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Python Data Engineer Cloud
Job Location:
Job Location:
Iselin, NJ - USA
Hourly Salary:
USD 80 - 85
Hourly Salary:
Posted:
1 November 2026 (2 days ago)
Posted:
Application Deadline:
29 January 2027
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Our client a major bank in Central NJ is looking for hands-on Cloud Data Engineer with strong Python SQL ETL.
This role is hybrid commute (1/2 days per week on-site).
This is 12 months contract with possible extensions or option to hire.
Rate: $80-85/h on W2 DOE possible C2C as well.
Cloud Data Engineer
Description:
The Cloud Data Engineer is responsible for designing building and maintaining scalable data pipelines and Azure cloud platforms. This role involves working with large datasets optimizing data workflows and ensuring secure efficient data storage and processing in cloud environments.
Major Responsibilities:
Build and optimize data pipelines for efficient data ingestion transformation and loading from various sources while ensuring data quality and integrity.
Design develop and deploy Spark program in Databricks environment to process and analyze large volumes of data.
Experience of Delta Lake DWH Data Integration Cloud Design and Data Modelling.
Proficient in developing programs in Python and SQL
Experience with Data warehouse Dimensional data modeling.
Working with event based/streaming technologies to ingest and process data.
Working with structured semi structured and unstructured data.
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.
Proficient writing SQL queries and programming including stored procedures and reverse engineering existing process.
Perform code reviews to ensure fit to requirements optimal execution patterns and adherence to established standards.
Skills:
5 years Python coding experience.
5 years - SQL Server based development of large datasets
5 years with Experience with developing and deploying ETL pipelines using Databricks Pyspark.
Experience in any cloud data warehouse like Synapse Big Query Redshift Snowflake.
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.
Experience with Cloud based data architectures messaging and analytics.
Cloud certification(s).
Any experience with Airflow is a Plus.
Please email your resume or use this link to apply directly:
This role is hybrid commute (1/2 days per week on-site).
This is 12 months contract with possible extensions or option to hire.
Rate: $80-85/h on W2 DOE possible C2C as well.
Cloud Data Engineer
Description:
The Cloud Data Engineer is responsible for designing building and maintaining scalable data pipelines and Azure cloud platforms. This role involves working with large datasets optimizing data workflows and ensuring secure efficient data storage and processing in cloud environments.
Major Responsibilities:
Build and optimize data pipelines for efficient data ingestion transformation and loading from various sources while ensuring data quality and integrity.
Design develop and deploy Spark program in Databricks environment to process and analyze large volumes of data.
Experience of Delta Lake DWH Data Integration Cloud Design and Data Modelling.
Proficient in developing programs in Python and SQL
Experience with Data warehouse Dimensional data modeling.
Working with event based/streaming technologies to ingest and process data.
Working with structured semi structured and unstructured data.
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.
Proficient writing SQL queries and programming including stored procedures and reverse engineering existing process.
Perform code reviews to ensure fit to requirements optimal execution patterns and adherence to established standards.
Skills:
5 years Python coding experience.
5 years - SQL Server based development of large datasets
5 years with Experience with developing and deploying ETL pipelines using Databricks Pyspark.
Experience in any cloud data warehouse like Synapse Big Query Redshift Snowflake.
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.
Experience with Cloud based data architectures messaging and analytics.
Cloud certification(s).
Any experience with Airflow is a Plus.
Please email your resume or use this link to apply directly:
Required Experience:
IC
