Data Engineer at Insurance Systems
Toronto, ON, Canada -
Full Time


Start Date

Immediate

Expiry Date

24 Oct, 25

Salary

0.0

Posted On

24 Jul, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Version Control, Data Engineering, Spark, Data Analytics, Sql, Microsoft Sql Server, Data Governance, Programming Languages

Industry

Information Technology/IT

Description

ABOUT US:

Founded in 1997, Insurance Systems Inc. (ISI) is a boutique software provider to the Property & Casualty insurance industry. Our insurance software suite, ISI Enterprise, was developed in-house by our dedicated team of software architects, developers, business analysts, and quality assurance analysts, with guidance from our phenomenal leadership team. Today, we have several successful implementations in the USA and Canada, and we are looking to expand our team.
At ISI, we pride ourselves on our strong corporate culture, work ethic, and the ability to find the right fit for our team. Working collaboratively, we consistently strive to exceed customer expectations while fostering an enjoyable and supportive working environment.

REQUIRED SKILLS & EXPERIENCE

  • 2 to 5 years of experience in data engineering or similar role .
  • Proficiency in data processing frameworks and programming languages (e.g., Python, SQL, Spark , psql , C# ).
  • Hands-on experience with relational database systems(e.g., PostgreSQL , Microsoft SQL Server ).
  • Hands-on experience with data integration tools like ETL/ELT.
  • Hands-on experience with developing pixel perfect reports using reporting tools (e.g., SAP Crystal Reports, Eclipse BIRT, Easy Reports, CX Reports, Mescius , Jasper Reports )
  • Hands-on experience with developing enterprise dashboards using data analytics and visualization tools (e.g., AWS QuickSight , Power BI, Tableau , GoodData, Qli kView, Looker )
  • Strong knowledge of data modeling techniques and data architecture principles .
  • Familiarity with cloud platforms (e.g., AWS, Azure, GCP).
  • Experience with data governance, quality, and security practices.
  • Experience using agile methodology principles and tools .
  • Effective communication and problem-solving skills.
    Comfortable working in a team environment.
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PREFERRED QUALIFICATIONS

  • Experience with data analytics and visualization tools.
  • Experience in Insurance/financial services.
    Knowledge of softwar e development lifecycle (SDLC) and version control.
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What We Offer :

  • Competitive salary and benefits package
  • Opportunities for professional growth and development, $1,250 per year in Professional development funding
  • Performance-based bonuses
  • Employee referral program
  • Flexible working arrangements
  • Summer-flex Fridays
  • Early closure before a Long Weekend
  • Wellness Program with exercise incentives
  • Collaborative and inclusive company culture

How To Apply:

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Responsibilities

As a Data Engineer , you will play a key role in building, optimizing , and maintaining data pipelines and systems that power insights and decision-making. You will work across teams to deliver high-quality data solutions and contribute to our data architecture while continuously improving processes and tools.

Your Responsibilities

  • Collaborate with cross-functional teams to understand project requirements and deliver effective data solutions.
  • Design, build, and maintain scalable data pipelines and integrations using ETL/ELT tools.
  • Develop and maintain data models and schemas to support business analytics.
  • Ensure data quality, security, and compliance with governance policies.
  • Support stakeholders by translating technical data into clear insights.
  • Develop and maintaindiverse types of reports and dashboards using company designated reporting and business intelligence tools .
  • Conduct or supp ort end-user training for deployed reports and dashboards .
  • Develop and maintain migration toolkits.
  • Support our customers with their data migration implementation projects.
  • Troubleshoot and resolve data-related issues, ensuring accuracy and completeness.

Mentor junior team members and contribute to a culture of continuous learning.
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