Onsite contract in Edison NJ area (4x per week)

Long term contract: 3 year commitment

Rate: 80-100/Hour USD

Previous experience working in Finance, ideally Capital Markets, required.

We’re looking for an experienced Data Engineer to join our client's team and drive the development of cutting-edge data solutions. If you have a passion for optimizing big data pipelines, working with cloud platforms, and delivering high-impact insights, this role is for you!

What You’ll Do:

• Design and build scalable data pipelines for seamless ingestion, transformation, and integration across diverse sources.

• Develop and optimize Spark applications in Databricks to process and analyze large datasets efficiently.

• Implement Delta Lake, data modeling, and cloud-based warehousing solutions.

• Write clean, efficient code in Python, SQL, and PySpark to support data processing needs.

• Work with structured, semi-structured, and unstructured data in event-driven and streaming environments.

• Ensure high performance and scalability of Databricks workloads, while troubleshooting and optimizing jobs.

• Enforce best practices in data governance, security, and compliance across cloud-based platforms.

• Conduct code reviews to ensure optimal execution and adherence to industry standards.

Must-Have Skills:

• Expertise in Databricks & Snowflake

• Advanced SQL & Python development

• Hands-on experience with ADF & PySpark

• Strong Data Warehouse architecture & modeling knowledge

Preferred Experience:

• 8+ years of Python and SQL coding experience

• ETL development using Databricks and PySpark

• Familiarity with cloud data warehouses (Synapse, BigQuery, Redshift, Snowflake)

• OLTP & OLAP, Dimensional Data Modeling expertise

• Experience leading cloud data migrations and architecting scalable solutions

• Cloud certifications are a plus!