Senior Claims Data Engineer (remote)

North American Search Group; Canada; Remote; CAD 105,000 - 125,000; Full time

Job summary

North American Search Group is seeking a Senior Claims Data Engineer to drive data platform modernization from a remote location in Canada. You will help migrate to Snowflake and support the Qlik environment, while ensuring robust data quality and governance.

You will design and optimize scalable ETL/ELT pipelines, model data for analytical datasets, and collaborate with claims operations, analytics, and actuarial teams to translate business needs into robust data solutions.

Qualifications

• 3+ years in data engineering, analytics, or a related role.
• Proficient in Python and SQL with experience in complex data models.
• Hands-on experience with cloud data warehouses and ETL/ELT pipelines.

Responsibilities

• Modernize data platform by migrating to Snowflake and supporting Qlik.
• Design, optimize, and automate scalable ETL/ELT pipelines and datasets.
• Apply best practices for data modeling, performance, and cost-efficient Snowflake architecture.
• Collaborate with claims operations, analytics, and actuarial teams to translate business needs into data solutions.

Skills

Python

SQL

Job description

Senior Claims Data Engineer (remote)

41217

Non-Life - Data Engineer - Canada - 2 days ago

Responsibilities

• Data Platform Modernization: Evolve the claims data ecosystem by driving the migration to Snowflake and supporting the Qlik environment.
• Pipeline Development: Design, optimize, and automate scalable ETL/ELT data pipelines and analytical datasets.
• Architecture & Governance: Apply best practices for data modeling, performance optimization, and cost-efficient architecture within Snowflake.
• Cross-functional Collaboration: Partner with claims operations, analytics, and actuarial teams to translate business needs into robust data solutions.

Qualifications

• Experience: Minimum 3 years in data engineering, analytics, or a related technical role.
• Technical Stack: Proficient in Python and SQL with experience handling complex data models.
• Cloud & ETL: Hands-on experience with cloud data warehouses and building/debugging ETL/ELT pipelines.

Salary

• 105-125k