Join Fluent, Inc. as a Data Engineer focusing on Databricks to streamline data processes and enhance audience targeting. Embrace a role that pairs data engineering with creative AI tools.

In this position, you'll work on data orchestration and delivery within the Databricks environment, following Fluent’s best practices. Your background in SQL, Python, and Spark, combined with experience in AI-assisted coding, will contribute to effective pipeline development and data handling.

Partner with fellow engineers and meet business objectives with effective data segment reporting.

Key Responsibilities:
Build and optimize data pipelines for custom audience segments
Leverage Databricks features for operational workloads




Enhance real-time processing capabilities using Spark
Document best practices and tech insights
Maintain comprehensive code observability and data privacy

Requirements:
Computer Science-related degree or equivalent experience
Minimum 4 years as a Data Engineer
2+ years in the Databricks ecosystem
Expertise in SQL and distributed data processing
Familiarity with AI coding tools

Transform data into insights and drive success at Fluent by applying up-to-date engineering practices.
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📌 Data Engineering Expert At Fluent Winnipeg
🏢 NEPSE Trading
📍 Winnipeg