Hi, we are ecobee.
ecobee introduced the world’s first smart Wi-Fi thermostat to help millions of consumers save money, conserve energy, and bring home automation into their lives. That was just the beginning. We continue our pursuit to create technology that brings peace of mind into the home and allows people to focus on the moments that matter most. We take pride in making a meaningful difference to the environment, all while being part of the exciting, connected home revolution.In 2021, ecobee became a subsidiary of Generac Power Systems.
Generac introduced the first affordable backup generator and later created the category of automatic home standby generator. The company is committed to sustainable, cleaner energy products poised to revolutionize the 21st century electrical grid. Together, we take pride in making a meaningful difference to the environment.
Why we love to do what we do:
We’re helping build the world of tomorrow with solutions that improve everyday life while making a positive impact on the planet. Our products and services work in harmony to provide comfort, efficiency, and peace of mind for millions of homes and businesses. While we’re proud of what we’ve done so far, there’s still a lot we can do—and you can be part of it.
Join our extraordinary team.
We're a rapidly growing global tech company headquartered in Canada, in the heart of downtown Toronto, with a satellite office in Leeds, UK (and remote ecopeeps in the US). We get to work with some of North America and UK's leading professionals. Our colleagues are proud to bring their authentic selves to work, confident that what we do is grounded in a greater purpose. We’re always looking for curious, talented, and passionate people to join our team.This role is open to being 100% remote within Canada while our home office is located in Toronto, Ontario.
You may be required to travel to Toronto once per quarter for team and/or company events.
Who You’ll Be Joining:
You will be part of the dynamic data engineering and machine learning services focused group at ecobee focused on leveraging data to enhance the smart home experience for customers. This team is responsible for building and maintaining the data infrastructure and machine learning capabilities that power intelligent features across ecobee’s product ecosystem, such as integrated AI services, energy optimization, home automation, personalized climate control, predictive maintenance.
How You’ll Make an Impact:
- Design, build, and maintain scalable and efficient ETL/ELT pipelines for both batch and real-time data ingestion and transformation.
- Implement data extraction and processing solutions to support analytics, machine learning, and operational use cases.
- Integrate diverse data sources, including IoT device data, third-party APIs, and internal systems, into centralized data repositories.
- Develop and maintain data warehousing solutions and ensure data is structured and available for downstream analytics.
- Monitor and optimize data workflows and infrastructure to ensure high performance and reliability.
- Implement monitoring, alerting, and logging for data pipelines to proactively identify and resolve issues.
- Collaborate with data scientists, analysts, product managers, and other engineering teams to understand data requirements and deliver high-quality data solutions.
- Translate business requirements into technical specifications and provide guidance on data engineering best practices.
- Implement data quality checks, validation, and cleansing procedures to ensure data integrity and accuracy.
- Create and maintain comprehensive documentation for data pipelines, architectures, and processes.
- Share knowledge and best practices with the team, and contribute to the growth and development of the data engineering community within the organization.
- Architect and implement sophisticated data pipelines that handle massive IoT data streams, ensuring data quality, consistency, and low-latency processing.
- Introduce frameworks and best practices for feature engineering, data versioning, and experimentation in collaboration with machine learning teams.
What You’ll Bring to the Table:
- Proficiency in building data pipelines using Python, SQL, and tools like Apache Spark, Apache Kafka, and Apache Airflow.
- Experience with cloud-based data platforms (GCP preferred), including services like Big Query, Big Table, and Dataflow
- Familiarity working with SQL based operational databases like
- Familiarity with data processing and storage solutions tailored for machine learning workflows.
- Good understanding of the machine learning lifecycle and experience in supporting data preparation, feature engineering, and model deployment processes.
- Experience working with machine learning frameworks and libraries is a plus.
- Strong experience in data modeling, schema design, and optimization for data warehousing and data lake solutions.
- Experience with designing data solutions that support both batch and real-time processing requirements.
- Excellent communication skills, with the ability to work effectively in a collaborative environment and convey technical concepts to non-technical stakeholders.
- Proven track record of working in cross-functional teams and driving alignment between technical and business goals.
Just so you know:
The hired candidate will be required to complete a background check
What happens after you apply:
Application review.
It will happen. By an actual person in Talent Acquisition. We get upwards of 100+ applications for some roles, it can take a few days, but every applicant can expect a note regarding their application status.
Interview Process (4 stages):
- A 30-minute phone call with a member of Talent Acquisition
- A 45 minute call with the Director of Data Engineering and Machine Learning services focused on behavioural, situational and culture fit questions
- A 90 minute virtual interview with a cross-functional group of engineers - this will be technical interview where you will be presented with a case study to solve a real life problem. This interview will test your design and coding skills necessary to succeed in this position.
- The final interview will be a 45 minute interview with leadership.
With ecobee, you’ll have the opportunity to:
- Be part of something big: Get to work in a fresh, dynamic, and ever-growing industry.
- Make a difference for the environment: Make a sustainable impact while on your daily job, and after it through programs like ecobee acts.
- Expand your career: Learn with our in-house learning enablement team, and enjoy our generous professional learning budget.
- Put people first: Benefit from competitive salaries, health benefits, and a progressive Parental Top-Up Program (75% top-up or five bonus days off).
- Play a part on an exceptional culture: Enjoy a fun and casual workplace with an open concept office, located at Queens Quay W & York St. ecobee Leeds is based at our riverside office on the Calls.
- Celebrate diversity: Be part of a truly welcoming workplace. We offer a mentorship program and bias training.
Are you interested? Let's make it work.
Our people are empowered to take ownership of their schedules with workflows that allow for flexible hours. Based on your job, you have an option of a office-based, fully remote, or hybrid work environment. New team members working remotely, will have all necessary equipment provided and shipped to them, and we conduct our interviews and onboarding sessions primarily through video.
We’re committed to inclusion and accommodation.
ecobee believes that openness and diversity make us better. We welcome applicants from all backgrounds to apply regardless of race, gender, age, religion, identity, or any other aspect which makes them unique. Accommodations can be made upon request for candidates taking part in all aspects of the selection process. Our recruitment team is happy to answer any questions candidates may have about virtual interviewing, onboarding, and future work locations.We’re up to incredible things. Come and be part of them.Discover our products and services and learn more about who we are.Ready to join ecobee? View current openings.Please note, ecobee does not accept unsolicited resumes.
