Senior Data Engineer

Toronto, ON
On-site
Posted Oct 10, 2026
1 position

$180,000–$220,000 / year

Opens an external site

Employment type: Full-time
Experience level: Senior · 5+ years
Minimum education: Bachelor’s degree
Posting language: English
Working hours: 40 hours per week

Job summary

You will design, build, and maintain scalable data pipelines while developing applications to support customer-facing products and internal systems. Additionally, you will enhance blockchain reporting infrastructure and empower data consumers through self-service tools.

Job details

BitGo (NYSE: BTGO) is the digital asset infrastructure company delivering custody, wallets, staking, trading, financing, stablecoins, and settlement services from regulated cold storage. Since 2013, BitGo has focused on accelerating the transition of the financial system to a digital asset economy. BitGo maintains a global presence and multiple regulated entities, including BitGo Bank & Trust, National Association, the first federally chartered digital asset trust bank owned by a publicly traded company. Today, BitGo serves thousands of institutions, including many of the industry's top brands, financial institutions, exchanges, and platforms, and millions of investors worldwide. For more information, visit www.bitgo.com. This role will require being full-time onsite in our Toronto office to support collaborative team dynamics and innovative problem-solving. BitGo is seeking a skilled Senior Data Engineer to join our Data Engineering team and help build, scale, and optimize our data platform, reporting infrastructure, and data-driven products. The ideal candidate has a strong track record as both a Software Engineer —developing and scaling applications that support our product suite — and a Data Engineer — designing and implementing robust data infrastructure to move and transform data efficiently. At BitGo, Data Engineering plays a critical role in enabling insights and innovation. You will be responsible for developing and maintaining the platform that makes data accessible and actionable for other engineering and product teams, empowering them with the tools and frameworks needed to seamlessly integrate data into their products. You'll collaborate closely with talented engineers, analysts, data scientists, product managers, and security experts across multiple domains, gaining exposure to all facets of our business. This is a unique opportunity to contribute to a high-impact team at the forefront of digital asset security and financial technology. Responsibilities: Design, build, and maintain scalable, reliable data pipelines that collect, transform, and curate data from internal systems. Integrate select external data sources to enrich the data platform. Develop applications that support customer-facing products and internal systems. Enhance and expand BitGo’s blockchain reporting infrastructure and automated reconciliation systems. Ensure high data quality and auditability across all pipelines. Optimize data systems for near real-time processing and insights. Develop and customize self-service tools, empowering data consumers to efficiently extract and analyze data from BitGo’s large-scale data platform. Research, evaluate, and prototype new technologies to drive continuous improvement in data engineering. Skills & Experience: We are looking for teammates who share and practice our values: open communication, transparency, taking ownership, and a high level of craftsmanship. We are looking for coworkers who share our vision and mission: delivering trust in digital assets. Required Engineering degree in Computer Science or equivalent 6+ years of combined Software Engineering AND Data Engineering work experience Strong experience with server-side languages like TypeScript/Node.JS/Python Strong experience with SQL databases like Postgres or MySQL Strong experience with RESTful API design Experience building data pipelines/ETL and familiarity with design principles Experience with data warehouse technologies and relevant data modeling best practices (Snowflake, BigQuery, Spark, Presto, Druid, etc) Strong experience with systems design and event driven systems (Kafka) A self-starter capable of adapting quickly and being decisive Experience with unit and functional testing and debugging Experience with microservices and service-oriented architectures Experience in Git/GitHub and branching methodologies, code review tools, CI tools, JIRA, Confluence, etc. Ability to work independently in a fast-paced environment Comfortable with inclusion in on-call rotations for system support Effective written and verbal communication skills Preferred Experience in Financial Services and/or Financial Technology Understanding and strong interest in cryptocurrencies and blockchain industry Experience with large-scale, real-time, and distributed applications Experience with data governance, handling PII, data masking Why Join BitGo? Disrupting an industry takes vision, innovation, passion, technical chops, drive to deliver, collaboration, and execution. Join a team of great people who strive for excellence and personify our corporate values of ownership, craftsmanship, and open communication. We are looking for new colleagues who bring innovative ways of thinking and problem-solving, and who want risks to be part of the team that changes the world’s financial markets. Benefits may vary based on location. Pay Transparency Notice: Depending upon your leveling and location, the compensation for this role averages between $180,000 and $220,000 CAD base salary. Equity, an annual performance bonus, and the benefits outlined above are also part of this role’s package. Cryptocurrencies are the most disruptive change the financial services industry has seen in years. Join us and you'll be able to look back and say you were part of the team that transformed investing.

What you’ll do

Requirements

Candidates must have an engineering degree in Computer Science and at least 6 years of combined software and data engineering experience. Proficiency in server-side languages, SQL databases, and data warehouse technologies is required.