Recherche d'emploi > Toronto, ON > Software developer

Software Developer, Data Engineering

Robinhood
Toronto, ON
75 $-85 $ / heure (estimé)
Temps plein

Join a leading fintech company that's democratizing finance for all.

Robinhood Markets was founded on a simple idea : that our financial markets should be accessible to all. With customers at the heart of our decisions, Robinhood and its subsidiaries and affiliates are lowering barriers and providing greater access to financial information.

Together, we are building products and services that help create a financial system everyone can participate in.

With growth as the top priority...

The business is seeking curious, growth-minded thinkers to help shape our vision, structures and systems; playing a key-role as we launch into our ambitious future.

If you're invigorated by our mission, values, and drive to change the world - we'd love to have you apply.

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.

What we offer

  • Market competitive and pay equity-focused compensation structure
  • 100% paid health insurance for employees with 90% coverage for dependents
  • Annual lifestyle wallet for personal wellness, learning and development, and more!
  • Lifetime maximum benefit for family forming and fertility benefits
  • Dedicated mental health support for employees and eligible dependents
  • Generous time away including company holidays, paid time off, sick time, parental leave, and more!
  • Lively office environment with catered meals, fully stocked kitchens, and geo-specific commuter benefits

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.

We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT.

As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on September 19, 2024.

Please see the independent bias audit report covering our use of Covey here.

Click here to learn more about available Benefits, which vary by region and Robinhood entity.

We're looking for more growth-minded and collaborative people to be a part of our journey in democratizing finance for all.

If you're ready to give 100% in helping us achieve our mission-we'd love to have you apply even if you feel unsure about whether you meet every single requirement in this posting.

At Robinhood, we're looking for people invigorated by our mission, values, and drive to change the world, not just those who simply check off all the boxes.

Robinhood embraces a diversity of backgrounds and experiences and provides equal opportunity for all applicants and employees.

We are dedicated to building a company that represents a variety of backgrounds, perspectives, and skills. We believe that the more inclusive we are, the better our work (and work environment) will be for everyone.

Additionally, Robinhood provides reasonable accommodations for candidates on request and respects applicants' privacy rights.

Please review the specific Robinhood Privacy Policy applicable to the country where you are applying.

Il y a 14 jours
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