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Senior Databricks Data Engineer Jobs in Toronto, ON

Morson Talent

25-199 - Data Engineer

Oshawa, ON · Remote

$85 - $95/hr

Work closely with infrastructure, and cyber teams and Senior Data Developers to ensure data is ... Azure Databricks, Microsoft Purview, and Power BI. Work within the agile SCRUM work management ...

GEI Consultants

Data Engineer

Markham, ON

CA$90K - CA$150K/yr

Azure or Databricks certifications (e.g., Azure Data Engineer Associate, Azure Solutions Architect Expert, Databricks Data Engineer Professional) are a plus. We are GEI. Some of the world's most ...

GEI Consultants

Data Engineer

Concord, ON

CA$90K - CA$150K/yr

Azure or Databricks certifications (e.g., Azure Data Engineer Associate, Azure Solutions Architect Expert, Databricks Data Engineer Professional) are a plus. We are GEI. Some of the world's most ...

Konrad

Senior Data Engineer

Toronto, ON · Hybrid

CA$120K - CA$145K/yr

About The Role As a Senior Data Engineer you'll be tasked with designing, building, and maintaining ... Your deep knowledge of data platforms such as Azure Fabric, Databricks, and Snowflake will be ...

ShyftLabs

Senior Data Engineer

Toronto, ON

The Opportunity ShyftLabs is seeking an experienced Senior / Lead Data Engineer to lead the design ... The ideal candidate combines deep hands-on expertise with Databricks, Apache Spark, Python, SQL ...

New

ShyftLabs

Data Engineer

Toronto, ON · Hybrid

CA$100K - CA$140K/yr

Design, implement, and optimize big data pipelines in Databricks. * Develop scalable ETL workflows ... Collaborate with data scientists, analysts, and engineers to enable advanced AI/ML workflows.

Konrad

Data Engineer

Toronto, ON · Hybrid

CA$90K - CA$125K/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 ...

Morson Talent

25-108 Senior Data Engineer

Pickering, ON · Remote

$70 - $90/hr

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 ...

McKesson

Senior / Lead Data Engineer

Mississauga, ON · On-site +1

The Senior / Lead Data Engineer will bepart of McKesson Decision Intelligence team, and ... Specific experience with Snowflake, Databricks, Azure data factory,PySpark,Analytical SQL,Splunk ...

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Senior Databricks Data Engineer information

How does a Senior Databricks Data Engineer typically collaborate with data scientists and analysts on large-scale projects?

A Senior Databricks Data Engineer works closely with data scientists and analysts to design, build, and optimize data pipelines that enable advanced analytics and machine learning initiatives. They often participate in cross-functional meetings to understand data requirements, translate them into scalable ETL processes, and ensure data quality and accessibility. Regular collaboration also involves troubleshooting data issues, optimizing Spark jobs for performance, and sharing best practices for data management. This close teamwork ensures that analytical teams have reliable, timely, and well-structured data to drive insights and decision-making.

What are the key skills and qualifications needed to thrive as a Senior Databricks Data Engineer, and why are they important?

To thrive as a Senior Databricks Data Engineer, you need advanced expertise in data engineering concepts, big data technologies, and proficiency in programming languages like Python or Scala, usually backed by a bachelor's degree in computer science or a related field. Familiarity with Databricks, Apache Spark, cloud platforms (Azure, AWS, or GCP), and certifications like Databricks Certified Data Engineer are typically required. Strong problem-solving skills, effective communication, and the ability to collaborate across teams distinguish top performers in this role. These skills are essential to efficiently design scalable data solutions, optimize data workflows, and drive business insights in complex data environments.

What is the difference between Senior Databricks Data Engineer vs Data Engineer?

AspectSenior Databricks Data EngineerData Engineer
CredentialsTypically requires experience with Databricks, Spark, cloud platforms, and often certifications like Databricks Certified Data Engineer AssociateRequires knowledge of data pipelines, SQL, ETL tools, and often cloud platform experience, but less specialized in Databricks
Work EnvironmentWorks primarily within Databricks environment, focusing on big data processing and analyticsWorks across various data tools and platforms, including traditional ETL and cloud services
Industry UsageCommon in organizations leveraging Databricks for big data analytics and machine learningWidely used across industries for general data pipeline development and data management

The main difference is that a Senior Databricks Data Engineer specializes in using Databricks and Spark for big data solutions, often requiring specific certifications and experience. A Data Engineer has a broader focus on data pipeline development across various tools and platforms, with less emphasis on Databricks-specific skills.

What are Senior Databricks Data Engineers?

Senior Databricks Data Engineers are experienced professionals who design, develop, and optimize large-scale data processing pipelines using the Databricks platform. They work with big data technologies like Apache Spark, Delta Lake, and cloud platforms such as Azure or AWS. Their responsibilities include building and maintaining ETL processes, ensuring data quality, and collaborating with data scientists and analysts to deliver reliable, high-performance data solutions. As senior engineers, they also mentor junior team members and contribute to architectural decisions.
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 Senior Databricks Data Engineer jobs in Toronto, ON? For Senior Databricks Data Engineer jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Senior Databricks Data Engineer jobs in Toronto, ON look for? The top searched job categories for Senior Databricks Data Engineer jobs in Toronto, ON are:
Senior Databricks Data Engineer jobs near you
Infographic showing various Senior Databricks Data Engineer job openings in Toronto, ON as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 10% Part Time, and 9% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution.

Senior Data Engineer (Databricks/AWS)

Fusemachines

Toronto, ON • Remote

Contractor

Posted 7 days ago

Job description

About Fusemachines

Fusemachines is a 12+ year old AI company, dedicated to delivering state-of-the-art AI products and solutions to a diverse range of industries. Founded by Sameer Maskey, Ph.D., an Adjunct Associate Professor at Columbia University, our company is on a steadfast mission to democratize AI and harness the power of global AI talent from underserved communities. With a robust presence in four countries and a dedicated team of over 400 full-time employees, we are committed to fostering AI transformation journeys for businesses worldwide. At Fusemachines, we not only bridge the gap between AI advancement and its global impact but also strive to deliver the most advanced technology solutions to the world.
Type: Full-time, Remote
 

About the role

This is a full-time, high-impact position for a Senior Data Engineer with expertise in Databricks, dbt, and Apache Airflow to support a critical CRM data architecture migration for a key client in the Life Sciences industry.

In this role, you will join an urgent initiative to backfill key engineering capabilities and maintain momentum during an ongoing CRM system transition. The project involves migrating enterprise customer data from Veeva CRM to Salesforce Life Sciences Cloud, integrated with an underlying AWS S3 cloud environment and Databricks data warehouse. Your main focus will be building out, configuring, and redirecting data ingestion pipelines out of Life Sciences Cloud into the data warehouse, while implementing dbt models and Airflow orchestrations to ensure complete data accuracy.

Candidates must be able to operate strictly on US East Coast business hours (location is flexible across North America, LATAM, or remote with full Eastern Time overlap).

Qualification / Skill Set Requirement:

  • Core Technical Expertise:

    • 5+ years of hands-on data engineering experience with deep expertise in AWS, Databricks, dbt, and Apache Airflow.

    • Strong programming proficiency in Python / PySpark and Advanced SQL (complex joins, analytical window functions).

    • Hands-on expertise in Databricks platform architecture, Lakehouse implementation, Delta Lake, Unity Catalog, and cluster performance tuning.

  • Architecture & Migration:

    • Proven track record of architecting and executing migrations.

    • Demonstrated experience scaling platform performance.

  • Pipeline Orchestration & Modeling:

    • Proven experience building scalable transformations pipelines using dbt for data transformation, testing, and documentation.

    • Solid background orchestrating complex workflow DAGs with Apache Airflow.

    • Experience working with AWS cloud infrastructure, specifically AWS S3 as an underlying data lake storage layer.

  • CRM Integration & Domain Knowledge:

    • Hands-on experience developing integrations and data ingestion pipelines for CRM platforms, specifically Salesforce, Salesforce Life Sciences Cloud, and/or Veeva CRM.

    • Understanding of data structures, customer master data, and analytics workflows within the Life Sciences.

  • DevOps & Governance:

    • Deep understanding of SDLC/Agile and DevOps for CI/CD and artifact management.

    • Knowledge of AWS and Databricks security best practices and compliance standards.

  • Certifications Preferred: Databricks Certified Data Engineer Associate/Professional, Databricks Spark Developer, and major cloud certifications in AWS.

  • Logistics & Shift Overlap:

    • Ability to maintain 100% full working time overlap with US East Coast business hours (ET). Flexible location (US, Canada, LATAM, or remote ET).

Responsibilities

  • Pipeline Development & Integration: Architect, build, and deploy data integration pipelines connecting Salesforce Life Sciences Cloud to the client’s Databricks warehouse environment.

  • CRM Migration Support: Execute pipeline modifications to transition legacy data feeds from Veeva CRM to Salesforce Life Sciences Cloud, updating warehouse models accordingly.

  • Transformation & Workflow Orchestration: Write clean, modular dbt transformation models and organize end-to-end DAG execution using Apache Airflow.

  • Data Warehouse & Storage Optimization: Manage Delta tables and optimize Databricks clusters and AWS S3 storage for high performance and cost efficiency.

  • Data Validation & Quality Assurance: Implement data quality testing, schemas, and verification rules in dbt and Python to guarantee accurate data delivery.

  • Monitoring & Alerting: Build and enforce proactive monitoring frameworks.

  • Agile Collaboration: Work closely with project leads, solution architects, and technical stakeholders during US East Coast hours to ensure rapid iteration and goal completion.

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

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