Who you are

- 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 workplace 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

What the job involves

- 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





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

- Health &
- Wellness: We want our people to be their best selves both on and off the clock. We try to make that easier by offering multiple health insurance plans, on-demand instructor-led fitness and meditation sessions, and mental health resources like real-time texting therapy.

- Work-Life Balance: Balance is the key to a happy workplace. We provide unlimited vacation days and flexible work schedules to reward our team for their hard work. We encourage our people to take the time they need for themselves and their loved ones so they can equally support the demands of their personal lives while maintaining high levels of performance.

- Rewards &

- Retirement: We acknowledge results and award our people for their persistent drive to succeed. Fluent offers competitive salaries and generous bonus/commission plans, in addition to a 401k employer match.

- Growth &

- Development: We encourage curiosity and provide our people with the tools and resources to learn and grow. From internal Fluent University courses and company-wide DEI workshops to corporate She Runs It memberships, we offer continuous opportunities for personal and professional development.

- Camaraderie &

- Fun: Our beautiful HQ in downtown NYC offers an amazing backdrop for weekly catered lunches, celebratory gatherings, and monthly all-hands meetings. With our staff decentralized across North America, we love the chance to see each other in person but also connect virtually on initiatives such as DEI and giving back.

📌 Data Engineer (Canada)
🏢 Fluent
📍 Canada