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Contract Databricks Data Engineer Jobs in Toronto, ON

Databricks, Unity Catalog, Auto Loader * Experience with data engineering, programming, ETL and ELT processes for data extraction and processing * Experience working with structured, semi-structured ...

Data Engineer I

Toronto, ON

CA$69K - CA$98K/yr

As a Data Engineer on this team, you are at the front of that chain. You will onboard new sources ... Independently design, build, and debug Databricks notebooks and ETL * pipelines that ingest and ...

Key Responsibilities Azure Databricks & Data Engineering * Design, build, and optimize large-scale data pipelines using Azure Databricks, PySpark, and advanced SQL. * Develop and maintain batch and ...

Posted today

Senior Data Engineer

Toronto, ON ยท Hybrid

CA$120K - CA$145K/yr

Your deep knowledge of data platforms such as Azure Fabric, Databricks, and Snowflake will be essential as you collaborate closely with data analysts, scientists, and other engineers to ensure ...

Databricks, Unity Catalog, Auto Loader * Experience with data engineering, programming, ETL and ELT processes for data extraction and processing * Experience working with structured, semi-structured ...

25-167 Data Engineer

Oshawa, ON ยท Hybrid

$75 - $95/hr

We are looking for strong hands on Data Engineering skillset focused heavily on Azure Data Factory and Databricks (use of PySpark and SparkSQL). Build and productionize modular and scalable data ELT ...

Data Engineer I

Toronto, ON

CA$69K - CA$98K/yr

As a Data Engineer on this team, you are at the front of that chain. You will onboard new sources ... Independently design, build, and debug Databricks notebooks and ETL * pipelines that ingest and ...

You will work primarily on Spark based data processing running on Azure Databricks, developing ... This is an engineering heavy role for someone who enjoys writing clean, efficient code and ...

The ideal candidate combines deep hands-on expertise with Databricks, Apache Spark, Python, SQL ... Mentor and coach Data Engineers while fostering technical excellence and continuous learning.

Adastra is seeking a Senior Data Engineer to design, build, and optimize scalable data pipelines ... Experience with Databricks and Lakehouse architectures * Experience with AWS, Azure, or Google ...

The ideal candidate is a hands-on data engineering professional with strong expertise in ... Experience with Databricks and Lakehouse architectures * Experience with AWS, Azure, or Google ...

Role Summary We're looking for a passionate and curious Data Engineer with strong DBT and Python skills and solid experience working with large-scale data solutions. You'll play a key role in ...

Senior Data Engineer Resume Due Date: Wednesday, June 25, 2025 (5:00PM EST) Number of Vacancies: 2 ... Databricks, Collibra, and Power Bl. Work within the agile SCRUM work management framework in ...

Showing results 21-40

Contract Databricks Data Engineer information

What are common challenges faced by contract Databricks data engineers when integrating data from multiple sources?

As a contract Databricks Data Engineer, you'll often encounter challenges related to integrating diverse data sources, such as on-premises databases, cloud storage, and APIs. These challenges may include handling inconsistent data formats, managing data quality, and ensuring secure data transfers. Additionally, adapting to clients' unique data architectures and optimizing ETL pipelines for performance in a cloud environment are common tasks. Collaboration with data scientists, analysts, and other engineers is critical to ensure data is both accessible and reliable for downstream analytics and machine learning.

What is a contract Databricks data engineer?

Contract Databricks Data Engineers are professionals hired on a temporary or project basis to design, build, and maintain data infrastructure using Databricks, a unified analytics platform. They typically work with big data tools, cloud environments, and programming languages like Python or Scala to process and analyze large datasets. Their responsibilities often include developing data pipelines, optimizing data workflows, and collaborating with data scientists and analysts to support business objectives. Because they are contractors, their roles can vary by project and organization, offering flexibility and specialized expertise.

What skills and qualifications are needed to thrive as a contract Databricks data engineer?

To excel as a Contract Databricks Data Engineer, you need strong experience in data engineering, SQL, Spark, and cloud platforms, often supported by a degree in computer science or a related field. Familiarity with Databricks, Apache Spark, Python or Scala, and cloud services like AWS or Azure is typically required, along with relevant certifications. Excellent problem-solving, communication, and collaboration skills help you work effectively in dynamic, project-based environments. These competencies ensure the efficient design and implementation of scalable data solutions, driving business insights and project success.
What are the most commonly searched types of Databricks Data Engineer jobs in Toronto, ON? The most popular types of Databricks Data Engineer jobs in Toronto, ON are:
What are popular job titles related to Contract Databricks Data Engineer jobs in Toronto, ON? For Contract Databricks Data Engineer jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Contract Databricks Data Engineer jobs in Toronto, ON look for? The top searched job categories for Contract Databricks Data Engineer jobs in Toronto, ON are:
Infographic showing various Contract Databricks Data Engineer job openings in Toronto, ON as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

CA$125K - CA$140K/yr

Other

Re-posted 26 days ago


Job description

Company Overview

Bridgenext is a digital consulting services leader that helps clients innovate with intention and realize their digital aspirations by creating digital products, experiences, and solutions around what real people need. Our global consulting and delivery teams facilitate highly strategic digital initiatives through digital product engineering, automation, data engineering, and infrastructure modernization services, while elevating brands through digital experience, creative content, and customer data analytics services.

Don't just work, thrive. At Bridgenext, you have an opportunity to make a real difference - driving tangible business value for clients, while simultaneously propelling your own career growth. Our flexible and inclusive work culture provides you with the autonomy, resources, and opportunities to succeed.ย 

Position Description

This is a blended Data Engineering and Data Modeling role responsible for designing enterprise data structures and engineering Azure-based data products that are reliable, scalable, and analytics-ready.ย ย The role owns the full lifecycle of data products from translating business concepts into well-defined data models, to engineering pipelines that deliver curated, reusable, and trusted data products for analytics, reporting, and downstream integration.

The ideal candidate is equally strong in data design, pipeline engineering, and product thinking, with a focus on delivering high-quality data as a product to consumers across the organization.

Responsibilities / Individual Accountabilities:

  • Partner with business stakeholders and analytics teams to define data products that align to business domains, use cases, and outcomes
  • Translate business requirements into well-defined data entities, relationships, and metrics, and engineer data products that implement those models end to end
  • Design and maintain conceptual, logical, and physical data models that underpin scalable and reusable data products
  • Build and optimize batch and near-real-time data pipelines in Azure using Azure Data Factory, Azure Databricks (PySpark), Azure Data Lake, and Azure SQL
  • Engineer curated, analytics-ready data products optimized for BI, reporting, APIs, and OLAP consumption (e.g., Power BI)
  • Create, manage, and evolve data models using ERwin or PowerDesigner, ensuring consistency and alignment across data products
  • Define and maintain data product metadata, including data definitions, lineage, ownership, and quality expectations
  • Perform reverse engineering and model reconciliation to align existing datasets and pipelines with logical models and product intent
  • Apply CI/CD and DevOps practices to data pipelines, schemas, and data products using Azure DevOps, GitHub, or Jenkins
  • Collaborate closely with engineers, architects, analysts, and product teams to ensure data products are discoverable, trusted, and well understood
  • Identify opportunities to standardize, reuse, and evolve data products across domains and initiatives
  • Mentor team members and contribute to enterprise standards for data modeling, engineering, and data product delivery

Workplace: Hybrid ( 2 days in office) role in downtown Toronto.ย  Open to those interest in FT employment as well as Contractors (initial 6 mos contract with strong potential for extension)

Must Have Skills:

  • Bachelor's degree in Computer Science, Information Systems, or a related field
  • 8+ years of experience spanning data engineering and data modeling
  • Strong hands-on experience with Databricks on Microsoft Azure or AWS
  • Proven expertise with Erwin and/or PowerDesigner
  • Solid understanding of data warehousing, dimensional modeling, and analytics design patterns
  • Experience delivering data using data product-oriented approaches (curated layers, semantic models, governed datasets)
  • Experience implementing CI/CD and DevOps for data platforms
  • Strong communication skills with the ability to clearly articulate data product design and usage to technical and non-technical audiences

Professional Skills:

  • Strong team and individual player
  • Maintains composure during all types of situations and is collaborative by nature
  • High standards of professionalism, consistently producing high quality results
  • Self-sufficient, independent requiring very little supervision or intervention
  • Demonstrate flexibility and openness to bring creative solutions to address issues

Bridgenext is an Equal Opportunity Employer

Canadian citizens and those authorized to work in Canada are encouraged to apply

Compensation varies depending on a wide array of factors, which may include but are not limited to location, role, skill set, and level of experience. As required by local law, Bridgenext provides a reasonable range of compensation, based on full-time employment, for roles that may be hired as described above. The current salary range for this position is $125,000 - $140,000 CAD annually. Our comprehensive total rewards program goes way beyond a competitive salary.ย 

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Employment Type: OTHER