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Remote Databricks Data Engineer Jobs in Toronto, ON

This role is fully Remote in the United States or Canada, with occasional travel to NYC. What You ... data engineering: tables, views, jobs/pipelines, and orchestration within the Databricks ...

This role is fully Remote in the United States or Canada, with occasional travel to NYC. What You ... data engineering: tables, views, jobs/pipelines, and orchestration within the Databricks ...

... remote) Job Overview As a Senior Data Developer, you will be responsible for building and ... Databricks, Collibra, and Power Bl. Work within the agile SCRUM work management framework in ...

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 ...

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 ...

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 ...

Deep proficiency in Azure data services (Databricks, Azure Functions, Event Hubs) and cloud-native ... Remote -Toronto, ON Opening Type: New Role If this resonates with you, we encourage you to apply ...

Lead, Data Engineer

Mississauga, ON · On-site +1

CA$122K - CA$162K/yr

Summary The Lead Data Engineer is a senior individual contributor within McKesson's Decision ... Databricks, Snowflake, Azure Data Factory * Confluent Kafka / Azure Event Hub * PySpark and ...

Lead, Data Engineer

Mississauga, ON · On-site +1

CA$122K - CA$162K/yr

Summary The Lead Data Engineer is a senior individual contributor within McKesson's Decision ... Databricks, Snowflake, Azure Data Factory * Confluent Kafka / Azure Event Hub * PySpark and ...

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 ...

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 ...

Lead, Data Engineer

Mississauga, ON · Remote

CA$122K - CA$162K/yr

Summary The Lead Data Engineer is a senior individual contributor within McKesson's Decision ... Databricks, Snowflake, Azure Data Factory * Confluent Kafka / Azure Event Hub * PySpark and ...

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Remote Databricks Data Engineer information

What is a remote Databricks data engineer?

A Remote Databricks Data Engineer is a professional who designs, develops, and manages large-scale data processing systems using the Databricks platform, often working from a remote location. They focus on building data pipelines, integrating data sources, and optimizing workflows for analytics and machine learning, leveraging tools like Apache Spark within Databricks. These engineers collaborate with data scientists, analysts, and other stakeholders to ensure data is accessible, reliable, and scalable for business needs. Remote roles offer flexibility in work location while still requiring strong communication and technical skills.

What are the key skills and qualifications needed to thrive as a remote Databricks data engineer?

To thrive as a Remote Databricks Data Engineer, you need a solid background in data engineering, strong programming skills in Python or Scala, and experience with big data frameworks, often supported by a degree in computer science or a related field. Proficiency with Databricks, Apache Spark, cloud platforms (such as AWS or Azure), and relevant certifications like Databricks Certified Data Engineer are highly valuable. Strong problem-solving abilities, effective remote communication, and collaboration skills set top performers apart in distributed teams. These skills and qualities ensure efficient data pipeline development, seamless integration, and successful project delivery in remote environments.

What are some common challenges faced by remote Databricks data engineers and how can they be addressed?

Remote Databricks Data Engineers often encounter challenges such as coordinating efficiently with distributed teams, managing access to secure data environments, and ensuring smooth pipeline deployments across different cloud platforms. To overcome these, it's important to leverage communication tools for regular check-ins, follow strict data governance protocols, and utilize collaborative features in Databricks such as shared notebooks and version control. Proactively documenting your work and staying updated with platform updates can also help streamline remote collaboration and problem-solving.

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 Remote Databricks Data Engineer jobs in Toronto, ON?

For Remote Databricks Data Engineer jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Remote Databricks Data Engineer jobs in Toronto, ON look for?

The top searched job categories for Remote Databricks Data Engineer jobs in Toronto, ON are:

Infographic showing various Remote Databricks Data Engineer job openings in Toronto, ON as of August 2026, with employment types broken down into 100% Full Time. Highlights an 8% Hybrid, and 92% Remote job distribution.

Data Engineer (Databricks)

Fluent, LLC

Toronto, ON • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement

Posted 9 days ago


Job description

Fluent is building the next generation advertising network, Partner Monetize & Advertiser Acquisition. Our vision is to build an ML/AI first network of advertisers and publishers to achieve a common objective, elevating relevancy in E-commerce for everyday shoppers.

As a Data Engineer on Fluent's Data Engineering team, you will bring your Databricks development expertise to build the data products that power Fluent's Audience Solutions business: the syndicated and custom consumer segments we build, model, and deliver to leading data marketplaces. These data products translate raw survey and behavioral signals into declared and modeled audiences that our commercial teams and clients rely on every day.

You are known as a strong and efficient IC Data Engineer, with the ability to assist in designing engineering solutions, data modeling, and building architecture. You are familiar with the Databricks Lakehouse and how to work backwards from translating business requirements into engineering solutions. You are considered an expert in Python, SQL, and Spark.

You will work closely with the Data Engineering team and Data Science partners to build and operate high-impact audience data solutions. This role is fully Remote in the United States or Canada, with occasional travel to NYC.

What You'll Do:

  • Majority of the role will be data engineering: tables, views, jobs/pipelines, and orchestration within the Databricks environment, following Fluent's data model and architecture best practices. You will help elevate standards across testing, code repository, ci/cd, and naming conventions.
  • Build and maintain pipelines that create and deliver syndicated and custom audience segments, spanning declared (survey-based) and modeled (ML driven) methodologies.
  • Support delivery and performance reporting of finished segments on distribution marketplaces such as LiveRamp, TruAudience (TransUnion), and Lotame.
  • Investigate and leverage Databricks' latest capabilities for real-time processing and operational workloads, such as Spark structured Streaming and Lakeflow Declarative Pipelines.
  • Contribute to and maintain a high-quality codebase with comprehensive data observability, metadata standards, and best practices, including compliant handling of consumer data in line with Fluent's data privacy standards.
  • Apply AI-assisted development practices, using tools such as Claude Code, to accelerate pipeline development, testing, and documentation, while upholding Fluent's engineering and data quality standards.
  • Partner with the Data Engineering team, Data Science, and commercial stakeholders to define business requests and translate them into functional requirements.
  • Keep track of emerging tech and trends within the Databricks ecosystem.
  • Share your knowledge by giving brown bags, tech talks, and evangelizing appropriate tech and engineering best practices.
  • Empower internal teams by providing communication on architecture, execution plans, releases, and training.

Requirements

  • Bachelor's or Master's degree in computer science or related field.
  • 4+ years of industry experience in Data Engineering, including expertise in SQL, Python, Spark, and distributed processing.
  • 2+ years of experience with Databricks environment leveraging Data Engineering and Data Warehousing features such as Jobs & Workflows, Notebooks, Unity Catalog, and Delta Lake.
  • Strong foundation in database design, data structures, and algorithms.
  • Experience using AI coding assistants (e.g., Claude Code, GitHub Copilot) as part of a modern engineering workflow.
  • Nice to have: familiarity with Databricks emerging technologies and latest offerings such as: Genie, Lakebase, AI/BI Dashboards, Databricks Apps.
  • Nice to have: Prior experience in digital marketing, ad-tech, media/advertising, or related field. In addition, familiarity with audience, identity, or consumer segmentation data, and experience with data marketplaces such as LiveRamp, TransUnion, and/or Lotame

About Us

Fluent, Inc (NASDAQ: FLNT) is a leader in customer acquisition, leveraging its direct response expertise to drive engagement and power discovery for leading brands. Backed by proprietary data science, Fluent connects data-rich consumers to targeted offers, allowing them to find new opportunities, content, and products that enhance their lives. Established in 2010, and headquartered in New York City, Fluent's team of experts have invested over $1B in media across its digital media portfolio to build a global audience available through 500+ DSPs, DMPs, online publishers, and programmatic platforms. For more information, visit fluentco.com.

Benefits

At Fluent, we like what we do and we like who we do it with. Our team is a tight-knit crew of go-getters; we love to celebrate our successes! In addition we offer a fully stocked kitchen, catered breakfast and lunch, and our office manager keeps the calendar stocked with activity-filled events. When we're not eating, working out, or planning parties, Fluent folks can be found participating in recreational sports leagues, networking with She Runs It, and bonding across teams during quarterly outings to baseball games, fancy dinners, and pizza-making classes. And we have all the practical benefits, too...

  • Competitive compensation
  • Ample career and professional growth opportunities
  • New Headquarters with an open floor plan to drive collaboration
  • Health, dental, and vision insurance
  • Pre-tax savings plans and transit/parking programs
  • 401K with competitive employer match
  • Volunteer and philanthropic activities throughout the year
  • Educational and social events
  • The amazing opportunity to work for a high-flying performance marketing company!

Salary Range: $80,000 to $90,000 CAD - The base salary range represents the low and high end of the Fluent salary range for this position. Actual salaries will vary depending on factors including but not limited to location, experience, and performance. This is a new position, not a backfill.

Fluent participates in the E-Verify Program. As a participating employer, Fluent, LLC will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS), with information from each new employee's Form I-9 to confirm work authorization. Fluent, LLC follows all federal regulations including those set forth by The Office of Special Counsel for Immigration-Related Unfair Employment Practices (OSC). The OSC enforces the anti-discrimination provision ( 274B) of the Immigration and Nationality Act (INA), 8 U.S.C. 1324b.