Lead Performance Engineer

CYPRESS CREEK RENEWABLES - Durham, NC

Full-time

Durham, NC

Heavy and Civil Engineering Construction

About the position

Cypress Creek Renewables seeks a highly motivated candidate with experience in solar PV for an opportunity to work on a team responsible for the optimization of a fleet of 4.1+ GW of solar PV & Storage assets across the US. The Performance Engineering team sits within the O&M department under the monitoring, performance, and operations group. Our ideal candidate is an experienced Data Engineer passionate about a career in renewable energy. The individual will lead the Performance Engineering team, reporting into the Director of Operations and Analytics. This candidate will share duties with Performance Engineers while gradually developing our Data Management infrastructure and initiatives within O&M. This team member will be a vital part of the digital transformation work being done in the fastest growing segment of the power sector.

Responsibilities

• Participate in data collection, collation, structuring and cleaning. Maintain data quality through statistical control.
• Manage and monitor data pipelines, ensuring reliability and scalability.
• Design and deploy dynamically scalable, available, fault-tolerant, and reliable data architectures on Snowflake and AWS Cloud infrastructure leveraging native AWS services such as AWS S3, EMR, Lambda and Glue to support business needs.
• Managing cloud data infrastructure such that data consumers have efficient access (dependency management data integrity, database optimization).
• Participate rollout of cloud based data governance & security systems.
• Write clean, efficient, and maintainable Python code focused on quality, composability, testability, and simplicity.
• Develop back-end components, APIs, and microservices.
• Optimize data processing workflows for performance and cost efficiency.
• Design and implement front-end solutions for end users with tools such as Flask, Dash, and PowerBI.
• Optimize applications for speed and scalability.
• Write and maintain unit tests, documentation, and other essential parts of the development process.
• Troubleshoot, debug, and resolve software defects.
• Participate in code reviews and ensure code quality and best practices.
• Work with cross-functional teams to define and implement features and enhancements.
• Stay up-to-date with the latest trends and technologies in software development.

Requirements

• Bachelor's or Master's degree in Engineering, Data Science, or Computer Science.
• Proficient programming experience utilizing Python.
• Designing ETL processes and workflows that can provide sustainable access to an evolving data platform.
• Experience or training in data management, data engineering, and/or exchange-transfer-load (ETL) software.
• Experience or training in data visualization software such as (but not limited to) Dash, Bokeh, Power BI or Tableau.
• Familiar with analysis techniques and tools for large datasets (VBA, Python, or similar).
• Familiarity with microservices architecture.
• Experience with RESTful API design and development.
• Experience with relational (SQL) and non-relational (NoSQL) databases (Snowflake experience is a plus).
• Knowledge of version control systems, such as Git.
• Understanding of cloud computing and deployment.
• Familiarity with containerization tools like Docker and orchestration tools like Kubernetes.
• Experience in unit testing, TDD, and test automation.
• Strong problem-solving skills and attention to detail.
• Excellent communication skills and the ability to work in a collaborative team environment.
• Strong understanding of object-oriented programming (OOP) and design patterns.

Nice-to-haves

• Experience with asynchronous programming (e.g., Celery, asyncio).
• Familiarity with front-end technologies like JavaScript, HTML, CSS.
• Knowledge of Agile software development methodologies (Scrum, Kanban).
• Familiarity with DevOps practices and CI/CD pipelines.
• Experience in all aspects of electrical maintenance, including DC systems, AC medium voltage systems, protection equipment, network communications and monitoring.
• Ability to organize and analyze large data sets.
• Experience with the design and operation of photovoltaic systems.
• Ability to read and understand construction plan sets.
• Experience with system modeling utilizing PVlib, PVsyst, SAM, or other modeling software.
• Experience with data acquisition systems.
• Proficiency with MS Office Suite with an in-depth focus of Excel.
• Ability to take direction and remain focused on tasks without constant oversight.

Benefits

• Open layout office environment.
• Outdoor space and snacks available.
• Activities to relax and foster creativity.