Majority of the role will be data engineering: tables, views, jobs/pipelines, and orchestration within the Databricks workplace, 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.

Empower internal teams by providing communication on architecture, execution plans, releases, and training.

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., 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

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.

Our team is a tight-knit crew of go-getters; 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.

New Headquarters with an open floor plan to drive collaboration

Health, dental, and vision insurance

Pre-tax savings plans and transit/parking programs

Volunteer and philanthropic activities throughout the year

Educational and social events

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.

📌 Senior Data Engineer (English Required) (Winnipeg)
🏢 NEPSE Trading
📍 Winnipeg