Spark Scala Java Developer

Pacer Group; Toronto; Hybrid; CAD 83,000 - 85,000; Part time

Benefits offered by this job

Hybrid work schedule

Job summary

Pacer Group is seeking a contract Data Engineer in Toronto, Ontario. This hybrid role (4 days a week) focuses on data processing with Scala, Java, and Apache Spark. The position runs for 6–12 months with a pay rate of CAD 60–62 per hour. Proficiency in Spark, Hadoop, and CI/CD Helios is preferred, along with Maven, Git, and Spring Boot. OA policy compliance applies.

We welcome qualified applicants under the BFSI domain, with equal opportunity employment. Application deadline is Sept. 30, 2026.

Qualifications

• Proficient in Scala/Java with Spark data processing.
• Experience with Hadoop ecosystem and SQL queries.
• Hands-on Spark Core/SQL/DataFrames/Datasets experience.

Skills

Scala

Java

Apache Spark

Maven

Git

CI/CD Helios

Hadoop

Spring Boot

SQL

Tools

Apache Spark

Spring Boot

Hadoop

Maven

Git

CI/CD Helios

Job description

Work Arrangement: Hybrid (4 days a week)

Employment Type: Contract

Duration: 06-12 Months

Pay Rate: CAD 60-62/hour Incorporated

Domain: BFSI

Application Deadline: Sept. 30th, 2026

SKILLS REQUIRED:

Proficient in Scala and Java programming.Hands-on experience with Apache Spark (Core| SQL| DataFrames| Datasets).Familiarity with Maven for build and dependency management.Experience with version control systems (e.g.| Git).Strong problem-solving and analytical skills.Knowledge of Hadoop ecosystem.Working experience in CI/CD| Helios.Experience in writing Spring boot Webservices| and SQL queries.The ideal candidate will have experience developing data processing applications using Apache Spark and Scala.

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.