Data Engineer (Big Data)

Toronto, ON
Hybrid
Posted Sep 18, 2026
1 position

$60–$67 / hour

Opens LinkedIn

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 developing and managing big data pipelines using PySpark and Apache Spark. It focuses on real-time data streaming and integration within the BFSI domain.

Job details

Job Title: Data Engineer (Big data) Location: Toronto, ON Work Arrangement: Hybrid-3 Days onsite Employment Type: Contract Duration: 12 Months Domain: BFSI Pay Rate: CAD 60-67/hour Incorporated Application Deadline: Sep 30th, 2026 SKILLS REQUIRED Strong hands-on experience with PySpark and Apache Spark, including Spark SQL and DataFrames. Proficiency in Apache Kafka for real-time data streaming and integration. Strong knowledge of the Hadoop ecosystem, including HDFS, Hive, and YARN. Hands-on experience with Apache NiFi for data flow and integration. Strong SQL and Python programming skills. 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 developing and managing big data pipelines using PySpark and Apache Spark. It focuses on real-time data streaming and integration within the BFSI domain.

Requirements

Candidates must have strong hands-on experience with the Hadoop ecosystem, Apache Kafka, and Apache NiFi. Proficiency in SQL and Python programming is required.