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Remote Ai Data Engineer Jobs in Toronto, ON (NOW HIRING)

Our vision is to build an ML/AI first network of advertisers and publishers to achieve a common ... This role is fully Remote in the United States or Canada, with occasional travel to NYC. What You ...

Our vision is to build an ML/AI first network of advertisers and publishers to achieve a common ... This role is fully Remote in the United States or Canada, with occasional travel to NYC. What You ...

Data Engineer

Toronto, ON · Remote

CA$140K - CA$190K/yr

... AI systems by ensuring that data is trustworthy, accessible, and fit for purpose ... This is a fully remote position that offers a competitive salary range of $140,000 to $190,000 USD ...

Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted ... We are seeking an experienced Data Engineer to join our team, specifically focused on building ...

Role: Data Engineer Location: Fully Remote (Canada, EST time zone) Compensation: Salary + Bonus ... AI-supported reporting operations This is not a pure Data Analyst role and not a backend platform ...

Develop AI-powered solutions and automation frameworks that drive measurable business outcomes ... Remote -Toronto, ON Opening Type: New Role If this resonates with you, we encourage you to apply ...

Lead Data Engineer

Toronto, ON · Remote

CA$220K - CA$260K/yr

This is a fully remote position that offers a competitive salary range of $220,000 to $260,000 USD ... Partner closely with Product, Engineering, AI, Analytics, and business stakeholders to align data ...

The Data Engineer will have strong Python, Pandas, and NumPy expertise to support data validation ... This includes using AI-enabled features within LinkedIn to help source potential candidates ...

New

Join a company that's leading the way in AI and automation consulting. Our portfolio spans 10+ top ... We're seeking a Senior Data Engineer to join our Delivery Team. In this role, you'll design and ...

New

Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted ... As a Data Engineer, you will be responsible for designing, building, and maintaining data pipelines ...

Data Engineer I

Toronto, ON · Remote

CA$69K - CA$98K/yr

Azure Data Engineer About TDI Data: TDI Data builds and supports enterprise data products and ... We welcome candidates who are passionate about leveraging AI-assisted development tools such as ...

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 ... Experience experimenting with emerging data and AI technologies. * Background in highly regulated ...

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 ... Experience experimenting with emerging data and AI technologies. * Background in highly regulated ...

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Remote Ai Data Engineer information

What is a remote AI data engineer?

A Remote AI Data Engineer is a professional who designs, builds, and maintains data pipelines and infrastructure to support artificial intelligence (AI) and machine learning (ML) projects, all while working from a remote location. They are responsible for collecting, cleaning, transforming, and storing large datasets, ensuring data quality and accessibility for AI applications. These engineers collaborate with data scientists, software engineers, and stakeholders to deliver data solutions that power intelligent systems, often leveraging cloud technologies and distributed computing. Their work enables organizations to harness data for predictive analytics, automation, and decision-making—without being tied to a physical office.

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

To thrive as a Remote AI Data Engineer, you need strong programming skills (Python, SQL), a solid understanding of data structures, machine learning principles, and typically a degree in computer science or related fields. Familiarity with big data platforms (such as Hadoop or Spark), cloud services (AWS, GCP, or Azure), and experience with AI/ML frameworks like TensorFlow or PyTorch are commonly required. Excellent problem-solving, communication, and self-motivation skills help you collaborate effectively and manage projects independently in a remote setting. These skills and qualities ensure robust AI data pipelines, effective model deployment, and seamless teamwork across distributed environments.

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

Remote AI Data Engineers often encounter challenges such as coordinating with cross-functional teams across different time zones, ensuring data security when accessing sensitive datasets remotely, and maintaining effective communication for project updates. To address these, it's important to establish clear protocols for data sharing, leverage collaboration tools (like Slack or Jira), and schedule regular check-ins to align with team goals. Adopting strong version control practices and automated testing can also help streamline workflows and minimize errors in a distributed environment.

What is the difference between Remote Ai Data Engineer vs Data Scientist?

AspectRemote Ai Data EngineerData Scientist
Required CredentialsBachelor's in CS, Data Engineering, or related; experience with cloud platformsBachelor's or higher in CS, Statistics, or related; strong analytical skills
Work EnvironmentData pipelines, cloud infrastructure, codingData analysis, statistical modeling, visualization
Employer & Industry UsageTech companies, AI firms, startupsResearch institutions, tech companies, finance
Common Search & ComparisonYesYes

Remote Ai Data Engineers focus on building and maintaining data pipelines and infrastructure for AI applications, requiring skills in data engineering and cloud platforms. Data Scientists analyze data, develop models, and generate insights. While both roles work with data, Data Engineers prepare the data environment, whereas Data Scientists interpret and model the data. They often collaborate but serve different functions in AI and data projects.

What are the most commonly searched types of Ai Data Engineer jobs in Toronto, ON?

The most popular types of Ai Data Engineer jobs in Toronto, ON are:

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

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

Infographic showing various Remote Ai Data Engineer job openings in Toronto, ON as of August 2026, with employment types broken down into 66% Full Time, 23% Part Time, and 11% Contract. Highlights an 100% Remote job distribution.

Data Engineer (Databricks)

Fluent, LLC

Toronto, ON • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement

Posted 11 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.