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Database Engineer ​/ Senior Database Engineer

Job in New York, New York County, New York, 10261, USA
Listing for: Brookfield Renewable Partners L.P.
Full Time position
Listed on 2026-08-02
Job specializations:
  • Software Development
    Data Engineering, Python, SQL Developer
Salary/Wage Range or Industry Benchmark: 110000 - 160000 USD Yearly USD 110000.00 160000.00 YEAR
Job Description & How to Apply Below
Location: New York

Job Category
:
Professional & Technical

Requisition Number
: DATAB
005745

  • 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

Terra Form Power (“TERP”), a platform company of Brookfield Renewable, attracts high-performing individuals who are driven to make an impact in a fast-paced and collaborative environment. We offer unparalleled opportunity to lead and manage one of the largest renewable energy businesses with decades of history, while contributing to the global need for sustainable energy.

We offer tremendous growth opportunity for individuals with an entrepreneurial mindset. The company is committed to employee development, encouraging curiosity, ownership, and continuous learning. You’ll be empowered to take initiative, contribute ideas, and grow your career within a supportive and ambitious organization.

Job Summary

The Database Engineer / Senior Database Engineer is responsible for designing, developing, and supporting enterprise-scale data and analytics solutions across Terra Form 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…
Position Requirements
10+ Years work experience
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