Data Engineer Snowflake and Databricks -New York, NY -HybridJoin our Talent Community for New York. Local postings emphasize production grade ELT on Snowflake and Databricks with strong Python and SQL and Airflow and dbt plus secure data sharing and cost governance. Demand is deep across banks and fintechs with senior ranges at the top of the market.As a Data Engineer you will build reliable pipelines and modular models on Snowflake and Databricks, optimize cost and performance, and deliver trusted data for risk and finance and product analytics.Requirements:5 to 8 years in data engineering within financial services or high scale platformsHands on Snowflake warehouses and roles and RBAC and tasks and streamsHands on Databricks PySpark and Delta Lake and Unity Catalog and jobsStrong SQL and Python and performance tuning and partitioning and cachingOrchestration Airflow or dbt or Azure Data Factory or AWS GlueCI and CD with Git and pull requests and automated testsNice to have Kafka or Kinesis and event driven patternsResponsibilities:Design and deliver ELT pipelines with reproducible code and testsModel data sets for analytics and BI and ML using medallion style layersImplement data quality checks and SLAs with alerts and lineageTune warehouses and clusters and storage formats for cost and speedHarden security roles and policies and secrets and PII handlingOutcomes we track:Pipeline success rate 99.5% with data freshness SLAs met 95%+Cost per query reduced 20% in 90 days through tuningData quality defects per release < 2 with automatic rollbackCompensation and terms:Consultant pay $100 to $170 per hourContract Hybrid New York NY or Remote US W2 or 1099Keywords:Snowflake, Databricks, Delta Lake, Unity Catalog, PySpark, SQL, Python, dbt, Airflow, Azure Data Factory, AWS Glue, Kafka, Cost Optimization, Role Based Access, Lineage, Data Quality, New York