Sr. Databricks Engineer (15+ Yrs Required)

Job Description: We are seeking an experienced Senior Data Engineer to design, develop, and optimize scalable data platforms that power enterprise analytics, machine learning, and AI-driven solutions. The ideal candidate will bring deep expertise in modern data engineering practices, cloud-native architectures, Lakehouse platforms, and distributed data processing technologies. This role will play a critical part in building reliable, high-performance data ecosystems leveraging Databricks, Spark,

job summary: We are seeking an experienced Senior Data Engineer to design, develop, and optimize scalable data platforms that power enterprise analytics, machine learning, and AI-driven solutions. The ideal candidate will bring deep expertise in modern data engineering practices, cloud-native architectures, Lakehouse platforms, and distributed data processing technologies. This role will play a critical part in building reliable, high-performance data ecosystems leveraging Databricks, Spark, De

This position requires a mandatory in person interview and in person onboarding. Senior Data Engineer Contract Length: Until 12/31/26 with possible extension Location: New York, NY Work Setup: Hybrid We are seeking an experienced Senior Data Engineer to design, develop, and optimize scalable data platforms that power enterprise analytics, machine learning, and AI-driven solutions. This role will build reliable, high-performance data ecosystems using Databricks, Spark, Delta Lake, Snowflake,

Please do not send your resume if you are not physically local to NYC/NJ as in-person interview is required. Job Title - Data Engineer Location - New York, NY (Hybrid) Duration - 12+ Months About the Role: We are looking for a skilled Data Engineer to design, build, and maintain scalable data pipelines and infrastructure that power our analytics and machine learning capabilities. You will work cross-functionally with data scientists, analysts, and product teams to ensure data is reliable, access