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Added 13 days ago
BR
Java Software Engineer
Benchmark Recruitment
Vancouver, BC · Greater Vancouver Metropolitan Area
- $63 to $73 CAD / hour
- Contract
Job Title: Senior Java Backend Engineer – Cloud & Data
Added 13 days ago
A
Développeur(se) Java sénior
Astek
Montreal, QC
- Full-time
Expérience avec des pipelines de traitement de données distribués utilisant Apache Spark, Python et d'autres outils
Added 13 days ago
SS
Senior Java Consultant
Soho Square Solutions
Montreal, QC
- $50 to $70 CAD / hour
- Contract
Experience with distributed data processing pipelines using Apache Spark, Python, and other tools and languages
Added 13 days ago
TC
Software Engineering Intern
The Citco Group Limited
Toronto, ON
- Full-time
You have experience with some of the following technologies: Python, Java, Javascript, HTML, SQL and general web technologies.
Added 13 days ago
AS
Advanced Java Developer
Axelon Services Corporation
Montreal, QC
- $77.93 USD / hour
- Other
Experience with distributed data processing pipelines using Apache Spark, Python, and other tools and languages.
Added 13 days ago
AS
Senior Java Developer
Axelon Services Corporation
Montreal, QC
- $65.52 USD / hour
- Other
Experience with distributed data processing pipelines using Apache Spark, Python, and other tools and languages.
Added 16 days ago
JG
GCP Senior Data Engineer
J&M Group
Canada
- Contract
Technical: Proficiency in SQL, Python, Java/Scala, and distributed systems (Spark, Beam).
Added 16 days ago
WT
Data Engineer
Wissen Technology
Montreal, QC
- Full-time
…high‑performance data pipelines. The ideal candidate comes from a Java or Python backend background and has worked extensively with Apache Spark. Experience with Scala is a plus but not…
Added 16 days ago
K
Senior Backend Software Engineer – Data Platform
Kaseya
Toronto, ON
- $205,000 to $240,000 CAD / year
- Full-time
Added 16 days ago
KC
Senior Backend Software Engineer – Data Platform
Kaseya Careers
Toronto, ON
- $205,000 to $240,000 CAD / year
Added 17 days ago
RE
Full Stack Software Developer
Randstad Enterprise
Montreal, QC
- Full-time
We are seeking a self-driven, dedicated developer to build and test risk and compliance surveillance models in a fast-paced Agile environment. The position requires end-to-end technical…
Added 17 days ago
AS
Full Stack Software Developer
Axelon Services Corporation
Montreal, QC
- $68.97 USD / hour
- Other
Minimum 5 years of hands-on software development experience in the Java ecosystem.
Added 17 days ago
CS
Spark / Scala Developer
Confiar Services
Toronto, ON
- Contract
We are seeking an experienced Spark/Scala Developer with strong expertise in big data technologies, distributed processing, and capital markets. The ideal candidate will have hands-on…
Added 17 days ago
AS
Full Stack Software Developer
Axelon Services Corporation
Montreal, QC
- $65.52 USD / hour
- Other
Minimum 5 years of hands-on software development experience in the Java ecosystem.
Added 17 days ago
C
Big Data Developer
Cognizant
Toronto, ON
- $53,000 to $108,000 CAD / year
- Full-time
5+ years of experience designing and implementing data solutions using Big Data technologies such as Hadoop, Spark, and Hive.
Added 17 days ago
GM
Test Engineering, Data Engineering - Systems QA
General Motors
Oshawa, ON
- Full-time
Experience with data and analytics platforms such as Databricks, Apache Spark, or Apache Kafka.
Added 17 days ago
GM
Test Engineering, Data Engineering - Systems QA
General Motors
Markham, ON
- Full-time
Experience with data and analytics platforms such as Databricks, Apache Spark, or Apache Kafka.
Added 17 days ago
GM
Test Engineering, Data Engineering - Systems QA
General Motors
Oshawa, ON · Markham, ON
- Full-time
Experience with data and analytics platforms such as Databricks, Apache Spark, or Apache Kafka.
Added 17 days ago
G
Gen AI Developer
Galent
Halifax, NS
- Contract
Proficiency in SQL and distributed computing (Spark, distributed systems)
Added 18 days ago
T
Director, Data Platform Engineering
TD
Toronto, ON
- Full-time
Strong experience with Apache Spark, Delta Lake, a
Added 19 days ago
GS
Full Stack Software Developer
Gala Solutions
Montreal, QC
- Contract
5+ years of hands-on software development experience in the Java ecosystem.
Added 19 days ago
Java Developer
Capgemini
Montreal, QC
Exposure to big data technologies such as Apache Spark and Snowflake.
Added 19 days ago
Java Spark Developer
Capgemini
Montreal, QC
Build scalable backend services and distributed processing frameworks using Core Java and Apache Spark.
Added 19 days ago
Java Developer
Capgemini
Montreal, QC
Exposure to big data technologies such as Apache Spark and Snowflake.
Added 19 days ago
Java Developer
Capgemini
Montreal, QC
Exposure to big data technologies such as Apache Spark and Snowflake.

Benchmark Recruitment

Java Software Engineer

Vancouver, BC, Canada
Greater Vancouver Metropolitan Area, Canada

$63 to $73 CAD / hour · Contract

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Job details

Pay: $63 to $73 CAD / hour
Job type: Contract
Apply by: Nov 18, 2026
Posting language: English
Posted: Oct 19, 2026

Original job description

Job Title: Senior Java Backend Engineer – Cloud & Data

6-month contract | Onsite in the Greater Vancouver Metropolitan Area | Hourly Rate: $63-73/hour | Must hold a valid Canadian Work Visa

Our client, a global technology organization, is seeking a Senior Java Backend Engineer for a 6-month contract supporting a large-scale account and digital services platform. This is a 100% onsite position in Vancouver, BC, with an expectation of five days per week in the office.

The successful candidate will join a team responsible for the backend services and data infrastructure powering a large digital account ecosystem and its integrations across multiple applications and services. The environment is highly cloud-native, with a strong focus on backend engineering, data engineering, distributed systems, APIs, microservices, and service reliability.

This role combines senior-level backend development with hands-on data engineering. The ideal candidate brings strong Java or Kotlin expertise, experience building scalable cloud-native services, and practical knowledge of ETL/ELT pipelines, databases, event-driven architectures, and distributed data systems. Engineers will work closely with data engineering and platform teams to build reliable services and support seamless data movement between operational and analytical environments.

Responsibilities:

Design, develop, test, and maintain scalable backend services, APIs, and microservices within cloud-native environments
Develop high-quality backend applications primarily using Java/Kotlin and related technologies
Build and optimize data ingestion, transformation, and serving layers that integrate with backend applications and services
Design and support ETL/ELT pipelines and data workflows connecting operational and analytical systems
Collaborate closely with data engineering and platform teams to ensure reliable and efficient data movement across the environment
Design and implement event-driven architectures using technologies such as Kafka, Pub/Sub, SNS, and SQS
Work with relational databases such as PostgreSQL and MySQL, as well as NoSQL technologies including DynamoDB, Redis, and MongoDB
Develop and optimize complex SQL queries, including CTEs, window functions, and query performance optimization
Apply distributed systems principles, including data consistency, scalability, resiliency, and fault-tolerant design
Build and support containerized applications using Docker and Kubernetes
Develop and maintain services across cloud platforms, with a particular focus on GCP and Azure
Take ownership of service reliability, including monitoring, alerting, SLOs, troubleshooting, and incident response
Write clean, maintainable, well-documented code supported by comprehensive unit and integration testing
Participate in code reviews, architecture discussions, technical planning, and engineering design decisions
Contribute to improvements in CI/CD pipelines and infrastructure-as-code practices
Collaborate across backend, data, platform, and application teams to deliver scalable and reliable production services

Qualifications:

5+ years of professional backend software development experience, ideally with strong hands-on experience using Java and/or Kotlin
2+ years of hands-on data engineering experience, including building ETL/ELT pipelines, working with data warehouses, and/or designing data models
Strong experience designing and developing backend services, REST APIs, and microservices
Experience building applications within cloud-native environments, with GCP and Azure preferred; AWS experience is also relevant
Strong experience with relational databases such as PostgreSQL or MySQL and NoSQL technologies such as DynamoDB, Redis, or MongoDB
Advanced SQL skills, including CTEs, window functions, and query optimization
Strong understanding of distributed systems, data consistency patterns, scalability, and fault-tolerant architecture
Hands-on experience with Docker and Kubernetes
Familiarity with data processing and orchestration technologies such as Spark, Flink, dbt, or Airflow
Experience with event-driven and streaming architectures using technologies such as Kafka or Pub/Sub is preferred
Familiarity with modern data lake architectures and technologies such as Apache Iceberg, Delta Lake, or Apache Hudi is an asset
Experience with domain-driven design and event sourcing is an asset
Experience developing APIs for mobile applications, including efficient pagination, payload optimization, and offline synchronization patterns, is an asset
Familiarity with FCM, APNs, and mobile-backend integration patterns is an asset
Experience with gRPC and Protobuf for high-performance service communication is an asset
Exposure to infrastructure-as-code technologies such as Terraform, CDK, or Pulumi is an asset
Strong understanding of software testing, code quality, CI/CD, monitoring, and production service reliability
Strong communication and collaboration skills with the ability to work effectively across backend, data engineering, and platform teams

NOTE: Interested candidates who meet the above qualifications are encouraged to apply directly. Due to the volume of applications, only those shortlisted will be contacted.

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More about this job

Responsibilities

Design, build, test, and maintain scalable Java/Kotlin backend services, APIs, and microservices, while developing data ingestion, transformation, and serving layers and ETL/ELT workflows. Collaborate with data and platform teams to support event-driven systems, cloud-native infrastructure, reliable production services, and effective monitoring, testing, and CI/CD practices.

Requirements

Requires 5+ years of backend software development experience and 2+ years of hands-on data engineering experience, including ETL/ELT pipelines, data warehouses, or data modeling. Candidates should have strong Java or Kotlin, API and microservices, SQL, database, distributed systems, Docker/Kubernetes, and cloud experience; a valid Canadian work visa is required.

Skills

Java
Kotlin
Backend Development
Data Engineering
ETL/ELT Pipelines
REST APIs
Microservices
Distributed Systems
SQL
PostgreSQL
MySQL
Docker
Kubernetes
Google Cloud Platform
Microsoft Azure
Kafka

Visa sponsorship

Not detected in the job text

Keywords

Java
Kotlin
Backend Engineering
Data Engineering
ETL/ELT
Data Warehouses
Data Modeling
REST APIs
Microservices
Distributed Systems
Event-Driven Architecture
Kafka
Google Cloud Platform
Microsoft Azure
Amazon Web Services
PostgreSQL
MySQL
DynamoDB
Redis
MongoDB
Advanced SQL
Docker
Kubernetes
Spark
Flink
dbt
Airflow
Apache Iceberg
Delta Lake
Terraform

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