Big Data Engineer

Pacer Group; Toronto; Hybrid; CAD 83,000 - 88,000; Part time

Job summary

Pacer Group in Canada is seeking an experienced data engineer for a 12+ month contract in a hybrid setup (3 days onsite per week) in Toronto. You will design and implement data pipelines using PySpark, Spark SQL, and Hadoop tools, collaborating with cross-functional teams.

Applicants should have 7+ years in big data environments, strong SQL and Python skills, and a track record delivering scalable data solutions. This role offers a competitive CAD hourly rate and a hybrid work model.

Qualifications

• 7+ years of experience in big data and analytics.
• Strong proficiency in PySpark and Spark SQL.
• Experience with Hadoop ecosystem and Hive.
• Strong SQL and Python skills.

Skills

PySpark

Apache Spark

Hadoop ecosystem

SQL

Python

Job description

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 30th, 2026

SKILLS REQUIRED

• PySpark
• Apache Spark (Spark SQL, DataFrames)
• Hadoop Ecosystem (HDFS, Hive, YARN)
• 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.