Peak Power is a North American cleantech company providing end-to-end battery energy storage solutions for large commercial, industrial, and manufacturing facilities operating in IESO, ISO-NE, PJM, and NYISO.

Powered by industry-leading peak forecasting and market intelligence, we help large energy users significantly reduce electricity costs, unlock new revenue streams, and achieve sustainability goals.

Through strategic investor partnerships, we remove capital cost barriers with zero-capex energy storage offered through a shared-savings model, aligning with customer success by prioritizing battery performance.

The Opportunity

Reporting to the Director of Software Engineering, you will have the opportunity to work with a talented group of Software Engineers, Data Scientists and business stakeholders in a quick-paced and exciting environment. As a Senior Data Engineer, you will join a team on a mission to provide insights and predictions to our customers by acquiring and organizing large volumes of data from our production applications. Your people, process and technology skills will be especially valuable as you work with your team and others.

This work matters. Even a small change to optimize power utilization can have a huge impact on our customers, our electrical grid and our environment. We’re building something that will have a lasting, positive impact.

Our Senior Data Engineer will focus on

Deliver You have strong analytical and problem-solving skills to find solutions to complex problems and drive high-risk initiatives to completion on time, on budget.

- Implement data pipelines that are secure, reliable and scalable by design to support data science teams and real-time business intelligence reporting




- Diagnose and troubleshoot problems; implement changes so problems only happen once
- Perform disaster recovery planning to ensure that data and systems can be recovered
- You will monitor and report on progress, evaluate processes and systems to improve efficiency; and implement processes that provide transparency and tracking

Collaborate. You have strong interpersonal and communication skills to keep everyone on the same page when working cross-functionally.

- Collaborate with software teams to understand and document the sources of data necessary for production applications, reporting and other data needs
- Collaborate with data scientists to deploy and optimize machine learning models
- Collaborate with our internal stakeholder teams to understand their data needs, build, and support systems to provide access to data to enable the development of prototypes
- Provide technical guidance and coaching to influence the design, development and testing of cloud applications that produce data

Grow. The team prides themselves on creating and maintaining efficient, robust data solutions. With a passion for product development at the bleeding edge of innovation and curiosity for continuous development, you will bring your expertise to create scalable systems.

- Continuously improve data security, reliability,



scalability and performance
- Stay current with the latest cloud computing, machine learning and data science technologies with opportunities to attend some of the industry’s leading data conferences

What you will bring to Peak Power:

The experience and education.

- Bachelor’s degree in software engineering, computer science or related technical field (e.g. EE, physics or mathematics), or equivalent practical experience
- AWS certifications, or equivalent practical experience
- 5+ years of experience as a data engineer, software engineer or similar technical role using Python to build, test and deploy data pipelines
- Experience deploying and maintaining containerized cloud applications and cloud functions
- Experience working with relational and time series databases, like Postgres, TimescaleDB and InfluxDB
- Experience with workflow orchestration tools such as Apache Airflow or Luigi
- Experience with infrastructure-as-code software such as Pulumi and Terraform
- Experience with MLOps platforms such as Kubeflow and SageMaker is a nice to have
- Passionate and experience about leveraging Generative AI tools (e.g., Cursor, Claude Code, IDE-integrated copilots) to accelerate development workflows and enhance productivity
- Experience with large-scale data processing and distributed computing frameworks such as Apache Spark and Apache Flink
- Experience building a data lake using Amazon S3, Apache Iceberge, Delta Lake, or similar technologies
- General knowledge of software development, APIs, data stores, networking, security, machine learning and cloud computing services

So why

📌 Data Engineer (Toronto)
🏢 Peak Power
📍 Toronto