Senior Databricks Data Engineer

Location: Los Angeles, CAOnsite/ Hybrid/ Remote: Hybrid (Once a week onsite)Duration: 12 Months Rate Range: Upto $89/hr on C2C or $82/hr on W2Work Authorization: GC, USC, All valid EADs except H1B, OPT, CPTMust Have:Databricks and Snowflake for data platformsSpark or PySpark with Python for batch processingAdvanced SQL with query tuning, partitioning, clusteringData modeling using star, snowflake, SCD, OBT, normalized modelsExperience with Medallion architectureData ingestion pipelines and large-scale migrationsOrchestration tools for data workflowsData platform debugging and observabilityResponsibilities:Design and build large-scale data pipelines for ingestion and transformationDevelop ETL and ELT frameworks using Databricks and SparkOptimize SQL queries and improve data performanceBuild and maintain scalable data models across lakehouse platformsLead data migration efforts across systems and environmentsImplement orchestration for reliable data workflowsMonitor data pipelines and resolve production issuesEnsure governance, data quality, and observability across platformsQualifications:7+ years in data engineering or data platform rolesStrong hands-on experience with Databricks or SnowflakeDeep expertise in SQL and distributed data processingExperience building scalable data models and architecturesProven experience with large-scale data migrationsBachelor’s degree in Computer Science or related fieldNice to Have:Experience with ML data pipelines and feature engineeringExposure to streaming frameworks like KafkaKnowledge of cloud platforms like AWS, Azure, or GCPExperience with data governance tools and frameworks