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

ShyftLabs

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 ...

GFL Environmental

Data Engineer

Vaughan, ON

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 ...

Rysun Labs Inc

Azure Data Engineer

Toronto, ON · On-site

CA$60/hr

Vision insurance Rysun Labs (formerly KCS - Krish Compusoft Services) is an AI, Data & Digital ... We are seeking a skilled Data Engineer to design, develop, and optimize scalable cloud-based data ...

Hibernian General Insurance

Senior Data Engineer

Markham, ON · On-site

CA$115K - CA$140K/yr

We're not just about insurance; we're about making a real difference by protecting what matters most. Aviva Canada is looking for a Senior Data Engineer to support our enterprise data modernization ...

BMO Capital Markets

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 ...

BMO Capital Markets

Data Engineer

Toronto, ON

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 ...

Ci

Data Engineer

Toronto, ON · On-site

CA$69K - CA$119K/yr

We are currently seeking a Data Engineer to join the Data and Analytics team in the Wealth ... insurance coverage, wellness programs, life and disability insurance, retirement savings plans ...

Lyft

Data Engineer, Pricing

Toronto, ON · On-site

As a Data Engineer on the Pricing team, you will help build the data foundation that powers Lyft ... Extended health and dental coverage options, along with life insurance and disability benefits

Sangoma

Analytics Engineer, Enterprise Data

Toronto, ON · Remote

Analytics Engineer, Enterprise Data See It. Build It. Own it. Sangoma is a global leader in ... Group Life - AD&D - Critical Illness Insurance * Paid Time Off Benefits * Work From Home - Flexible ...

New

Sangoma

AI Data Engineer

Toronto, ON · Remote

Senior AI Data Engineer - Enterprise Data Build It. Scale It. Own It. Sangoma is a global leader in ... Group Life - AD&D - Critical Illness Insurance * Paid Time Off Benefits * Work From Home - Flexible ...

Flinks

Senior Data Engineer

Toronto, ON · Remote

We work with innovators across many industries, including lending, fintech, banking, insurance, and ... The Role We're hiring our Senior Data Engineer (Data / ML Platform) to stand up data engineering as ...

Ci

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 ...

Synechron

Senior Data Engineer

Mississauga, ON · Hybrid

CA$105K - CA$120K/yr

Our challenge We are seeking a skilled Data Engineer with expertise in Databricks, Snowflake ... A comprehensive insurance plan including medical, dental, vision, life insurance, and long-term ...

Ci

Senior Data Engineer

Toronto, ON · On-site

CA$69K - CA$119K/yr

We are currently seeking for a Senior Data Engineer to join the Data and Analytics team in the ... insurance coverage, wellness programs, life and disability insurance, retirement savings plans ...

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All JobsInsurance Data Engineer JobsInsurance Data Engineer Jobs in Toronto, ON

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:
Insurance Data Engineer jobs near you
Infographic showing various Insurance Data Engineer job openings in Toronto, ON as of July 2026, with employment types broken down into 72% Full Time, and 28% Contract. Highlights an 82% In-person, and 18% Hybrid job distribution.

Data Engineer

ShyftLabs

Toronto, ON • Hybrid

CA$100K - CA$140K/yr

Full-time

Medical, Dental, Vision

Posted 20 days ago

Job description

About ShyftLabs

At ShyftLabs, we live and breathe data. Since 2020, we've been helping Fortune 500 companies unlock growth with cutting-edge digital solutions that transform industries and create measurable business impact. We're growing fast and we're looking for passionate problem-solvers who are ready to turn big ideas into real outcomes.


The Opportunity

ShyftLabs is seeking a skilled Data Engineer to support in designing, developing, and optimizing big data solutions using the Databricks Unified Analytics Platform. This role requires strong expertise in Apache Spark, SQL, Python, and cloud platforms (AWS/Azure/GCP). The ideal candidate will collaborate with cross-functional teams to drive data-driven insights and ensure scalable, high-performance data architectures.

What You'll Be Doing

  • Design, implement, and optimize big data pipelines in Databricks.

  • Develop scalable ETL workflows to process large datasets.

  • Leverage Apache Spark for distributed data processing and real-time analytics.

  • Implement data governance, security policies, and compliance standards.

  • Optimize data lakehouse architectures for performance and cost-efficiency.

  • Collaborate with data scientists, analysts, and engineers to enable advanced AI/ML workflows.

  • Monitor and troubleshoot Databricks clusters, jobs, and performance bottlenecks.

  • Automate workflows using CI/CD pipelines and infrastructure-as-code practices.

  • Ensure data integrity, quality, and reliability in all pipelines.

What You Bring

  • Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field.

  • 5+ years of hands-on experience with Databricks and Apache Spark.

  • Proficiency in SQL, Python, or Scala for data processing and analysis.

  • Experience with cloud platforms (AWS, Azure, or GCP) for data engineering.

  • Strong knowledge of ETL frameworks, data lakes, and Delta Lake architecture.

  • Experience with CI/CD tools and DevOps best practices.

  • Familiarity with data security, compliance, and governance best practices.

  • Strong problem-solving and analytical skills with an ability to work in a fast-paced environment.

Nice to Have

  • Databricks certifications (e.g., Databricks Certified Data Engineer, Spark Developer).

  • Hands-on experience with MLflow, Feature Store, or Databricks SQL.

  • Exposure to Kubernetes, Docker, and Terraform.

  • Experience with streaming data architectures (Kafka, Kinesis, etc.).

  • Strong understanding of business intelligence and reporting tools (Power BI, Tableau, Looker).

  • Prior experience working with retail, e-commerce, or ad-tech data platforms.

Salary Range
  • $100,000 - $140,000
Why You'll Love Working at ShyftLabs
Hybrid Flexibility: 3 days per week in our downtown Toronto office. This role is also open to candidates based out of the Calgary area.
Comprehensive Benefits: 100% coverage for health, dental, and vision insurance for you and your dependents from day one.
Growth & Learning: Continuous learning opportunities and influence over technical direction.
 
Inclusion at ShyftLabs
We're building something big, and we want you on the journey with us. If you're ready to use data and innovation to make an impact, apply today and let's grow together.
 
ShyftLabs is an equal-opportunity employer committed to creating a safe, diverse, and inclusive environment. We encourage applicants of all backgrounds including ethnicity, religion, disability status, gender identity, sexual orientation, family status, age, and nationality to apply. If you require accommodation during the interview process, let us know and we'll be happy to support you.
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