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

Business Systems Analyst/Data Engineer

Toronto, ON · On-site +1

  • Medical

  • Life

  • Retirement

The Role We're looking for a Business Systems Analyst / Data Engineer to combine strong business ... Comprehensive Benefits Coverage - 100% company-paid health, life, and disability insurance ...

Senior Data Engineer

Mississauga, ON · On-site

CA$130K - CA$140K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

As a Senior Data Engineer , you will ensure scalable and efficient data systems by addressing ... Life Insurance * Health Spending Account * Employee Support and Mental Wellness * Competitive ...

Data Engineer (PySpark)

Mississauga, ON · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Life and disability insurance * Employee assistance programs * Other benefits as provided by local ... engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data ...

Data Engineer (PySpark)

Mississauga, ON · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Life and disability insurance * Employee assistance programs * Other benefits as provided by local ... engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data ...

Senior Data Engineer

Toronto, ON · On-site

CA$75K - CA$141K/yr

  • Medical

  • Life

  • Retirement

Technology About the team Data and AI Technology (DAT) Engineering supports BMO's Digital-First ... BMO also offers health insurance, tuition reimbursement, accident and life insurance, and ...

Data Engineer (Java + PySpark)

Mississauga, ON

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Data Warehousing, Cloud Computing, and programming languages such as Java, Spark and Python ... Life and disability insurance * Employee assistance programs * Other benefits as provided by local ...

New

Data Scientist

Toronto, ON

CA$82K - CA$154K/yr

  • Medical

  • Life

  • Retirement

Work with data engineer to do data ETL. * Uses data mining and extracting usable data from valuable ... BMO also offers health insurance, tuition reimbursement, accident and life insurance, and ...

Data Scientist

Markham, ON · On-site

CA$80K - CA$120K/yr

  • Medical

  • Retirement

We're not just about insurance; we're about making a real difference by protecting what matters most. The Opportunity Join an exciting team of data scientists and engineers at the forefront of using ...

Data Scientist

Toronto, ON · On-site

CA$80K - CA$120K/yr

  • Medical

  • Retirement

We're not just about insurance; we're about making a real difference by protecting what matters most. The Opportunity Join an exciting team of data scientists and engineers at the forefront of using ...

Senior Specialist, Data

Toronto, ON · Hybrid

CA$92K - CA$142K/yr

  • Retirement

  • PTO

Actively contribute to the design of new and innovative data products for Commercial Insurance ... Working with business and engineering team on test planning, test case creation, documentation, and ...

Senior Data Scientist

Toronto, ON · Remote

  • Medical

  • Dental

  • PTO

We work with innovators across many industries, including lending, fintech, banking, insurance, and ... Our Data Engineering function owns the shared data platform and serving infrastructure you build on ...

Showing results 21-40

Insurance Data Engineer information

What is an insurance data engineer?

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.
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:
Infographic showing various Insurance Data Engineer job openings in Toronto, ON as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 21% Part Time, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.

Business Systems Analyst/Data Engineer

Capco

Toronto, ON • On-site, Remote

Full-time

Medical, Life, Retirement

Re-posted 4 days ago


Job description

The Role

We're looking for a Business Systems Analyst / Data Engineer to combine strong business analysis expertise with hands-on data engineering capabilities. In this role, you'll work with stakeholders to understand business and data requirements while designing and delivering enterprise data, reporting, and analytics solutions using modern cloud technologies.

You'll collaborate with cross-functional teams throughout the project lifecycle, helping transform complex business requirements into scalable, high-quality data solutions that drive informed decision-making.

What You'll Do

  • Partner with business stakeholders to gather, analyse, and document business, functional, and data requirements for enterprise reporting and analytics solutions.
  • Design, develop, and maintain scalable data pipelines using AWS data services and Snowflake, integrating data from multiple enterprise source systems.
  • Perform data profiling, validation, reconciliation, and quality assurance activities to ensure data accuracy, integrity, and consistency across reporting and analytics platforms.
  • Produce source-to-target mappings, data models, technical specifications, and support system integration testing, user acceptance testing, and production deployments.
  • Collaborate within Agile delivery teams, working closely with solution architects, developers, and QA professionals while contributing to continuous improvement initiatives.

What We're Looking For

  • Proven experience (5+ years) as a Business Systems Analyst, Data Engineer, or in a hybrid Data BSA/Data Engineering role with strong business and technical analysis skills.
  • Demonstrated experience building and supporting data pipelines using AWS data services and Snowflake.
  • Advanced SQL expertise with hands-on experience developing ETL/ELT pipelines, data modelling, data warehousing, and enterprise data reporting solutions.
  • Excellent analytical, communication, stakeholder management, and problem-solving skills with experience working in Agile delivery environments.
  • A collaborative mindset with the ability to translate business requirements into scalable, reliable data and reporting solutions.

Bonus Points For

  • Experience with Tableau for enterprise reporting and data visualisation.
  • Experience delivering enterprise reporting and analytics solutions within large, complex organisations.
  • Knowledge of modern cloud-based data architectures and data engineering best practices.
  • Experience working across cross-functional business and technology teams.
  • Financial services industry consulting experience.

Why Join Capco

  • Deliver high-impact technology solutions for Tier 1 financial institutions.
  • Work in a collaborative, flat, and entrepreneurial consulting culture.
  • Access continuous learning, training, and industry certifications.
  • Be part of a team shaping the future of digital financial services.
  • Help shape the future of digital transformation across Financial Services & Energy.

Benefits

  • Comprehensive Benefits Coverage - 100% company-paid health, life, and disability insurance effective from Day 1 of employment.
  • Retirement Savings Program - RRSP with the option of receiving a matching employer contribution.
  • Virtual Health Care, Employee & Family Assistance Program (EFAP), and enhanced parental leave benefits available from Day 1.
  • Wellness support including fitness reimbursement and a company-sponsored gift to celebrate the arrival of a new child.
  • Business Coach from Day 1 with personalized one-on-one coaching to accelerate your professional growth.

Inclusion at Capco

We're committed to making our recruitment process accessible and straightforward for everyone. If you need any adjustments at any stage, just let us know-we'll be happy to help. We value each person's unique perspective and contribution. At Capco, we believe that being yourself is your greatest strength. Our #BeYourselfAtWork culture encourages individuality and collaboration-a mindset that shapes how we work with clients and each other every day.

Use of Artificial Intelligence in Talent Acquisition

At Capco, we use artificial intelligence (AI) tools to support and enhance several parts of talent acquisition. This includes using AI-enabled features within LinkedIn to help source potential candidates, speeding up routine recruitment communications such as emails and creating compelling and brand-aligned job postings that accurately reflect role requirements, and AI-scheduling applications to improve the efficiency of interview coordination.

AI is used as a support tool only. All hiring decisions are made by talent acquisition and hiring teams.

Why This Role Is Open

We are currently hiring for this role due to an existing or newly created vacancy within our organization. This position is open as part of our ongoing business needs, and we are actively reviewing applications to fill this role with a qualified candidate who can make an immediate impact.


Capco logo

About Capco

Sourced by ZipRecruiter

Industry

Guided missile and space vehicle manufacturing

Company size

201 - 500 Employees

Headquarters location

Grand Junction, CO, US

Year founded

1958