Senior Data Engineer – Databricks

Job Description 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