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Senior Data Engineer

Peak Power, Inc.

Toronto

On-site

CAD 100,000 - 120,000

Full time

13 days ago

Job summary

A clean technology company in Toronto is looking for a Senior Data Engineer to join a talented team. You will be responsible for implementing secure and scalable data pipelines while collaborating with software and data science teams to provide insights and predictions. Ideal candidates have at least 5 years of experience and a strong background in Python and cloud technologies. Competitive benefits and a commitment to team development are offered.

Benefits

Comprehensive benefits from Day 1
Flexible vacation and sick days
Continuous development opportunities
Monthly wellness reimbursements
Team events and activities

Qualifications

  • 5+ years of experience as a data engineer or software engineer.
  • Experience deploying and maintaining containerized cloud applications.
  • Exposure to large-scale data processing frameworks is beneficial.

Responsibilities

  • Implement data pipelines that are secure, reliable and scalable.
  • Collaborate with data scientists to deploy machine learning models.
  • Perform disaster recovery planning.

Skills

Strong analytical and problem-solving skills
Experience with Python
Experience with relational and time series databases
Experience with workflow orchestration tools
General knowledge of software development

Education

Bachelor's degree in software engineering, computer science or related field

Tools

AWS
Apache Airflow
Postgres
Docker
Terraform
Job description
Overview

At Peak Power, we're making it profitable to pursue net zero

Peak Power enables C&I companies to reduce costs while pursuing net zero goals by working with financiers to provide a no-cost battery energy storage solution that covers deployment, operation, and maintenance. We also help distributed energy resource asset owners optimize their assets through our Peak Synergy software.

Peak Synergy is our energy efficiency software platform. It analyzes grid conditions in real-time and sends notifications for high demand hours. The platform also looks at how dirty the grid is at any moment. If a building has batteries and EV chargers onsite, Peak Synergy manages their usage to meet sustainability goals and participate in complicated energy market programs.

At the end of the day, this means cleaner, more reliable, and more affordable electricity for everyone. We\'re powering the clean energy revolution.

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.

The 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
  • 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
  • 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 Iceberg, Delta Lake, or similar technologies
  • Experience with data warehousing solutions (e.g. Snowflake, BigQuery, Redshift), including knowledge of dimensional data modelling techniques (e.g. Kimball, Inmon)
  • 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 .

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.

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