Data Engineer, Databricks

🔥 13 hours ago

🌐 Canada, United States – Remote

🇨🇦 Canada – Remote 🇺🇸 United States – Remote

💵 $80k - $90k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 0%

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Fluent, Inc

WebsiteLinkedInAll Job Openings

201 - 500 employees

🤝 B2B

📣 Marketing

B2B • Marketing

Fluent, Inc. is a marketing and advertising company headquartered in New York City, established in 2010. It serves as a trusted acquisition partner for both established and growing brands, leveraging proprietary first-party data to create effective marketing programs. Fluent focuses on customer acquisition, publisher monetization, and advertising technology, aiming to deliver enhanced digital advertising experiences for consumers while providing measurable results for advertisers.

📋 Description

• Build data products powering Fluent's Audience Solutions business, translating raw survey and behavioral signals into declared and modeled audiences • Develop tables, views, jobs/pipelines, and orchestration within the Databricks environment • Follow Fluent’s data model and architecture best practices • Elevate standards across testing, code repository, CI/CD, and naming conventions • Build and maintain pipelines delivering syndicated and custom audience segments • Support delivery and performance reporting of finished segments on LiveRamp, TruAudience (TransUnion), and Lotame • Investigate and leverage Databricks capabilities for real-time processing and operational workloads, including Spark Structured Streaming and Lakeflow Declarative Pipelines • Maintain a high-quality codebase with data observability, metadata standards, best practices, and compliant consumer-data handling • Apply AI-assisted development practices using tools such as Claude Code for pipeline development, testing, and documentation • Partner with Data Engineering, Data Science, and commercial stakeholders to define business requests and translate them into functional requirements • Track emerging technology and trends within the Databricks ecosystem • Share knowledge through brown bags and tech talks, and evangelize engineering best practices • Provide internal teams with 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 Jobs & Workflows, Notebooks, Unity Catalog, and Delta Lake • Strong foundation in database design, data structures, and algorithms • Experience using AI coding assistants such as Claude Code or 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, and Databricks Apps • Nice to have: prior experience in digital marketing, ad-tech, media/advertising, or related field • Nice to have: familiarity with audience, identity, or consumer segmentation data • Nice to have: experience with data marketplaces such as LiveRamp, TransUnion, and/or Lotame • Fluent participates in the E-Verify Program and follows applicable federal work authorization regulations

🏖️ 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 • Fully stocked kitchen • Catered breakfast and lunch • Activity-filled events • Recreational sports leagues • Networking with She Runs It • Quarterly outings to baseball games, fancy dinners, and pizza-making classes • Opportunity to work for a high-flying performance marketing company