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

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 ...

Senior Data Engineer

Toronto, ON · On-site

CA$75K - CA$141K/yr

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

AWS Data Engineer

Toronto, ON

CA$75K - CA$141K/yr

S3, Glue, Lambda, Redshift, Aurora * 5+ years with Programming (Python/Pyspark) - * 5+ years with ... 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 ...

... insurance provider in the world? Look no further than Zurich Canada. If you have experience with data engineering, data science, ML engineering, and data platforms, working in a Python, SQL, and ...

This role combines data engineering expertise with analytical acumen, requiring you to work ... You'll need strong problem-solving skills, expertise in mutual fund and market-based insurance ...

This role combines data engineering expertise with analytical acumen, requiring you to work ... You'll need strong problem-solving skills, expertise in mutual fund and market-based insurance ...

This role combines data engineering expertise with analytical acumen, requiring you to work ... You'll need strong problem-solving skills, expertise in mutual fund and market-based insurance ...

This role combines data engineering expertise with analytical acumen, requiring you to work ... You'll need strong problem-solving skills, expertise in mutual fund and market-based insurance ...

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 ...

Apply Early

We are seeking a Big Data Developer to build and enhance realtime and batch fraud analytics AML ... Life and disability insurance * Employee assistance programs * Other benefits as provided by local ...

Data Architect

Toronto, ON · Hybrid

CA$128K - CA$147K/yr

This is a hands-on senior engineering role that blends deep SQL and modeling expertise with product ... Competitive, equitable salary with top-tier health benefits, dental, and vision insurance * Hybrid ...

Data Analyst

Toronto, ON

CA$55K - CA$95K/yr

Work closely with data engineers to validate ETL/transformation rules. * Stakeholder Collaboration ... insurance coverage, wellness programs, life and disability insurance, retirement savings plans ...

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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 Engineer

Senior Data Engineer

Royal Bank of Canada

Mississauga, ON • On-site

Full-time

Posted 19 days ago


Job description

Job Description

What is the opportunity?

Join RBC Insurance Online Experience squad to design and maintain enterprise data solutions for our customer data platform and online analytics. You'll work with technology professionals delivering scalable analytics infrastructure for the Insurance business and our clients. We embrace Agile development, DevOps, and modern cloud-native tools. This role offers the opportunity to make a real difference by architecting data pipelines, optimizing ETL processes, and enabling analytics that directly impact RBC's success. You'll partner across IT and business lines to solve complex data challenges while building resilient, high-performance systems that serve RBC staff and clients.

What will you do?

  • Understand and support our Tealium Customer Data Platform (CDP) and Amplitude analytics tooling.

  • Build and optimize ETL/ELT pipelines to ingest, transform, and load data from multiple sources

  • Utilize enterprise data warehouse platforms, including Snowflake and Teradata solutions.

  • Develop and maintain data models, dimensional schemas, and data transformation logic to support business intelligence and analytics

  • Implement data governance, quality checks, and performance tuning across warehouse environments

  • Collaborate with cross-functional teams including analytics, business stakeholders, and IT to ensure data availability and integrity

  • Troubleshoot and resolve technical issues related to data ingestion, transformation, and query performance

  • Develop and maintain comprehensive documentation of data architectures, lineage, and technical configurations

What do you need to succeed?

Must Have

  • 3+ years of experience in data engineering, data warehousing, or analytics with focus on enterprise platforms

  • Strong hands-on experience with Snowflake and/or Teradata, including data modeling, performance tuning, and system optimization

  • Knowledge of CDP and online analytics tools and concepts

  • Proficiency in SQL and at least one programming language (Python, Java, or Scala)

  • Experience designing and implementing ETL/ELT processes and data pipelines

  • Strong understanding of data governance, data quality, security, and compliance principles

  • Proven problem-solving skills with ability to troubleshoot complex technical issues

Nice to Have

  • Experience with cloud platforms (AWS, Azure, or Google Cloud) and modern data stack tools

  • Familiarity with agile development methodologies and version control systems (e.g., Git)

  • Snowflake or Teradata certifications

  • Familiarity with Salesforce applications including Salesforce Financial Services cloud and Salesforce Marketing cloud.

  • Demonstrated adaptability, critical thinking skills, and a growth mindset

What's in it for you?

  • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable

  • Leaders who support your development through coaching and career opportunities

  • Ability to make a difference and create lasting impact. Work in a dynamic, collaborative, progressive, and high-performing team

  • A world-class training program in financial services Flexible work/life balance options

  • Opportunities to do challenging work

  • Opportunities to take on progressively greater accountabilities

  • Opportunities to building close relationships

  • Access to a variety of job opportunities across business and geographies

#LI-Post

#TechPJ

Job Skills

Cloud Computing, Data Architecture Development, Database Development, Data Mining, Data Modeling, Data Pipelines, Data Warehousing (DW), ETL Processing, Extract Transform Load (ETL), Group Problem Solving, Quality Management, Requirements Analysis

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:

2026-06-22

Application Deadline:

2026-07-31

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