Find work in Canada.

A simpler way to find your next job.

Jobs in Canada

25+ jobs

Email me new jobs Save this search

Added 3 hours ago
Spark Scala Java Developer
Apptoza Inc.
Toronto, ON
Contract
8. Experience in writing Spring boot Webservices| and SQL queries. The ideal candidate will have experience developing data processing applications using Apache Spark and Scala.
Added 3 hours ago
Senior Data Engineer (Databricks)
KTek Resourcing
Toronto, ON
Full-time
Build and optimize data solutions using Databricks, PySpark, and Spark SQL.
Added 4 hours ago
Senior Data Engineer (Databricks)
KTek Resourcing
Toronto, ON
Contract
Build and optimize data solutions using Databricks, PySpark, and Spark SQL.
Added 4 hours ago
Data Engineer
Compass Data & AI
Montreal, QC
Full-time
Programming Languages: Proficiency in SQL and Python is essential; experience with Scala, Spark, or other languages is a plus.
Added 5 hours ago
Senior Manager, AdTech Engineering
Pelmorex
Oakville, ON
Full-time
Data & Cloud Infrastructure: Deep knowledge of distributed data frameworks (Apache Spark, Airflow, Google Cloud Dataflow), cloud data warehouses (BigQuery/GCP, and Snowflake), SQL, and…
Added 5 hours ago
Senior Manager, AdTech Engineering
Pelmorex
Oakville, ON
Full-time
Data & Cloud Infrastructure: Deep knowledge of distributed data frameworks (Apache Spark, Airflow, Google Cloud Dataflow), cloud data warehouses (BigQuery/GCP, and Snowflake), SQL, and…
Added 7 hours ago
Big Data Engineer
Tata Consultancy Services
Mississauga, ON
$100,000 to $130,000 CAD / year
Full-time
Design and develop Big Data pipelines using Spark and Scala to process large volumes of raw data stored in Hive/Hadoop.
Added 8 hours ago
Senior Security Data Scientist
Desjardins
Montreal, QC · Complexe Desjardins Montréal
Full-time
Proficiency of development in Apache Spark (via pyspark or scala, knowledge of Databricks)
Added 9 hours ago
Lead Engineer - Azure Databricks @ Burnaby, Vancouver _ Canada - Hybrid
BURGEON IT SERVICES
Vancouver, BC
Contract
Optimize Spark jobs (partitioning, caching, broadcast joins, AQE) for performance and cost.
Added 11 hours ago
Spark Scala Java Developer
Apptoza Inc.
Toronto, ON
Contract
The ideal candidate will have experience developing data processing applications using Apache Spark and Scala.
Added 15 hours ago
Technology Lead - PySpark Developer
Infosys
ON
Infosys is seeking an experienced PySpark Developer to design, develop, and optimize scalable bigdata solutions. The candidate will work on building high-performance batch and real-time…
Added 1 day ago
Senior Associate Data Engineering (Azure/Databricks) Hybrid
Publicis Sapient
Toronto, ON
Full-time
In-depth knowledge of Scala, Apache Spark, PySpark, Python, Java, and shell scripting.
Added 1 day ago
Big Data Developer
Galent
Toronto, ON
Contract
Design and develop Spark-Scala applications for large-scale data processing on Hadoop/CDP clusters
Added 1 day ago
Big Data Developer
Themesoft Inc.
Toronto, ON
Contract
Design and develop Spark-Scala applications for large-scale data processing on Hadoop/CDP clusters
Added 1 day ago
Big Data Engineer
Themesoft Inc.
Toronto, ON
Contract
Design and develop Spark-Scala applications for large-scale data processing on Hadoop/CDP clusters
Added 1 day ago
Technology Analyst - Pyspark developer
Infosys
ON
Infosys is seeking an experienced Spark Scala Developer to design, develop, and optimize scalable bigdata solutions. The candidate will work on building high-performance batch and real-time…
Added 1 day ago
Technology Lead - AWS Data Engineer
Infosys
BC
Infosys is seeking an experienced Data Engineer with 6+ years of experience in building scalable data platforms and ETL pipelines. The ideal candidate should have strong hands-on expertise…
Added 2 days ago
Member of Technical Staff 3
Nutanix
Vancouver, BC
$132,000 to $198,000 CAD / year
Full-time
Design and implement pre-requisite data engineering by authoring Jobs via Apache Spark.
Added 2 days ago
Member of Technical Staff 4
Nutanix
Vancouver, BC
$151,000 to $227,000 CAD / year
Full-time
Design and implement data engineering by authoring Jobs via Apache Spark to satisfy complex requirements.
Added 2 days ago
Staff Software Engineer, Risk Data Engineering
Stripe
Canada
Full-time
…volume, is deeply knowledgeable of key tools including Airflow/Spark/Kafka/Flink, is empathetic, excels at building strong relationships, and collaborates effectively with other Stripe…
Added 2 days ago
Staff Software Engineer, Risk Data Engineering
Stripe
Toronto, ON
Full-time
…volume, is deeply knowledgeable of key tools including Airflow/Spark/Kafka/Flink, is empathetic, excels at building strong relationships, and collaborates effectively with other Stripe…
Added 2 days ago
Spark Scala developer
Apptoza Inc.
Toronto, ON
Contract
Job Description We are seeking a skilled Spark Scala Developer to join our team. The ideal candidate will have experience developing data processing applications using Apache Spark and…
Added 2 days ago
Software Engineer
LanceSoft, Inc.
Toronto, ON
$70 CAD / hour
Contract
The ideal candidate will have experience developing data processing applications using Apache Spark and Scala.
Added 10 days ago
Developer - Data, AI, Platform & Support
BMO
Toronto, ON · FCP
Full-time
Experience with SQL, NoSQL, Python , Spark/PySpark, Scala.
Added 8 days ago
Senior Manager, Engineering & Build
RBC
Toronto, ON
Full-time
Distributed processing: Production experience with Spark (PySpark/Scala) for large-scale batch processing and optimization.

KTek Resourcing

Senior Data Engineer (Databricks)

Toronto, ON, Canada

Job type: Contract
Apply by: Oct 23, 2026
Experience: 8+ years of experience in Data Engineering and Data Platform development.
Posting language: English
Posted: Sep 23, 2026

Apply About employer

Applications open in a new tab.

Original job description

Title : Senior Data Engineer (Databricks)

Location: Toronto, ON Hybrid

Position Type: Full Time

Responsibilities

Design, develop, and maintain scalable ETL/ELT pipelines for structured and unstructured data.
Build and optimize data solutions using Databricks, PySpark, and Spark SQL.
Implement data ingestion frameworks from various source systems including databases, APIs, files, and streaming platforms.
Develop and maintain data lakehouse architectures leveraging Databricks best practices.
Design and implement Medallion Architecture (Bronze, Silver, Gold layers) for enterprise data platforms.
Collaborate with business stakeholders, data scientists, architects, and application teams to understand data requirements.
Optimize Spark jobs and data pipelines for performance, scalability, and cost efficiency.
Implement data quality, governance, security, and monitoring frameworks.
Support AI/ML initiatives by preparing and engineering datasets for model development and deployment.
Develop CI/CD pipelines and automate deployment processes for data engineering workloads.
Participate in architecture reviews and establish data engineering standards and best practices.
Mentor junior engineers and provide technical leadership across projects.

Required Qualifications

Bachelor's or Master's degree in Computer Science, Information Technology, Data Science, or related field.
8+ years of experience in Data Engineering and Data Platform development.
Strong hands-on experience with Databricks and Apache Spark.
Proficiency in Python, PySpark, and SQL.
Experience with cloud platforms such as:
Microsoft Azure (preferred)
AWS
Google Cloud Platform
Experience with Delta Lake, Unity Catalog, and Databricks workflows.
Strong understanding of Data Lake, Data Warehouse, and Lakehouse architectures.
Experience working with large-scale distributed data processing systems.
Knowledge of data modeling, partitioning, indexing, and query optimization techniques.
Experience with Git, CI/CD pipelines, and DevOps practices.

Preferred Qualifications

Databricks Certified Data Engineer Associate or Professional Certification.
Experience with Azure Data Factory, Synapse Analytics, or equivalent cloud-native services.
Experience with streaming technologies such as Kafka, Event Hubs, or Spark Streaming.
Exposure to AI/ML platforms, MLOps, and Generative AI solutions.
Experience working in Insurance, Financial Services, or Enterprise Digital Transformation programs.

Technical Skills

Category Skills
Data Engineering Databricks, Apache Spark, PySpark, Spark SQL
Programming Python, SQL, Scala (Preferred)
Cloud Azure, AWS, GCP
Data Platforms Delta Lake, Unity Catalog, Data Lakehouse
ETL/ELT Azure Data Factory, Databricks Workflows, Airflow
DevOps Git, Azure DevOps, Jenkins, CI/CD
Streaming Kafka, Spark Streaming, Event Hubs
Databases SQL Server, PostgreSQL, Oracle, Snowflake

Apply About employer

More about this job

Responsibilities

Design, build, and optimize scalable data pipelines and lakehouse solutions using Databricks, Spark, and Medallion Architecture. Establish data quality, governance, security, monitoring, and deployment practices while supporting AI/ML initiatives and providing technical leadership and mentorship.

Requirements

Requires a bachelor's or master's degree in a related field, at least 8 years of data engineering experience, and strong hands-on expertise with Databricks, Apache Spark, Python, PySpark, and SQL. Candidates should also have cloud platform, lakehouse, Delta Lake, Unity Catalog, distributed processing, data optimization, Git, and CI/CD experience; relevant certifications and streaming or AI/ML exposure are preferred.

Skills

Databricks
Apache Spark
PySpark
Spark SQL
Python
SQL
Azure
Delta Lake
Unity Catalog
ETL/ELT Pipelines
Lakehouse Architecture
Data Modeling
CI/CD
Data Governance
Kafka
Data Quality

Visa sponsorship

Not detected in the job text

Keywords

Databricks
Apache Spark
PySpark
Spark SQL
Python
SQL
Scala
Microsoft Azure
AWS
Google Cloud Platform
Delta Lake
Unity Catalog
Data Lakehouse
Medallion Architecture
ETL/ELT
Azure Data Factory
Synapse Analytics
Airflow
Git
Azure DevOps
Jenkins
CI/CD
Kafka
Spark Streaming
Event Hubs
MLOps
Generative AI
SQL Server
PostgreSQL
Snowflake

Report this job