Data Engineer at Peak Power Inc

Toronto, Ontario, Canada -

Full Time

Start Date

Immediate

Expiry Date

20 Jun, 26

Salary

140000.0

Posted On

23 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Data Pipelines, Cloud Applications, Postgres, TimescaleDB, InfluxDB, Apache Airflow, Luigi, Pulumi, Terraform, Kubeflow, SageMaker, Apache Spark, Apache Flink, Amazon S3, Generative AI

Industry

Services for Renewable Energy

Description

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 fast-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 Peak Power? We’re focused on solving problems that impact energy markets both locally and around the world. We are a growth-stage clean technology company that has partnered with major names in real estate, electricity, and smart city spaces. To work with us is not only to work with an exciting company, but to also be on the cutting edge of the global transition to distributed, clean, and carbon-free energy. How we invest in our team: Justice, Equity, Diversity, and Inclusion (JEDI). We believe in driving a better energy future through focused efforts towards understanding and improving Diversity, Equity, and Inclusion. You’re Covered. Comprehensive benefits from Day 1. Work/Life Balance. Generous and flexible vacation and sick/wellness days to make time for personal appointments and taking a mental health break. We’re Listening. We take internal engagement surveys seriously and make actionable changes based on feedback. Keep Learning. Sharpen your skills through continuous development paid for by Peak Power. Get Social. Fun activities including team events and game nights to stay connected both virtually and in person including fun Slack channels that celebrate our love of food, fitness, fashion, furry friends, and everything in between! Long Weekends Start Early. Beat the traffic to the cottage or curl up with your favourite book, start early with half days off before long weekends. Health & Wellness. We care about your physical and mental wellbeing and offer monthly reimbursements to support your fitness and health journey. Join us! Apply here or learn more about our company from our website or LinkedIn. At Peak Power we value the unique experiences and perspectives that folks bring. This is how we build a collaborative and innovative environment. As such, we welcome people of different backgrounds, experiences, abilities, and perspectives. Should you feel that you don’t meet 100% of the areas of this posting we encourage you to apply and tell us more about what values you feel you could add to the team. Accommodations are available by request for candidates taking part in all aspects of the selection process. Our total compensation package includes a competitive salary, comprehensive health and wellness benefits, paid time off, eligibility for an annual performance bonus and participation in the organization’s equity incentive plan, along with additional perks designed to support your well-being and professional growth. The salary range for this role is $100,000–$140,000, which reflects differences in experience, skills, and qualifications that candidates may bring to the position. We may use artificial intelligence (AI) tools to support certain stages of the hiring process. These tools help our recruitment team by organizing and reviewing candidate information, but they do not replace human judgment. All hiring decisions are made by people. If you have questions about how your information is used, please reach out to us.” This posting is for an existing vacancy.

Responsibilities

The Senior Data Engineer will focus on delivering secure, reliable, and scalable data pipelines to support data science teams and real-time business intelligence reporting, while also diagnosing issues and planning for disaster recovery. They will collaborate cross-functionally with software teams, data scientists, and stakeholders to understand data needs, deploy machine learning models, and provide technical guidance on cloud application development.