Databricks Engineer – Long Term Contract

Client: Leading Insurance Client
Engagement: Long-term Contract
Work Model: Hybrid (2 days per week onsite)
Location: GTA (Greater Toronto Area)
Rate: Competitive hourly rate

Role Overview

We are looking for an experienced Databricks Engineer to support a large-scale data platform initiative for a leading insurance client. This role focuses on building scalable, high-performance data pipelines using Databricks and Spark technologies, with strong emphasis on ingestion frameworks and cloud-based processing.

Key Responsibilities

· Design, develop, and optimize data pipelines using Databricks

· Build and maintain PySpark / Spark jobs for large-scale data processing

· Develop reusable data ingestion frameworks (batch and incremental)

· Collaborate with architects, analysts, and business stakeholders

· Ensure data quality, performance tuning, and pipeline reliability

· Provide support for production data workflows and enhancements

Required Skills & Experience





· Strong hands-on experience with Databricks

· Proficiency in PySpark and Apache Spark

· Experience building scalable data ingestion frameworks

· Solid understanding of ETL / ELT and large data volumes

· Working knowledge of AWS cloud services

· Strong SQL and troubleshooting skills

Nice to Have

· Experience in insurance or financial services domain

· Exposure to lakehouse or modern data platform architectures

· Familiarity with CI/CD pipelines for data engineering

Why Join

· Long-term, secure contract

· Attractive hourly compensation

· Enterprise-scale insurance data environment

· Hybrid flexibility within the GTA

Job Type: Fixed term contract
Contract length: 12 months

Pay: $75.00-$95.00 per hour

Expected hours: 37.5 per week

Work Location: Hybrid remote in Toronto, ON M5G 1Z5

📌 Senior Data Engineer ( Data Bricks) (Toronto)
🏢 Dyna Info Services
📍 Toronto