Data Engineer (Databricks)

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, you will bring your Databricks pipeline expertise to execute on building data products to power Fluent's business lines. These data products will be the foundation for sophisticated data representation of customer journeys and marketplace activity.

You are known as a strong and efficient IC Data Engineer, with the ability to assist the Data Architect vetting the translation of an Enterprise Data Model to physical data models and pipelines. You are familiar with Databricks medallion architecture, and how to work backwards from your enterprise models of Gold Data Products. You are considered an expert in Spark.

You will work with your counterparts to build and operate high-impact data solutions. This role is fully Remote in the United States or Canada, with occasional travel to NYC.

Key Responsibilities:

• Develop, deploy, and manage scalable pipelines on Databricks
• Implement real-time data processing and streaming
• Contribute to maintaining high-quality code base with comprehensive data observability
• Partner with data science, UI, and reporting teams
• Keep track of emerging tech within the Databricks ecosystem
• Share knowledge through brown bags and tech talks
• Empower internal teams with communication on architecture and best practices

Requirements:

• Bachelor's or Master's degree in computer science
• 3+ years of industry experience in Data Engineering, including expertise in Spark and SQL
• 1+ years of experience with Databricks environment
• Familiarity with real-time ML systems within Databricks is a plus

Benefits include competitive compensation, career growth opportunities, health insurance, 401K with employer match, and various social and educational events.