scale data processing pipelines.
• Design robust data models, schema evolution strategies, and data governance standards.
• Renewable Energy Performance Analytics
  • Design analytical solutions supporting lost production, curtailment, availability, degradation, and operational performance analysis.
  • Integrate satellite weather datasets, forecasting services, and operational telemetry into engineering workflows.
  • Develop forecasting, regression, normalization, and reconciliation models supporting asset performance evaluations.
  • Develop and support fleet-wide engineering dashboards and performance monitoring tools.
• Data Quality & Engineering Excellence
  • Develop and maintain data quality frameworks including automated validation, reconciliation, anomaly detection, and monitoring.
  • Implement engineering best practices for testing, logging, exception handling, observability, and deployment.
  • Maintain technical documentation, metadata, and data dictionaries.
  • Participate in architecture reviews, code reviews, and engineering design discussions.
  • Contribute to the continuous improvement of platform reliability, scalability, and maintainability.

Skills & Qualifications

• Required Qualifications
  • Bachelor's degree in Computer Science, Data Engineering, Software Engineering, Electrical Engineering, Renewable Energy Engineering, or a related technical discipline.
  • 5+ years of experience developing production software, data platforms, or engineering analytics solutions. Candidates with significant additional experience and demonstrated technical leadership may be considered for the Senior Database Engineer level.
  • Strong proficiency in Python with experience developing production-quality software.
  • Strong SQL skills with experience designing and optimizing analytical data models.
  • Experience developing ETL pipelines processing large-scale structured and time-series datasets.
  • Strong understanding of distributed data processing concepts and cloud-based analytics platforms.
  • Excellent analytical, communication, and problem-solving skills.
  • Ability to work independently while collaborating effectively with cross-functional teams.
• Preferred Qualifications
  • Experience with utility-scale solar, wind, or battery storage operations.
  • Experience with Databricks, Apache Spark, Delta Lake, and cloud-native data platforms.
  • Experience integrating SCADA systems, operational technologies, and third-party vendor APIs.
  • Experience building engineering applications using Streamlit or similar Python frameworks.
  • Experience with statistical modeling, regression analysis, forecasting, or machine learning.

Recruitment Agency Notice:

TerraForm Power Human Resources team does not accept unsolicited resumes from third party recruiters, staffing firms, or related agencies. The Human Resources team coordinates all recruiting and hiring at our company. We do not accept resumes from third-party recruiters unless authorized by the Human Resources team and if a signed agreement is in place. Any unsolicited resumes will be considered property of TerraForm Power and we are not responsible for any related fees. All communication related to recruiting partnerships should ONLY be directed to the Human Resources team.

Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.For further information, please review the Know Your Rights notice from the Department of Labor.