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Remote Healthcare Data Engineer Jobs in Toronto, ON

ODAIA is a remote first organization, all our positions are WFH with frequent company and team ... ODAIA works with pharma commercial teams to grow their brands and engage with the right healthcare ...

Environment * US-based remote working within PT/ET time zones with the potential for occasional ... We foster a service-oriented, highly collaborative environment where teamwork, care, and helping ...

Lead, Data Engineer

Mississauga, ON ยท On-site +1

CA$122K - CA$162K/yr

Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What ... Summary The Lead Data Engineer is a senior individual contributor within McKesson's Decision ...

Lead, Data Engineer

Mississauga, ON ยท On-site +1

CA$122K - CA$162K/yr

Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What ... Summary The Lead Data Engineer is a senior individual contributor within McKesson's Decision ...

This role is fully Remote in the United States or Canada, with occasional travel to NYC. What You ... Health, dental, and vision insurance * Pre-tax savings plans and transit/parking programs * 401K ...

Data Engineer

Toronto, ON ยท Remote

CA$140K - CA$190K/yr

Overview The Data Engineer on the Nebula team plays a critical role in building and evolving the ... This is a fully remote position that offers a competitive salary range of $140,000 to $190,000 USD ...

This role is fully Remote in the United States or Canada, with occasional travel to NYC. What You ... Health, dental, and vision insurance * Pre-tax savings plans and transit/parking programs * 401K ...

Lead, Data Engineer

Mississauga, ON ยท Remote

CA$122K - CA$162K/yr

Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What ... Summary The Lead Data Engineer is a senior individual contributor within McKesson's Decision ...

Remote Role Responsibilities * Use frontier AI coding agents to complete and evaluate complex data engineering tasks. * Review model-generated implementations involving ETL pipelines , data ...

Remote Role Responsibilities * Use frontier AI coding agents to complete and evaluate complex data engineering tasks. * Review model-generated implementations involving ETL pipelines , data ...

Lead Data Engineer

Toronto, ON ยท Remote

CA$220K - CA$260K/yr

The Lead Data Engineer heads a lean, high-caliber squad of data engineers, while remaining deeply ... This is a fully remote position that offers a competitive salary range of $220,000 to $260,000 USD ...

Our team is 100% distributed and remote. Responsibilities: * Design, build, and evolve the core ... Care of You: * Competitive Salary & Stock Options * Health Benefits * New Hire Home-Office Setup:

Senior Data Engineer - JLL What this job involves: As a Senior Data Engineer at JLL, you will ... Remote -Toronto, ON Opening Type: New Role If this resonates with you, we encourage you to apply ...

MP4 upto $90/hr INC Duration: 12 Months Hours of work: 35 Location: 889 Brock Road, Pickering (Hybrid - 4 days remote) Job Overview As a Senior Data Developer, you will be responsible for building ...

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Remote Healthcare Data Engineer information

What does a remote healthcare data engineer do?

A Remote Healthcare Data Engineer designs, builds, and maintains data systems that collect, store, and process healthcare data, all while working from a remote location. They ensure that large volumes of medical records, patient information, and other healthcare-related data are organized and secure. Their work supports healthcare providers and researchers in making data-driven decisions, improving patient outcomes, and ensuring compliance with privacy regulations. Remote Healthcare Data Engineers often collaborate with data scientists, analysts, and IT teams to create efficient and scalable data pipelines tailored to the unique needs of healthcare organizations.

What skills and qualifications are needed to thrive as a remote healthcare data engineer?

To thrive as a Remote Healthcare Data Engineer, you need expertise in data architecture, database management, and healthcare data standards, often supported by a degree in computer science or a related field. Familiarity with tools like SQL, Python, cloud platforms (e.g., AWS or Azure), and knowledge of healthcare-specific systems such as HL7 or FHIR is crucial. Strong problem-solving skills, attention to detail, and effective remote communication are standout soft skills in this role. These competencies ensure secure, accurate handling of sensitive health information and support effective data-driven decisions in healthcare organizations.

How does a remote healthcare data engineer collaborate with clinical and IT teams to ensure data accuracy and security?

Remote Healthcare Data Engineers frequently work cross-functionally with clinical staff, IT professionals, and data analysts to design, implement, and maintain secure data pipelines. They participate in virtual meetings to understand data requirements, clarify data definitions, and ensure compliance with healthcare regulations such as HIPAA. Collaboration tools and secure communication platforms are essential to share updates, resolve issues, and document workflows. This teamwork helps ensure that data is accurate, accessible, and protected, ultimately supporting improved patient outcomes and operational efficiency.

What is the difference between Remote Healthcare Data Engineer vs Remote Healthcare Data Analyst?

AspectRemote Healthcare Data EngineerRemote Healthcare Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related; experience with data pipelinesBachelor's in Statistics, Data Analysis, or related; proficiency in data visualization
Work EnvironmentDevelops data infrastructure, manages pipelines, collaborates with engineersInterprets data, creates reports, supports decision-making
Industry UsageDesigns data systems for healthcare organizations, research institutionsAnalyzes healthcare data for insights, reporting, and compliance
Common Search/ComparisonOften compared for technical roles in healthcare data managementRelated but focuses on analysis rather than infrastructure

The main difference is that Remote Healthcare Data Engineers build and maintain data systems and pipelines, while Remote Healthcare Data Analysts interpret data and generate reports. Both roles require healthcare industry knowledge, but engineers focus on data infrastructure, whereas analysts focus on data insights.

What are popular job titles related to Remote Healthcare Data Engineer jobs in Toronto, ON?

For Remote Healthcare Data Engineer jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Remote Healthcare Data Engineer jobs in Toronto, ON look for?

The top searched job categories for Remote Healthcare Data Engineer jobs in Toronto, ON are:

Infographic showing various Remote Healthcare Data Engineer job openings in Toronto, ON as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

Data Engineer

Odaia Intelligence Inc.

Toronto, ON โ€ข Remote

Full-time

Posted 26 days ago


Job description

Data Engineer 
ABOUT ODAIA
ODAIA noun o·da·ia | 'oh-day-yeah An Ancient Greek word referring to "ōdē", the word for song, and the root of melody, harmony, and orchestra. We chose it deliberately: the best commercial intelligence doesn't just inform — it orchestrates. 
To learn more visit odaia.ai.
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 brands and engage with the right healthcare professionals (HCPs) at the right time. ODAIA's SaaS AI platform turns complex data into personalized insights, enabling commercial teams to understand their customers - (HCPs), predict prescribing behaviors and make informed decisions that bring therapies to patients faster.
ODAIAns (what we call ourselves) are inspired to reinvent the future of how non-technical people leverage data in their day-to-day lives. We are passionate about solving complex problems in data, AI, engineering, design, and product, so our customers don’t have to. We live by the notion that “simplicity is the ultimate sophistication;” and making simplicity scalable is an even bigger challenge. That’s why we have a crazy talented team led by serial entrepreneurs, tech veterans, and life sciences experts.
To learn more visit  odaia.ai.
OUR MISSION
Reducing patients’ time to therapy by facilitating meaningful interactions with healthcare providers, through human-centric software powered by AI. 
We’re also on a mission to build an innovative, diverse, and ego-free business, where trust, innovation and ownership are valued. You’re on a mission too? We’re here for it. We put an emphasis on career development for our employees, and the opportunities to grow are extensive.
WHAT’S ON OFFER
Reporting to the Manager, Data Engineering and as a member of the Data Management team, the Data Engineer is passionate, curious and motivated to design and implement scalable solutions end-to-end.  This high-impact position focuses on key aspects of data management including fast and efficient data onboarding, and the initial bring up of customer data into our system. 
WHAT YOU WILL DO
  • Build scalable data infrastructure to support customer onboarding and implementation, enabling fast and efficient ingestion of customer data into ODAIA’s platform
  • Design and ship Claude-powered tools that reduce mean time to resolution (MTTR) for production incidents by automating error triage and fix proposals
  • Design and develop automation tools that streamline how implementation consultants configure and ingest new customer datasets
  • Solve complex data challenges by defining, prototyping, and implementing end-to-end data solutions in agile startup environment
  • Serve as a subject matter expert to internal teams and customers on data integration, architecture, and management best practices
  • Implement scalable ingestion pipelines leveraging AWS tools and services to manage high-volume customer data
  • Develop integrations with Veeva/Salesforce and other third-party data sources; contribute to proof-of-concept builds and internal applications
  • Design APIs and data models that enable internal data access and cross-system interoperability
  • Explore and onboard new data sources, designing warehouse schemas that improve analytics and product capabilities
  • Collaborate cross-functionally with product and engineering teams to align data systems with strategic objectives

WHAT YOU BRING
  • 3+ years in data engineering, building production grade data pipelines
  • Strong experience with AWS (ECS, S3, Lambda, DynamoDB, API Gateway, etc.) and Snowflake
  • Experience with Dagster or Airflow for orchestration and workflow management
  • Strong programming proficiency in Python
  • Experience building and optimizing complex data models utilizing DBT with a strong understanding of ETL processes
  • Solid understanding of data structures, algorithms, and database design, with expertise in performant SQL schema and query development
  • Familiarity with CI/CD and Test Driven Development in a production environment
  • Experience integrating with CRM systems (Veeva, Salesforce) and handling healthcare, pharmaceutical, or pharmacy-related datasets is a strong asset
  • Solid, demonstrated experience in AWS stack or an equivalent cloud platform
  • Background in modernizing data environments, migrating from legacy systems to cloud-native architectures
  • Collaborative and self-directed, able to manage projects independently, prioritize effectively, and adapt quickly to changing business needs
  • Excellent communication skills, capable of translating complex technical concepts for both technical and non-technical stakeholders

WHAT WE OFFER
Values-Based Culture
  • We Ignite Innovation, Own It, and Stand Together
AI-Native Environment
  • At ODAIA, we don't just deliver AI — we live it. We use AI and agentic automation to 10x our efficiency and impact, encouraging constant curiosity in leveraging and integrating AI
Comprehensive Rewards
  • Meaningful stock option grants, immediate medical/dental enrollment, and flexible time off
Remote-First Flexibility
  • WFH flexibility with intentional, high-value in-person collaboration and socials

LOCATION & BUSINESS TRAVEL
ODAIA is a remote first organization, with employees located across Canada and the U.S. Our primary office hub is located in central downtown Toronto, walking distance from Union Station.
EMPLOYMENT VERIFICATION
Any conditional offer of employment made to a successful candidate will be subject to the full satisfaction with the results of any background and reference checks.
JOB PROCESS & INTERVIEW DISCLOSURE
ODAIA does use artificial intelligence (AI) to review applications, filter or analyze resumes.
Our recruitment team may also use an AI-powered meeting assistant to record and transcribe interviews for note-taking purposes only. This tool helps our recruiters to be fully present during conversations with candidates who provide consent to this tool being used during an interview. This tool is used in compliance with privacy and employment laws across Canada and the U.S.
We respect the time candidates invest into participating in our recruitment process. ODAIA is committed to providing timely status updates on hiring decisions to all candidates following their final interview, in accordance with applicable employment laws.
Final compensation is determined through a comprehensive review of the successful candidate's unique skill set, specialized experience, certifications and other relevant considerations. As such, the final offer may vary based on these specific factors. Salary expectations will be discussed collaboratively early in the process to ensure alignment. This role is also eligible for health benefits, stock options, and flexible time off policies as mentioned above.
Position Status: Please note that this is an existing position and that this vacancy is related to a recent departure.
DIVERSITY, EQUITY & INCLUSION
ODAIA is an equal opportunity employer. We are committed to building an environment where everyone feels included, valued, respected and heard. We are committed to creating a diverse workplace, free from discrimination on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, parental status, veteran status, disability status or any other characteristics protected by local laws, regulations or ordinances.
ACCOMMODATIONS AND ACCESSIBILITY
Accommodations are available upon request. If you need assistance or accommodation due to a disability or special need at any stage of the recruitment process, please contact us at hr@odaia.ai 
 

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