Senior Data Engineer
10 hours ago
Founded in 2014, League is the leading healthcare consumer experience (CX) platform, powered by artificial intelligence (AI), reaching more than 63 million people around the world and delivering the highest level of personalization in the industry. Payers, providers, and consumer health partners build on League's platform to deliver high-engagement healthcare solutions proven to improve health outcomes. League has raised over $285 million in venture capital funding to date, powering the digital experiences for some of healthcare's most trusted brands, including Highmark Health, Manulife, Medibank, and Shoppers Drug Mart.
Position Summary
As a Senior Data Engineer, you will focus on the data services / software development element of building personalized & data driven healthcare data products and pipelines that power our League platform. You will help architect, improve on and support a highly available, secure and governed data platform. Examples of data services include API endpoints, production microservices, and backend tools.
In this role, you will work as part of a small multi-disciplinary team to establish and evangelize a data driven culture. This team will not only work with the product team closely but will also support non-engineering functions like Marketing and Business Strategy.
To thrive in this role, you are someone who works well in cross-functional teams and enjoys collaborating. Furthermore, you understand the business impact of your work and enjoy measuring and presenting it. You enjoy working with product management and other stakeholders to find the best solution to the problem at hand, iterate over it and can balance technical complexity with delivering customer value.
Our platform and applications run on Google Cloud. You will be working on building microservices for real-time and batch processes, machine learning pipelines, and mission critical data services. You will have an opportunity to experiment with new frameworks and paradigms, and freedom to put cutting-edge tech in production to shape the future of digital health
In this role, you will:
- Be a subject matter expert in League's production data services which range from Cloud Functions to software built in the backend.
- Utilize a variety of distributed computing platforms and tools to build scalable & data pipelines & services.
- Drive architectural choices and data platform tools.
- Translate business needs into data and analytics requirements, with attention to detail.
- Be part of an on-call rotation to analyze, tune, troubleshoot and support League's data infrastructure ensuring the performance, integrity, and security of data.
- Use sound agile development practices (testing and code reviewing, etc.) to develop and deliver data products.
- Guide and mentor data engineers.
About you:
- Minimum 5 years experience in software development or data engineering
- Experience in python and/or GoLang, bonus if in the context of serverless infrastructure.
- Experience working with Cloud Infrastructure - preferably GCP.
- Experience in implementing deployments, CICD, error handling and monitoring for scalable pipelines.
- Experience in performing root cause analysis of production issues, performance tuning and optimization.
- Ability to articulate tradeoffs of technical decisions and influence stakeholders.
- Ability to weigh in on roadmap and articulate opinion on areas of investment for the team
- Nice-to-haves
- Experience in orchestration tools like Airflow.
- Experience in developing real time and batch pipelines.
- Experience in data modeling, data governance and data discovery tools.
- Experience in healthcare datasets like EMR and Claims and interoperability standards like FHIR.
Security-Related Responsibilities
- Compliance with Information Security Policies
- Compliance with League's secure coding practice
- Responsibility and accountability for executing League's policies and procedures
- Notification of HR, Legal, Compliance & Security of any incidents, breaches or policy violations
CANADA APPLICANTS ONLY: The Canada-specific compensation range below for this full-time position is exclusive of bonus, equity and benefits. This range reflects the minimum and maximum target for base salaries for the position across all Canadian locations. The salary range is intentional to account for the performance and career progressions a Leaguer will experience in the role throughout their time at League. Where in the band you may land is determined by job-related skills/experience. Your recruiter can share more about the specific salary range specific to your skills and experience during the hiring process.
Compensation range for Canada applicants only $136,000—$166,200 CAD Our employees come from different backgrounds, and we celebrate those differences. We are looking for the best candidates for our open roles, but do not expect applicants to meet every qualification in order to be considered. If you are excited about what you could accomplish at League and believe you can add value to our team, we would love to hear from you.We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you are an individual in need of assistance at any time during our recruitment process, please contact us at
Our Application Process:
Applying to a role you love can be exhausting, and understanding the next steps can feel vague and uncertain. You have done the hard part of submitting your application; let's do ours by sharing potential next steps
- You should receive a confirmation email after submitting your application.
- A recruiter (not a computer) reviews all applications at League.
- If we see alignment with League's needs, a recruiter will reach out to learn more about your goals. The recruiter will also share the team-specific interview process depending on the roles you are exploring.
- The final step is an offer, which we hope you will accept
- Prior to joining us, we conduct reference and background checks. Additional checks could be required for US Candidates, depending on the role you are exploring.
- Learn about our platform, leadership team and partners
- Highmark Health, Google Cloud, League: new digital front door to seamless care
- Former Providence President and Workday EVP of Corporate Strategy join League Board of Directors
- League raises $95 million USD in Series C to build world's leading healthcare CX platform
- Forbes x League: The Platformization Of Healthcare Is Here
- Fast Company x League: If we want better innovations in healthtech, we need more competition
Work Location:
We have a mix of office-centric roles based in our vibrant Toronto office, and remote-eligible roles based anywhere in Canada or US. Each job posting will indicate where the role will be based. Regardless of the role's posted location, all Toronto-area Leaguers (living within 65 km of our downtown HQ) collaborate in-office Monday through Thursday. Depending on your distance to the office, you'll enjoy 10 or 20 Flexible Remote Days each quarter for focus and deep-work time. We are committed to fostering a meaningful work environment and connections for all Leaguers regardless of location.
Recognize and Avoid Employment scams. Practice safe job searching.
Scammers are getting craftier and leveraging fake job postings to get personal information. Know the warning signs and protect yourself from scammers. Learn more here.Use of AI Notice
We are committed to ensuring fairness and transparency throughout our hiring process. League may use Artificial Intelligence (AI) tools to assist in the screening of applicants for this position. Please check out our stance on using AI in recruitment here.
Privacy Policy
Review our Privacy Policy for information on how League is protecting personal data.
-
Principal Data Engineer
10 hours ago
Toronto, Ontario, Canada JamLabs Data Science Full timeAbout the CompanyWhy JamLabs? At JamLabs, we're not just another data consultancy. We're a Toronto-based firm founded by leading engineers and data scientists, with deep roots in capital markets and cloud engineering. Our mission is to transform data into strategic assets for financial services firms, driving growth and innovation through tailored...
-
Senior Data Engineer
10 hours ago
Toronto, Ontario, Canada Tangerine Full timeRequisition ID: 239426Tangerine is Canada's leading direct bank. We offer flexible and accessible banking options, innovative products, and award-winning Client service. The reason why Tangerine employees come to work each day is to help Canadians live better lives. We focus on making a difference in our communities, and that includes our own internal...
-
Senior Data Engineer
10 hours ago
Toronto, Ontario, Canada Vanguard Canada Full timeWe are looking for a Sr Data Engineer with in-depth expertise in AWS, Databricks, and modern data architecture and data modeling to help build the next generation of our data foundation, including data platforms such as Advisor360, CRM integrations, ETF/MF data pipelines, and other enterprise analytics assets.This is a senior, highly autonomous role. You...
-
Senior Data Engineer
5 days ago
Toronto, Ontario, Canada Investment Management Corporation of Ontario (IMCO) Full timeAt IMCO, our talent is among the best IMCO offers a uniquely stimulating and rewarding environment where you can help build and drive organizational transformation, all while seeking to challenge yourself, learn, and grow your career.Our culture is built on collaboration and passion, with a shared commitment to delivering lasting value to the clients we...
-
Senior Data Engineer
10 hours ago
Toronto, Ontario, Canada Marqeta Full timeAs Marqeta's Senior Data Engineer, you will join our Risk, Fraud and Disputes Engineering Team. In this cross-functional and strategic role, you will own the design and development of scalable, reliable data assets that drive real-time fraud detection, dispute operations, and regulatory reporting. You will be instrumental in bridging data engineering with...
-
Senior Data Engineer
4 days ago
Toronto, Ontario, Canada Odaia Intelligence Full timeSenior Data Engineer ABOUT ODAIAODAIA nouno·da·ia | 'oh-day-yeah An Ancient Greek word referring to "tools of the trade."To learn more visit ODAIA is a remote first organization, all our positions are WFH with frequent company and team based socials, events and meetings in-person and virtually. ODAIA works with pharma commercial teams to grow their...
-
Senior Finance Data Engineer
10 hours ago
Toronto, Ontario, Canada Opendoor Full timeAbout the Team:As a Senior Finance Data Engineer at Opendoor, you will join the Finance team reporting to the President of Opendoor with a mandate to 10x our data leverage across Finance. This is a high-impact IC role at the intersection of data architecture, AI engineering, and financial systems.Opendoor has adopted a "Default to AI" philosophy—if AI can...
-
Senior Data Engineer
10 hours ago
Toronto, Ontario, Canada CircleCI Full timeAbout The RoleWe're looking for a Sr. Data Engineer to shape the future of our data platform. You'll architect scalable systems, set technical direction, and build the frameworks that enable our data organization to operate at scale. This is a high-leverage role where your work multiplies the effectiveness of the entire team.What You'll DoPlatform...
-
Senior Data Architect
10 hours ago
Toronto, Ontario, Canada Galent Full timeWe have an immediate opening for aSenior Data Architectwith a leading IT Service Consulting company inToronto, Ontario, Canada .Senior Data ArchitectLocation : Toronto, CanadaPosition : FulltimeJD:Senior Data Architect – GCP Role OverviewWe are seeking a visionary and hands-on Senior Data Architect with 10+ years of experience to lead the design and...
-
Data Engineer, Loyalty Data
5 days ago
Toronto, Ontario, Canada Canadian Tire Corporation, Ltd. Full timeWhat you'll doWe are seeking a motivated Data Engineer to join the CTC Triangle Program - Loyalty Data Product Engineering team, reporting to the Engineering Manager. This team leverages a broad range of data technologies and analytical techniques to design, develop, and automate data pipelines and processes consumed across the organization both analytically...