Senior Databricks Data Engineer

Location: Los Angeles, CA Onsite/ Hybrid/ Remote: Hybrid (Once a week onsite) Duration: 12 Months Rate Range: Upto $89/hr on C2C or $82/hr on W2 Work Authorization: GC, USC, All valid EADs except H1B, OPT, CPT Must Have: • Databricks and Snowflake for data platforms • Spark or PySpark with Python for batch processing • Advanced SQL with query tuning, partitioning, clustering • Data modeling using star, snowflake, SCD, OBT, normalized models • Experience with Medallion architecture • Data ingestion pipelines and large-scale migrations • Orchestration tools for data workflows • Data platform debugging and observability Responsibilities: • Design and build large-scale data pipelines for ingestion and transformation • Develop ETL and ELT frameworks using Databricks and Spark • Optimize SQL queries and improve data performance • Build and maintain scalable data models across lakehouse platforms • Lead data migration efforts across systems and environments • Implement orchestration for reliable data workflows • Monitor data pipelines and resolve production issues • Ensure governance, data quality, and observability across platforms Qualifications: • 7+ years in data engineering or data platform roles • Strong hands-on experience with Databricks or Snowflake • Deep expertise in SQL and distributed data processing • Experience building scalable data models and architectures • Proven experience with large-scale data migrations • Bachelor’s degree in Computer Science or related field Nice to Have: • Experience with ML data pipelines and feature engineering • Exposure to streaming frameworks like Kafka • Knowledge of cloud platforms like AWS, Azure, or GCP • Experience with data governance tools and frameworks