Fluent, Inc.

Data Engineer (Databricks)

Fluent, Inc.$80K — $90K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's or Master's degree in computer science or related field.
  • 4+ years of experience in Data Engineering, with strong skills in SQL, Python, Spark, and distributed processing.
  • 2+ years in Databricks, utilizing its Data Engineering and Data Warehousing capabilities.
  • Solid foundation in database design, data structures, and algorithms.
  • Experience with modern AI coding assistants in engineering workflows.

Responsibilities

  • Design and implement data engineering solutions in Databricks, adhering to company best practices.
  • Build and maintain data pipelines for syndicated and custom audience segments.
  • Support reporting on segment performance across distribution marketplaces.
  • Explore Databricks' features for real-time processing and operational tasks.
  • Maintain a high-quality codebase with strong data observability and compliance standards.
  • Utilize AI-assisted development tools to improve pipeline efficiency.
  • Collaborate with stakeholders to transform business requests into technical requirements.

Benefits

  • Fully stocked kitchen and catered meals, fostering a healthy work environment.
  • Opportunities for career and professional growth.
  • Modern open-plan headquarters that encourages collaboration.
  • Comprehensive health, dental, and vision insurance.
  • 401K plan with competitive employer match.
  • Participation in volunteer and philanthropic activities throughout the year.
  • Engagement in social events like sports leagues and quarterly team outings.
Full Job Description
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 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.

About Fluent, Inc.

Fluent, Inc. is a data-driven performance marketing company. The company uses proprietary technology to acquire customers for its clients. Fluent was founded in 2010 and is headquartered in New York City. The company's platform uses real-time data to optimize campaigns and improve customer acquisition. Fluent's clients include leading brands in the financial services, healthcare, and retail industries. The company went public in 2015 and is traded on the NASDAQ stock exchange. Fluent has offices in New York, Boston, and Chicago.
Learn more about Fluent, Inc.
Size
261 employees
Market Cap
$77.8 million
Industry
Net Income
$2.9 million
5 Year Trend
+12%
Revenue
$308.7 million
NASDAQ

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