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Added 9 mins ago
Media Planner
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Toronto, ON
Understanding of media across digital channels and analytics reports
Added 9 mins ago
T
Senior Manager, Advanced Analytic, Insurance Model Validations (Quants)
TD
Toronto, ON
- Full-time
Analytics, Insights, & Artificial Intelligence
Added 9 mins ago
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Manager, Advanced Analytic, Insurance Model Validations (Quants)
TD
Toronto, ON
- Full-time
Analytics, Insights, & Artificial Intelligence
Added 9 mins ago
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Audit Manager II ( Business Intelligence Engineering)
TD
Toronto, ON
- Full-time
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Data Scientist I (Quants) – Insurance Model Validation
TD
Toronto, ON
- Full-time
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Added 9 mins ago
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Senior Manager, Data Science – Marketing Measurement & Analytics
TD
Toronto, ON
- Full-time
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Added 9 mins ago
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Cloud Software Engineer
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Toronto, ON · UNAVAILABLE, Ontario
- Full-time
Proactive System Observability: Utilize big data analytics platforms like Databricks to monitor and analyze consumer data patterns, proactively catching anomalies and systemic bugs before…
Added 9 mins ago
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Senior Forward Deployed Specialist
McKesson
Mississauga, ON
- Full-time
Added 9 mins ago
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Gestionnaire, Planification Média
DAC
Montreal, QC
- Full-time
Added 9 mins ago
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Presale Marketing Consultant
Manulife
Waterloo, ON · Montreal, QC
- Full-time
We use data and analytics technologies, such as artificial intelligence (AI), and automated processing tools, to analyze and process the information you provide to us or third parties in…
Added 9 mins ago
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Strategic Marketing Manager
Manulife
Toronto, ON · Waterloo, ON · Montreal, QC
- Full-time
Added 9 mins ago
Staff FullStack Engineer, Secures AI
Okta
Toronto, ON
Prior experience leading a team of engineers through a meaningful shift in ways of working - whether around AI adoption, developer tooling, or engineering culture change.
Added 9 mins ago
CI
Student Intern, Aerospace and Defense, Material Pricing and Product Data
Celestica International LP
Toronto, ON
- $24 to $30 CAD / hour
Added 9 mins ago
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GIS Analyst
DNV
Montreal, QC
- Full-time
Are you excited by how Geospatial data, analytics, automation, and AI-enabled tools can improve decisions and accelerate a sustainable energy transition?
Added 9 mins ago
AM
DSP Applications Engineer
Advanced Micro Devices, Inc
Ottawa, ON
- Full-time
Added 25 mins ago
Senior AI Engineer
Guidepoint
Toronto, ON
Added 25 mins ago
PC
Project Support Office Senior Associate
Pwc Canada
Toronto, ON
- Full-time
Added 25 mins ago
PC
Transaction Services Senior Associate - Financial Services (Bilingual FR/EN)
Pwc Canada
Vancouver, BC · Toronto, ON · Montreal, QC
- Full-time
…working capital and analysis of debt and debt-like items. Data analytics tools will be utilized to drive efficiencies in data processing and analysis, and to present data…
Added 40 mins ago
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Senior Solutions Engineer
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Montreal, QC
- Full-time
Added 40 mins ago
Test Automation Lead
Freedom Mobile
Toronto, ON
Added 40 mins ago
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AVP, Deal Pricing, Methodology & Proposition
Pacific Life Re
Toronto, ON
- Full-time
Added 40 mins ago
JI
Information Management Specialist
J.D. Irving, Limited
Dartmouth, NS
- Full-time
Added 40 mins ago
Senior Manager, HR Business Partner (Technology)
Scotiabank
Toronto, ON
Data-Driven Strategic Advisory: Leverage workforce analytics, AI-enabled insights, and business acumen to drive informed workforce decisions. Anticipate future capability needs, optimize…
Added 55 mins ago
TG
Analyst, Market Insights Intern
TMX Group
Toronto, ON
- $25 to $29 CAD / hour
- Full-time
The Analyst, Market Insights Intern will be part data-scientist and part developer, with a keen curiosity about business. In this role, the Analyst will work at the intersection of business…
Added 55 mins ago
T
Senior Audit Manager, (Business Intelligence & Analytics)
TD
Toronto, ON
- Full-time
Analytics, Insights, & Artificial Intelligence

Robinhood

Software Developer, Data Engineering

Toronto, ON, Canada

$166,000 - $195,000 CAD

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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.

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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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