Integration Data Engineer MUST be local to Iselin, NJ, Hybrid Schedule at least 3 days onsite Salary Range: $77k to $135k No Sponsorship Available We are seeking an Integration Data engineer with a background in SQL and data warehousing for enterprise level systems. The ideal candidate is comfortable working with business users along with business analyst expertise. Major Responsibilities: Design, develop, and deploy Databricks jobs to process and analyze large volumes of data. Collaborate with data engineers and data scientists to understand data requirements and implement appropriate data processing pipelines. Optimize Databricks jobs for performance and scalability to handle big data workloads. Monitor and troubleshoot Databricks jobs, identify and resolve issues or bottlenecks. Implement best practices for data management, security, and governance within the Databricks environment. Experience designing and developing Enterprise Data Warehouse solutions. Demonstrated proficiency with Data Analytics, Data Insights Proficient writing SQL queries and programming including stored procedures and reverse engineering existing process Leverage SQL, programming language (Python or similar) and/or ETL Tools (Azure Data Factory, Data Bricks, Talend and SnowSQL) to develop data pipeline solutions to ingest and exploit new and existing data sources. Perform code reviews to ensure fit to requirements, optimal execution patterns and adherence to established standards. Skills: 5+ years - Enterprise Data Management 5+ years - SQL Server based development of large datasets 5+ years with Data Warehouse Architecture, hands-on experience with Databricks platform. Extensive experience in PySpark coding. Snowflake experience is good to have 3+ years Python (numpy, pandas) coding experience 3+ years' experience in Finance / Banking industry – some understanding of Securities and Banking products and their data footprints. Experience with Snowflake utilities such as SnowSQL and SnowPipe - good to have Experience in Data warehousing - OLTP, OLAP, Dimensions, Facts, and Data modeling. Previous experience leading an enterprise-wide Cloud Data Platform migration with strong architectural and design skills Capable of discussing enterprise level services independent of technology stack Experience with Cloud based data architectures, messaging, and analytics Superior communication skills Cloud certification(s) preferred Any experience with Regulatory Reporting is a Plus Education Minimally a BA degree within an engineering and/or computer science discipline Master's degree strongly preferred