Engineering - Data Engineer

Job Details


Homeowners invest their time, money and dreams to create the perfect space to call home. Founded in 2006 by Nancy Peterson, HomeStars is Canada’s #1 marketplace dedicated to helping homeowners research, connect with, and hire the best and most reliable home service pros.
Our proprietary algorithm connects hundreds of thousands of homeowners each year with the right pro for the job. Our review-based platform is the online alternative to traditional word-of-mouth, enabling our network of 60K+ pros to showcase their business for growth.

Speaking of growth, we’re expanding our team, and we need your help!


HomeStars is looking to continue to build a positive, winning culture and that starts with hiring great people like you! If you are looking to work or be a part of an organization with an exceptional environment, we want to hear from you!

Perks of working at HomeStars:

- We are growing fast. HomeStars is part of the ANGI Homeservices Inc. family
- Excellent Benefits Package. We want a healthy and productive team
- Company wide social events and team building activities
- December Break. The office is closed the week before New Year’s
- Personal Growth. We seek to provide employees with constructive feedback to foster their career growth
- Beautiful brick & beam office in the heart of the entertainment district in Toronto

What we are looking for…

- Someone with strong analytical skills related to working with unstructured datasets who is able to process large amounts of data, and implement ways to improve its reliability, efficiency, and quality
- Someone who is able to work with data and analytics experts to strive for greater functionality in our data systems
- Create and maintain an optimal data pipeline architecture
- Have an active voice in our technical architecture discussions to ensure that data is captured to deliver actionable insights
- Uncover patterns and trends in our data that inform how we build product and define key performance indicators
- Evaluate how the data will be used to determine the best data store to use and the appropriate techniques for working with it


- Ruby on Rails, NodeJS, React
- Amazon Web Services, Amazon Aurora MySQL, Redshift, Snowflake, Airflow, Informatica, CircleCI, EC2, Elasticsearch, Sidekiq, RabbitMQ


- Experience with Terraform, Docker and Kubernetes
- Experience with the JSON API Specifications
- Experience with web sockets
- Full stack experience with Ruby on Rails, NodeJS, Python Flask, or React

Our Engineering Values:

- Seek to Understand and Be Understood
- Make User Driven, Data Informed Decisions - Think Big, Ship Small, to Maximize Learning
- Champion Belonging and Wellness for Everyone - Take Responsibility to Build Sustainably
- Commit to Continuous Learning

We are an equal opportunity employer and do not discriminate based upon race, religion, colour, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.


Full Time

Do you want to join our amazing team?

Send your resume to: