1

Insurance Data Engineer Jobs in Toronto, ON (NOW HIRING)

Guide engineering and data science teams during build and deployment. * Resolve technical blockers ... Azure AI services), ideally within financial services and/or insurance. * Strong understanding of ...

Collaborate with data engineering teams to design scalable data models and workflows * Partner with ... as insurance plans, retirement plans, wellbeing resources and global recognition programs. In ...

Data Analyst

King, ON ยท Hybrid

... or Engineering, and demonstrates proven experience with BI tools and data visualization platforms. You'll need strong problem-solving skills, expertise in mutual fund and market-based insurance ...

Data Analyst

King, ON ยท Hybrid

... or Engineering, and demonstrates proven experience with BI tools and data visualization platforms. You'll need strong problem-solving skills, expertise in mutual fund and market-based insurance ...

... or Engineering, and demonstrates proven experience with BI tools and data visualization platforms. You'll need strong problem-solving skills, expertise in mutual fund and market-based insurance ...

You will work closely with data scientists, AI engineers and data engineers to move AI solutions ... insurance coverage, wellness programs, life and disability insurance, retirement savings plans ...

AI Developer (REMOTE)

Toronto, ON ยท Remote

CA$84K - CA$146K/yr

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with ... Engineer, test, and optimize prompts to improve response accuracy, consistency, contextual ...

AI Developer (REMOTE)

Toronto, ON ยท Remote

CA$84K - CA$146K/yr

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with ... Engineer, test, and optimize prompts to improve response accuracy, consistency, contextual ...

Stay current with emerging technologies and practices across data engineering, machine learning ... Azure AI services), ideally within financial services and/or insurance. * Strong understanding of ...

next page

Showing results 1-20

Insurance Data Engineer information

How much do insurance engineers make?

Insurance data engineers typically earn a median salary ranging from $80,000 to $120,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in data pipelines, cloud platforms, and programming languages like Python or SQL can command higher salaries. Compensation may also include benefits such as bonuses and professional development opportunities.

What engineers make $500,000?

Senior data engineers, including those working in specialized fields like insurance data engineering, can earn $500,000 or more annually, especially with extensive experience, advanced skills in cloud platforms, and leadership roles. High compensation is often associated with seniority, complex data systems, and working in competitive markets or large organizations.

What are Insurance Data Engineers?

Insurance Data Engineers are professionals who design, build, and maintain data systems that support the needs of insurance companies. They are responsible for collecting, organizing, and processing large amounts of data from various sources to enable accurate risk assessment, pricing, claims analysis, and regulatory compliance. Their work helps insurers make data-driven decisions, improve efficiency, and enhance customer experiences by leveraging modern data technologies.

What are the key skills and qualifications needed to thrive as an Insurance Data Engineer, and why are they important?

To thrive as an Insurance Data Engineer, you need strong expertise in data modeling, ETL processes, and a solid understanding of insurance data structures, typically supported by a degree in computer science, data engineering, or a related field. Proficiency with SQL, Python, big data platforms (like Hadoop or Spark), and experience with cloud data solutions such as AWS or Azure are commonly required, along with certifications like AWS Certified Data Analytics or Google Cloud Data Engineer. Excellent problem-solving, communication, and collaboration skills help you bridge technical and business needs while ensuring data quality. These abilities are essential for building robust data pipelines and enabling accurate data-driven decision making within insurance organizations.

What is the difference between Insurance Data Engineer vs Data Analyst in the insurance industry?

AspectInsurance Data EngineerData Analyst
Required CredentialsBachelor's in Computer Science, Data Engineering certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentDevelops data pipelines, manages databases, works with big data toolsInterprets data, creates reports, visualizes insights
Employer & Industry UsageInsurance companies, tech firms in insuranceInsurance firms, consulting agencies, analytics companies

Insurance Data Engineers focus on building and maintaining data infrastructure, while Data Analysts interpret data to provide insights. Both roles are essential in the insurance industry but serve different functions in data management and analysis.

How does an Insurance Data Engineer typically collaborate with actuarial and underwriting teams?

Insurance Data Engineers work closely with actuarial and underwriting teams to ensure that the data infrastructure supports accurate risk assessment and pricing models. They often translate business requirements from these teams into technical specifications, build data pipelines to source and clean relevant data, and assist in implementing predictive analytics tools. Regular communication and collaboration are essential, as data engineers help bridge the gap between raw data and actionable insights for decision-making. This teamwork not only streamlines workflow but also enables continuous improvement of insurance products and customer experience.

Is AI replacing data engineers?

AI is transforming the role of data engineers by automating routine tasks such as data cleaning and integration, but it does not replace the need for skilled professionals to design, manage, and oversee data infrastructure. Data engineers are essential for building scalable data pipelines, ensuring data quality, and implementing AI solutions effectively. Their expertise remains critical in managing complex data environments and integrating AI tools into business processes.

What engineers make 300,000 a year?

Senior data engineers, including those working in specialized fields like insurance data engineering, can earn $300,000 or more annually, especially with extensive experience, advanced skills in SQL, Python, cloud platforms, and certifications. High-level roles often involve leadership, complex data architecture, and strategic decision-making, typically in large organizations or with specialized expertise.
What are popular job titles related to Insurance Data Engineer jobs in Toronto, ON? For Insurance Data Engineer jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Insurance Data Engineer jobs in Toronto, ON look for? The top searched job categories for Insurance Data Engineer jobs in Toronto, ON are:

Senior Data & AI Solution Architect

Manulife

Toronto, ON โ€ข Hybrid

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago


Job description

The Senior Data & AI Solution Architect is accountable for designing and governing end-to-end data and AI solutions that translate business requirements into secure, scalable, and production-ready architectures. This role operates as the hands-on architecture authority across the solution lifecycle, driving design decisions, defining solution blueprints, resolving trade-offs, and guiding engineering and data science teams through implementation. The architect ensures solutions are aligned with enterprise standards, regulatory expectations, and operational readiness, while enabling the delivery of modern data platforms, analytics, and AI/GenAI use cases.

Position Responsibilities:
Solution Architecture Ownership

  • Design end-to-end data and AI solutions (data pipelines, analytics, ML/GenAI use cases).
  • Produce HLDs/LLDs, define NFRs (scalability, performance, security, cost).

Architecture Decisioning

  • Lead design decisions and trade-offs (e.g., batch vs streaming, cost vs performance).
  • Review and approve solution designs aligned with enterprise standards.

Delivery & Implementation Support

  • Guide engineering and data science teams during build and deployment.
  • Resolve technical blockers and ensure production readiness.

Applied Data & AI Patterns

  • Implement patterns for ingestion, lakehouse, ML pipelines, and GenAI (RAG, vector search).
  • Enforce MLOps/LLMOps (versioning, evaluation, monitoring).

Azure Solution Design

  • Architect solutions leveraging Azure (ADLS, Databricks, Synapse/Fabric, Azure ML/OpenAI).
  • Define CI/CD and IaC-based deployment patterns.

Integration & Data Governance

  • Design API, data contracts, and event-driven architectures.
  • Ensure data quality, lineage, and interoperability.

Security & Responsible AI

  • Embed security, privacy, and AI governance controls (model risk, guardrails).

Operational Readiness

  • Define monitoring, observability, and cost optimization strategies.


Required Qualifications:

  • 5+ years of experience in data/analytics architecture, with 3+ years designing AI/ML solutions in production (GenAI experience strongly preferred).
  • Bachelor's degree in computer science, Engineering, Information Systems, Data/AI, or a related field. Master's degree preferred.
  • Proven experience architecting on Azure across data and AI services (e.g., Data Lake/Databricks/Synapse/Fabric as applicable; Azure AI services), ideally within financial services and/or insurance.
  • Strong understanding of data governance, data modeling, integration, metadata management, and privacy/security controls; able to extend these practices to AI/GenAI governance.
  • Strong architecture leadership skills: drive decisions, manage trade-offs, and influence across teams while maintaining delivery focus.
  • Excellent communication and stakeholder management skills, with the ability to translate complex data/AI concepts for technical and non-technical audiences.
  • Experience with modern engineering practices (IaC, CI/CD), and with MLOps/LLMOps concepts such as model/prompt versioning, evaluation, monitoring, and deployment patterns.
  • Relevant certifications in Azure (Architecture/Data/AI) are a plus.

Preferred Qualifications:
Hands-on experience implementing:

  • RAG architectures
  • Vector databases / semantic search
  • Prompt orchestration frameworks

Experience with:

  • Lakehouse architectures and data products
  • Domain-driven/data mesh environments

Familiarity with:

  • Model risk management
  • Responsible AI frameworks in regulated industries
  • Azure certifications (Solutions Architect, Data Engineer, AI Engineer).

When you join our team:

  • We'll empower you to learn and grow the career you want.
  • We'll recognize and support you in a flexible environment where well-being and inclusion are more than just words.
  • As part of our global team, we'll support you in shaping the future you want to see.

#LI-Hybrid

The role being advertised is an existing vacancy.

About Manulife and John Hancock

Manulife Financial Corporation is a leading international financial services provider, helping people make their decisions easier and lives better. To learn more about us, visit https://www.manulife.com/en/about/our-story.html.

Manulife is an Equal Opportunity Employer

At Manulife/John Hancock, we embrace our diversity. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention, advancement and compensation, and we administer all of our practices and programs without discrimination on the basis of race, ancestry, place of origin, colour, ethnic origin, citizenship, religion or religious beliefs, creed, sex (including pregnancy and pregnancy-related conditions), sexual orientation, genetic characteristics, veteran status, gender identity, gender expression, age, marital status, family status, disability, or any other ground protected by applicable law.

It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will work with applicants who request a reasonable accommodation during the application process. All information shared during the accommodation request process will be stored and used in a manner that is consistent with applicable laws and Manulife/John Hancock policies. To request a reasonable accommodation in the application process, contact hr@manulife.com.

Referenced Salary Location

Toronto, Ontario

Working Arrangement

Hybrid

Salary range is expected to be between

$113,000.00 CAD - $163,000.00 CAD

Employees also have the opportunity to participate in incentive programs and earn incentive compensation tied to business and individual performance. The actual salary will vary depending on local market conditions, geography and relevant job-related factors such as knowledge, skills, qualifications, experience, and education/training. If you are applying for this role outside of the primary location, please contact hr@manulife.com for the salary range for your location.

Manulife offers eligible employees a wide array of customizable benefits, including health, dental, mental health, vision, short- and long-term disability, life and AD&D insurance coverage, adoption/surrogacy and wellness benefits, and employee/family assistance plans. We also offer eligible employees various retirement savings plans (including pension and a global share ownership plan with employer matching contributions) and financial education and counseling resources. Our generous paid time off program in Canada includes holidays, vacation, personal, and sick days, and we offer the full range of statutory leaves of absence. If you are applying for this role in the U.S., please contact hr@manulife.com for more information about U.S.-specific paid time off provisions.

We use data and analytics technologies, such as artificial intelligence (AI), and automated processing tools, to analyze and process the information you provide to us or third parties in the application process. For more information, please refer to our personal information collection statement.