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Added 1 min ago
Project Manager
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Choose a career with rewards that matter. PCL's total rewards are designed to support your growth, well-being and future success -- because when you succeed, we all do. Our offerings could…
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MF
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Robinhood

Software Developer, Data Engineering

Toronto, ON, Canada

$166,000 - $195,000 CAD

Apply About employer

Applications open in a new tab.

Job details

Pay: $166,000 - $195,000 CAD
Experience: 4+ years of experience and a Bachelors degree or 2+ years and a Masters degree
Posting language: English
Posted: Oct 29, 2026

Original job description

Join us in building the future of finance.

Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading.

About the team + role

We’re thrilled to be expanding this year as Robinhood is hiring world-class engineering talent in Toronto. Our Hoodies in Canada will enable Robinhood to continue creating great financial products on our journey towards democratizing finance for all.

Robinhood is a metrics driven company and data is foundational to all key decisions from growth strategy to product optimization to our day-to-day operations. We are looking for a Senior Data Engineer to build and maintain foundational datasets that will allow us to reliably and efficiently power decision making at Robinhood. These datasets include application events, database snapshots, and the derived datasets that describe and track Robinhood's key metrics across all products. You’ll partner closely with engineers, data scientists and business teams to power analytics, experimentation, and machine learning use cases. We are a fast-paced team in a fast growing company and this is a unique opportunity to help lay the foundation for reliable, impactful, data-driven decisions across the company for years to come.

The role is located in the office location(s) listed on this job description which will align with our in-office working environment. Please connect with your recruiter for more information regarding our in-office philosophy and expectations.

What you’ll do

Help define and build key datasets across all Robinhood product areas. Lead the evolution of these datasets as use cases grow.
Build scalable data pipelines using Python, Spark and Airflow to move data from different applications into our data lake.
Partner with upstream engineering teams to enhance data generation patterns.
Partner with data consumers across Robinhood to understand consumption patterns and design intuitive data models.
Ideate and contribute to shared data engineering tooling and standards.
Define and promote data engineering best practices across the company.

What you bring

CS background or any other relevant fields of study.
Strong product mindset
4+ years of experience and a Bachelors degree or 2+ years and a Masters degree
Experience building high-quality data solutions
Strong analytical and problem solving skills.
Expertise building data pipelines using open source frameworks (Hadoop, Spark, etc)
Expertise in one or more programming languages (ideally Python).
Strong SQL (Presto, Spark SQL, etc) skills.
Familiarity with data visualization tools (Looker, Tableau, etc).
Great communication skills and ability to democratize data through actionable insights and solutions.

Bonus points:

Passion for working and learning in a fast-growing company.

Our team is committed to providing an inclusive and welcoming interview experience for all candidates. If you require a specific accommodation during the application or interview process due to a physical or mental condition, please complete this Applicant Accommodation Form to notify our team. The form should only be completed if you need a specific accommodation.

In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits.

Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected base pay range for this role is based on the location where the work will be performed.

Base Pay Range:

Toronto, ON

$166,000 - $195,000 CAD

Click here to learn more about our Total Rewards, which vary by region and entity.

If our mission energizes you and you’re ready to build the future of finance, we look forward to seeing your application.

AI Usage Disclosure: Robinhood uses artificial intelligence (AI) tools to support parts of our recruiting process. These tools enhance the efficiency and consistency of our hiring process; however, all hiring decisions are made by our hiring teams.

Robinhood provides equal opportunity for all applicants, offers reasonable accommodations upon request, and complies with applicable equal employment and privacy laws. Inclusion is built into how we hire and work - welcoming different backgrounds, perspectives, and experiences so everyone can do their best. Please review the Privacy Policy for your country of application.

Apply About employer

More about this job

Responsibilities

You will build and maintain foundational datasets and scalable data pipelines to support decision-making across the company. Additionally, you will partner with engineering and business teams to design intuitive data models and promote data engineering best practices.

Requirements

The role requires a degree in Computer Science or a relevant field, along with 2-4 years of experience in data engineering. Candidates must possess expertise in Python, SQL, and open-source data frameworks like Spark.

Skills

Python
Spark
Airflow
SQL
Data engineering
Data modeling
Data pipelines
Hadoop
Presto
Spark SQL
Looker
Tableau
Analytical skills
Problem solving
Communication skills

Benefits

Bonus opportunities
Equity
Health benefits

Visa sponsorship

Not detected in the job text

Keywords

Software Developer
Data Engineering
Python
Spark
Airflow
Hadoop
SQL
Presto
Spark SQL
Looker
Tableau
Data Lake
Data Modeling
Data Pipelines
Analytics
Machine Learning
Finance
Metrics Driven
Engineering
Product Optimization

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