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

Data Engineer

Toronto, ON · Hybrid

CA$100K - CA$140K/yr

The Opportunity ShyftLabs is seeking a skilled Data Engineer to support in designing, developing ... Comprehensive Benefits: 100% coverage for health, dental, and vision insurance for you and your ...

Teladoc Health serves the world's leading insurers, employers, and health systems and helps ... The Data Engineer works closely with analytics, operations, IT, data governance, and AI ...

We are officially hunting for our next Data Engineer in Vaughan, ON-someone ready to bring fresh ... Employee Assistance Program, life insurance, and paid time-off Financial: RRSP matching, profit ...

As a Data Engineer on the SCC team, you will have ownership over the data modeling and pipelines ... Extended health and dental coverage options, along with life insurance and disability benefits

Lead Data Engineer

Toronto, ON · On-site

CA$75K - CA$141K/yr

Data Analytics & Reporting We are seeking a Lead Data Engineer with strong ETL and Application ... BMO also offers health insurance, tuition reimbursement, accident and life insurance, and ...

Data Engineer

Toronto, ON · Hybrid

CA$119K - CA$161K/yr

What your team does: Our growing data engineering team is driven to deliver an incredible ... Competitive, equitable salary with top-tier health benefits, dental, and vision insurance * Hybrid ...

Associate, Data Engineer

Toronto, ON · On-site

CA$90K - CA$120K/yr

We leverage the latest data engineering and analytics technologies to solve complex business ... BMO also offers health insurance, tuition reimbursement, accident and life insurance, and ...

Data Engineer

Toronto, ON · On-site

CA$61K - CA$113K/yr

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

Toronto, ON · Hybrid

CA$61K - CA$113K/yr

Hybrid (minimum 2 days per week in office) About the team Data and AI Technology (DAT) Engineering ... BMO also offers health insurance, tuition reimbursement, accident and life insurance, and ...

Data Engineer

Toronto, ON · Hybrid

CA$61K - CA$113K/yr

Hybrid (minimum 2 days per week in office) About the team Data and AI Technology (DAT) Engineering ... BMO also offers health insurance, tuition reimbursement, accident and life insurance, and ...

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

Toronto, ON

CA$61K - CA$113K/yr

Data security. * Machine learning. * Computational thinking and programming. * Deep learning ... BMO also offers health insurance, tuition reimbursement, accident and life insurance, and ...

Principal Data Engineer

Toronto, ON · On-site

CA$94K - CA$176K/yr

Data architecture design and modeling, AI Engineering, Data Engineering * Hands-on Coding (Python ... BMO also offers health insurance, tuition reimbursement, accident and life insurance, and ...

Sr Data Engineer

Mississauga, ON · On-site

CA$80K - CA$130K/yr

RBC Insurance, through its operating entities, provides a wide range of travel, life, health, home ... Experience with Data Warehouse design and Data Modelling * Computer Science or Engineering degree ...

Senior Data Engineer

Toronto, ON · On-site

CA$69K - CA$119K/yr

A successful data engineering candidate will demonstrates a deep understanding of database concepts ... insurance coverage, wellness programs, life and disability insurance, retirement savings plans ...

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Showing results 1-20

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.

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 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.

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 89% Physical, 1% Hybrid, and 10% Remote job distribution.

Senior Data Engineer - Insurance Data Services

Mississauga, ON • On-site

Royal Bank of Canada
Banking and Credit Intermediation • 10K+ employees

Full-time

Posted 10 days ago


Job description

Job Description

What is the opportunity?

This individual partners across various IT groups to assess, research, and resolve system issues and develop new technology solutions that meet sponsor/stakeholder needs. Context is application support plus several concurrent enhancements and small to medium size development projects. The technology portfolio consists of Spark, BigData, HQL, Lynux,Python, SQL , JCL Windows server environment. Adaption to Ai. Knowledge of using AI tools like Copilot, Claude etc are a must

What will you do?

  • Performing analysis Utilizing AI tools on structured, unstructured, and semi-structured raw data, utilizing programming skills to standardize and organize data Provides services on new initiatives of small to medium complexity.

  • Supporting project team leveraging Ai tools to scale, monitor and operate data platforms for a very high availability, high performing, and regulatory supporting application.

  • Supports Big data, DataStage and IDP ETL, Web Focus/Tableau reports and extracts.

  • Develops and supports Spark, Trino in support of Tableau reporting to Support Big Data on Cloudera platform Integrating AI.

  • Monitor and act on incident tickets and service requests.

  • Develops and supports Python, Spark, HQL and SQL, Snowflake Jobs.

  • Adaption of AI to solutioning and product delivery .

  • Create production change records to deploy code for project or on behalf of other teams.

  • Contributes to successful project completion by identifying risks and developing/recommending mitigation strategies.

  • A team member, providing direction, expertise, feedback, coaching and development to build the capability of more junior staff.

  • Continually enhances skills and builds knowledge on platform data technologies.

  • May require off hour support, pager rotation.

What do you need to succeed?

Must-haves:

  • working experience with Datalake, Spark, Scala, Hive Databases and SQL language.

  • Working experience with ETL and reporting concept.

  • Working knowledge of Windows environment.

  • Working knowledge of Python/Spark/Shell scripting.

  • IT Standards, Methodologies, SDLC, Information Security & audit requirements.

  • Knowledge on creating formal written deliverables and other documentation and ensure design, code and documents are aligned with enterprise direction, principles and standards.

  • Bachelors Degree in Computer Science.

Nice-to-have:

  • Working knowledge of JCL/Zeke/OMS.

  • Working knowledge of ServiceNow Incident and Change Management.

  • Working knowledge of Helios/Github for Source Code Management.

  • Working knowledge of Reporting

  • Insurance industry knowledge

What's in it for you?

We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

  • A comprehensive Total Rewards Program including bonuses and flexible benefits and competitive compensation

  • Leaders who support your development through coaching and managing opportunities

  • Work in a dynamic, collaborative, progressive, and high-performing team

  • Opportunities to do challenging work.

#LI-Post

#LI-PK

#TECHPJ

Job Skills

Big Data, Data Analysis, Database Development, Data Mining, Data Warehousing (DW), Design, Documentations, ETL Processing, GitHub, Group Problem Solving, Python (Programming Language), Quality Management, Requirements Analysis, Software Development Life Cycle (SDLC), Structured Query Language (SQL)

Additional Job Details

Address:

MEADOWVALE BUSINESS PARK, 6880 FINANCIAL DR:MISSISSAUGA

City:

Mississauga

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

TECHNOLOGY AND OPERATIONS

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2026-08-13

Application Deadline:

2026-08-31

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Our Employment Opportunities

At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.

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RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.

Employment Type: FULL_TIME