Big Data Engineer

Toronto, ON
Hybrid
Posted Sep 9, 2026
1 position

$60–$64 / hour

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Employment type: Contract
Experience level: Senior · 5+ years
Posting language: English
Working hours: 40 hours per week
Office presence: 3 days per week
Seniority: Mid-Senior level
Application method: Direct apply is available

Job summary

The role involves engineering big data solutions within the BFSI domain. The candidate will utilize the Hadoop ecosystem and Spark to manage and process large datasets.

Job details

Job Title: Big Data Engineer Location: Toronto, Ontario Work Arrangement: Hybrid(3 days onsite in a week) Employment Type: Contract Duration: 12+ Months Domain: BFSI Experience: 7+ Years Rate: CAD$60-64/hr Application Deadline: Sep 15th, 2026 SKILLS REQUIRED PySpark Apache Spark (Spark SQL, DataFrames) Apache Kafka Hadoop Ecosystem (HDFS, Hive, YARN) Apache NiFi SQL Python EEOC Compliance: We are an equal opportunity employer, and all qualified applicants will receive consideration for employment. DISCLAIMER AI Usage Policy: Pacer Group uses AI to assist in screening applications. Final hiring decisions are made by human recruiters based on qualifications and experience.

What you’ll do

The role involves engineering big data solutions within the BFSI domain. The candidate will utilize the Hadoop ecosystem and Spark to manage and process large datasets.

Requirements

Requires over 7 years of experience with a strong proficiency in PySpark, Kafka, and the Hadoop ecosystem. Expertise in SQL and Python is essential for this contract position.