Data Engineer (Databricks)

Fluent, LLC • Toronto, ON

7h • CA$80,000 - CA$90,000 • Remote

About The Position

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 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.

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 Haves

• familiarity with Databricks emerging technologies and latest offerings such as: Genie, Lakebase, AI/BI Dashboards, Databricks Apps.
• 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

Responsibilities

• 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.

Benefits

• 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!

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level