Contract jobs in Vaughan, Ontario

Find contract jobs in Vaughan, Ontario and nearby towns within 25 km. Read the full details and apply.

Newest first

Within 25 km of Vaughan

Added 44 mins ago
Operations Officer
SPECTRAFORCE Canada
Toronto, ON
Added 44 mins ago
Sr Project Controller
TekStaff IT Solutions
Toronto, ON
Added 1 hour ago
Senior Business Lead-Health
Bevertec
Toronto, ON
Added 1 hour ago
A
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Toronto, ON
- $21 to $23 CAD / hour
Added 1 hour ago
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Toronto, ON
Added 1 hour ago
e-Discovery Program Manager
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Toronto, ON
Added 1 hour ago
AS
Applications Support Specialist
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Toronto, ON
- $24 to $27 USD / hour
Added 3 hours ago
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William Osler Health System
Brampton, ON
Added 3 hours ago
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Toronto, ON
Added 3 hours ago
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Toronto, ON
Added 3 hours ago
UX Designer – Junior (Figma, Canvas exp)
Bevertec
Toronto, ON
Added 3 hours ago
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Toronto, ON
Added 3 hours ago
Business Intelligence Specialist
Maarut Inc
Toronto, ON
Added 3 hours ago
RT
Senior Engineer – Electrical Systems Integration
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Toronto, ON
- $50 to $55 CAD / hour
Added 5 hours ago
Community Dance Coordinator
Canada's National Ballet School
Toronto, ON
Added 5 hours ago
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Toronto, ON
Added 5 hours ago
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Toronto, ON
Added 5 hours ago
E
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Toronto, ON
- $18 CAD / hour
Added 5 hours ago
SAP Billing Consultant
J&M Group
Toronto, ON
Added 5 hours ago
AS
GCP Consultant
Apex Systems
Toronto, ON
- $49 to $54 USD / hour
Added 5 hours ago
Microsoft Dynamics 365 Solution Architect
Epsilon Solutions Ltd.
Toronto, ON
Added 7 hours ago
AW
Real Estate Project Manager
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Toronto, ON
- $65 to $70 CAD / hour
Added 7 hours ago
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Toronto, ON
Added 7 hours ago
Waste Management Coordinator Job Details | Richmond Hill
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Richmond Hill, ON
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Toronto, ON

E-Solutions

Databricks Engineer

Toronto, ON, Canada

Contract

Within 25 km of Vaughan · About 22.9 km from the city centre

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Job details

Job type: Contract
Apply by: Nov 19, 2026
Posted: Oct 20, 2026

Original job description

Role : Databricks Engineer

Location : Ottawa / Toronto (Hybrid)

The Cloud Data Engineer is responsible for designing, building, and maintaining scalable data pipelines and Azuer cloud platforms. This role involves working with large datasets, optimizing data workflows, and ensuring secure, efficient data storage and processing in cloud environments.

Major Responsibilities:

Build and optimize data pipelines for efficient data ingestion, transformation and loading from various sources while ensuring data quality and integrity.

Design, develop, and deploy Spark program in databricks environment to process and analyze large volumes of data.

Experience of Delta Lake, DWH, Data Integration, Cloud, Design and Data Modelling.

Proficient in developing programs in Python and SQL

Experience with Data warehouse Dimensional data modeling.

Working with event based/streaming technologies to ingest and process data.

Working with structured, semi structured and unstructured data.

Optimize Databricks jobs for performance and scalability to handle big data workloads.

Monitor and troubleshoot Databricks jobs, identify and resolve issues or bottlenecks.

Implement best practices for data management, security, and governance within the Databricks environment. Experience designing and developing Enterprise Data Warehouse solutions.

Proficient writing SQL queries and programming including stored procedures and reverse engineering existing process.

Perform code reviews to ensure fit to requirements, optimal execution patterns and adherence to established standards.

Skills:

5+ years Python coding experience.

5+ years - SQL Server based development of large datasets

5+ years with Experience with developing and deploying ETL pipelines using Databricks Pyspark.

Experience in any cloud data warehouse like Synapse, Big Query, Redshift, Snowflake.

Experience in Data warehousing - OLTP, OLAP, Dimensions, Facts, and Data modeling.

Previous experience leading an enterprise-wide Cloud Data Platform migration with strong architectural and design skills.

Experience with Cloud based data architectures, messaging, and analytics.

Cloud certification(s).

Any experience with Airflow is a Plus.

Education

Minimally a BA degree within an engineering and/or computer science discipline

Master’s degree strongly preferred

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More about this job

Responsibilities

Design, build, and optimize scalable data pipelines and cloud data platforms, using Databricks and Spark to ingest, transform, and process large datasets. Monitor and troubleshoot jobs, improve performance, and apply data quality, security, governance, and code review practices.

Requirements

The role requires at least five years of Python, SQL Server development, and experience building and deploying ETL pipelines with Databricks PySpark. A bachelor's degree in engineering or computer science is the minimum stated education requirement, while a master's degree is strongly preferred; cloud data warehousing, data modeling, cloud architecture, and migration experience are also sought.

Skills

Python
SQL
SQL Server
Databricks
PySpark
ETL Pipelines
Data Warehousing
Data Modeling
Delta Lake
Apache Spark
Cloud Data Platforms
Data Integration
Streaming Data
Data Security
Data Governance
Airflow

Visa sponsorship

Not detected in the job text

Keywords

Databricks
PySpark
Apache Spark
Python
SQL
SQL Server
ETL
Data Pipelines
Delta Lake
Data Warehousing
Enterprise Data Warehouse
Data Modeling
Dimensional Modeling
OLTP
OLAP
Cloud Data Platforms
Cloud Data Architecture
Data Integration
Streaming Data
Event-Based Processing
Structured Data
Semi-Structured Data
Unstructured Data
Data Quality
Data Security
Data Governance
Synapse
BigQuery
Redshift
Snowflake

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