Data Engineer

HighlightTA; Toronto; On-site; CAD 80,000 - 100,000; Full time

Job summary

A leading technology company is seeking a Data Engineer who can design and maintain data management features while collaborating with product and engineering teams. The ideal candidate holds solid experience in backend technologies such as Go and Python along with strong problem-solving skills. Join a supportive engineering culture and be instrumental in shaping innovative solutions that blend hardware and software. Located in Toronto, this role offers an opportunity to work on real-world products that utilize advanced data technologies.

Qualifications

• Solid experience with technology in our stack or equivalent systems.
• Strong problem-solving skills with the ability to work independently.
• Comfortable working in a collaborative, agile environment.

Responsibilities

• Design, develop, and maintain features focusing on data management.
• Collaborate with product and engineering teams to leverage data.
• Write clean, maintainable, and well-tested code.

Skills

Problem-solving skills

Collaboration

Data management

Agile methodologies

Tools

PostgreSQL

AWS S3

Kafka

Snowflake

Redshift

Go (Golang)

Python

Job description

About Planitar

Planitar Inc., founded in 2013, is the maker of iGUIDE – an industry-leading platform that combines proprietary camera hardware with advanced software to deliver accurate floor plans, immersive 3D virtual tours, and critical property data. Our mission is to redefine how people capture, navigate, and explore interior spaces digitally. Learn more at www.goiguide.com.

About the Role

We’re looking for a Data Engineer with a product mindset—someone who enjoys spending time on backend and data management work, while at the same time caring about how our rich data set can be leveraged for business value. You’ll work closely with our cloud platform team and full-stack developers to make sure data is in the right place at the right time for internal and external stakeholders. We value engineers who think beyond “just code” to understand why a feature exists, how it’s used, and how it can be better.

What you'll do

• Design, develop, and maintain features with a focus on data management and data access.
• Backend: Go (Golang), Python
• Infrastructure: PostgreSQL, AWS S3, Kafka
• Data Warehousing: Snowflake, Redshift (or similar)
• Collaborate with product and engineering teams to identify opportunities to realize value from our data set.
• Advocate for good data management practices, including maintainable schema design.
• Work with stakeholders across the organization who have important data to contribute to our growing data lake.
• Write clean, maintainable, and well-tested code.
• Participate in code reviews, architecture discussions, and roadmap planning.
• Optimize performance and cost.

What We’re Looking For

• Solid experience with technology in our stack, or equivalent systems.
• Strong problem-solving skills with the ability to work independently.
• Comfortable working in a collaborative, agile environment.
• Passion for delivering value “behind the scenes”.
• Adaptable and comfortable with ambiguity—you can adjust quickly when priorities shift, and you’re able to make progress even when some details are still taking shape.

Bonus Points For

• Experience with AWS, Terraform (or other Infrastructure-as-Code tools).
• Hands‑on experience with scripting and coding using Python, Bash.
• Familiarity with Continuous Integration and Continuous Deployment practices.
• Experience working on products that span mobile, hardware, and web, especially those involving cameras, LiDAR, or other sensors.

Why Join Planitar?

You’ll be part of a supportive and fast-moving engineering culture, working on real-world products that blend hardware and software in innovative ways. Your leadership will help shape how our teams build, deliver, and grow our platform.

How We Hire

We use AI tools to support our recruitment process, including helping us organize applications and identify early matches based on role criteria. That said, every rejection decision is made by a human. We encourage candidates to apply authentically and avoid relying solely on AI-generated responses, especially during interviews.

This opportunity is offered through HighlightTA, the on-demand talent team supporting Planitar’s growth.

Connect with us and learn more:

Planitar on Linkedin
HighlightTA on LinkedIn