Software Developer, Data Engineering

Coinsquare; Toronto; On-site; CAD 166,000 - 195,000; Full time

Benefits offered by this job

Bonus opportunities

Equity

Benefits

Job summary

Robinhood in Toronto is seeking a data engineering professional to help define and build key datasets across product areas. You will lead scalable data pipelines using Python, Spark and Airflow to move data into our data lake and collaborate with upstream engineering to improve data generation.

You will partner with data consumers to understand usage, design intuitive data models, and contribute to shared tooling and standards.

Qualifications

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

Responsibilities

• Define and build datasets across Robinhood product areas and evolve them as use cases grow.
• Build scalable data pipelines with Python, Spark and Airflow into the data lake.
• Collaborate with upstream engineering to improve data generation patterns.
• Partner with data consumers to design intuitive data models and understand usage.
• Contribute to shared data engineering tooling and standards.
• Promote data engineering best practices across the company.

Skills

CS background or related field

Strong product mindset

Analytical problem solving

Python programming

SQL proficiency (Presto, Spark SQL)

Excellent communication

Education

Bachelor's degree in CS or related field

Master's degree in CS or related field

Tools

Python

Spark

Airflow

Hadoop

Looker

Tableau

Presto

Spark SQL

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.

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 Range

Toronto, ON

$166,000—$195,000 CAD

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.