Fluent is building the next generation advertising network, Partner Monetize & Advertiser Acquisition. As a Senior Data Engineer, you will leverage your Databricks and Spark expertise to execute on building enterprise-grade data products that power Fluent’s business lines.
Requirements
- 5+ years of experience in Data Engineering, including strong Spark (PySpark) and SQL expertise.
- 3+ years of hands-on experience building pipelines on Databricks (Workflows, Notebooks, Delta Lake).
- Deep understanding of Apache Spark distributed processing model and internals.
- Strong experience with streaming data architectures and event-driven processing using Kafka.
- Familiarity with Databricks metrics, observability, and monitoring features.
- Understanding of Unity Catalog and Lakehouse architecture.
- Knowledge of idempotent processing patterns and robust data modeling.
- Proficiency in Git-based, CI/CD-driven development workflows.
- Strong debugging, optimization, and performance tuning skills.
- Proven experience building large-scale data pipelines handling massive volumes of data.
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
- The amazing opportunity to work for a high-flying performance marketing company!