> Markdown version of [/jobs/ext/4256407-cloud-data-engineer](https://www.wearedevelopers.com/jobs/ext/4256407-cloud-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Cloud Data Engineer - **Company:** Congensys Corp - **Location:** Woodbridge Township, NJ, United States - **Experience:** Expert - **Contract:** Contract - **Skills:** Airflow, Big Data, BigQuery, Cloud Database, Data Integration, Extract Transform Load (ETL), Data Warehousing, Python (Programming Language), Microsoft SQL Server, Online Analytical Processing, Online Transaction Processing, SQL Databases, Data Streaming, Unstructured Data, Enterprise Data Management, Snowflake, Apache Spark, Data Lakes, Pyspark, Information Technology, Azure Synapse Analytics, Amazon Redshift, Databricks - **Published:** October 31, 2026 - **Apply:** https://www.dice.com/job-detail/7d35bc04-7ad1-423a-8b85-a0ceb59ed9be ## About the Role We are looking for an experienced Senior Cloud Data Engineer with strong expertise in Azure Databricks, Spark/PySpark, Python, SQL, and enterprise data warehousing. Banking or financial services experience is highly preferred., * 5+ years of Python programming experience. * 5+ years of SQL Server development, working with large datasets. * 5+ years of experience developing and deploying ETL pipelines using Databricks and PySpark. * Strong experience with Azure Databricks and Delta Lake. * Hands-on experience with Snowflake or other cloud data warehouses (Azure Synapse, BigQuery, Redshift). * Strong understanding of data warehousing concepts, including OLTP, OLAP, Fact Tables, Dimension Tables, and Data Modeling. * Experience designing and developing enterprise data warehouse solutions. * Knowledge of event-driven and streaming data technologies. * Experience with structured, semi-structured, and unstructured data. * Strong understanding of cloud data architecture, data integration, security, and governance. * Experience optimizing and troubleshooting Databricks jobs for performance and scalability. * Strong architectural and design skills, including enterprise cloud data platform migration experience. Preferred Skills: * Banking or financial services domain experience. * Apache Airflow experience. * Relevant cloud certifications. Education: Bachelor's degree in Engineering, Computer Science, or a related discipline. Additional Requirements: * Senior-level candidates only. * Local NJ/NY candidates strongly preferred. * Must be comfortable attending a potential final face-to-face interview in NYC or Jersey City. * Hybrid onsite requirement: 1-2 days per week in Iselin, NJ.