{"id":3480281,"url":"https://alion.io/job/robinhood-software-developer-data-engineering","title":"Software Developer, Data Engineering","company":{"id":1146,"name":"Robinhood","domain":"robinhood.com","url":"https://alion.io/company/robinhood","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":83,"open_postings":43,"ghost_share":0.047,"stale_share":0.558,"repost_share":0.047,"time_to_fill_p50_days":40,"computed_at":"2026-11-02T06:13:15Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Toronto, Canada"],"countries":["CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":79000,"max_usd":141000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":90},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Hadoop","optional":false},{"name":"Looker","optional":false},{"name":"Machine Learning","optional":false},{"name":"Presto","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false}],"status":"live","first_seen_at":"2024-01-23T00:26:13Z","employer_posted_date":"2026-10-29","last_verified_at":"2026-11-03T02:00:32Z","board_verified":true,"closed_at":null,"days_open":1015,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":1014},"description":"Join us in building the future of finance.\nOur 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.\nAbout the team + role \nWe’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. \nRobinhood 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.\nThe 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.\nWhat you’ll do \nHelp define and build key datasets across all Robinhood product areas. Lead the evolution of these datasets as use cases grow.\nBuild scalable data pipelines using Python, Spark and Airflow to move data from different applications into our data lake.\nPartner with upstream engineering teams to enhance data generation patterns.\nPartner with data consumers across Robinhood to understand consumption patterns and design intuitive data models.\nIdeate and contribute to shared data engineering tooling and standards.\nDefine and promote data engineering best practices across the company.\nWhat you bring\nCS background or any other relevant fields of study.\nStrong product mindset\n4+ years of experience and a Bachelors degree or 2+ years and a Masters degree \nExperience building high-quality data solutions\nStrong analytical and problem solving skills.\nExpertise building data pipelines using open source frameworks (Hadoop, Spark, etc)\nExpertise in one or more programming languages (ideally Python).\nStrong SQL (Presto, Spark SQL, etc) skills.\nFamiliarity with data visualization tools (Looker, Tableau, etc).\nGreat communication skills and ability to democratize data through actionable insights and solutions.\nBonus points:\nPassion for working and learning in a fast-growing company.\nOur 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.\nIn addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits.\nBase 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.\nBase Pay Range:\nToronto, ON\n$166,000—$195,000 CAD\nClick here to learn more about our Total Rewards, which vary by region and entity.\nIf our mission energizes you and you’re ready to build the future of finance, we look forward to seeing your application.\nAI 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.\nRobinhood 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. 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