Data Engineer

Parsippany, NJ (In person interview Needed)

Position Summary:

We are seeking an experienced Senior Data Engineer to join a high-performing data team responsible for designing and building scalable data solutions in a cloud environment. The ideal candidate will have strong hands-on experience with modern data engineering tools and frameworks, particularly within the AWS ecosystem, and a proven ability to build reliable and efficient data pipelines.

This role requires a strong technical foundation in data processing, distributed systems, and cloud-based data platforms, along with the ability to collaborate effectively with engineering teams and stakeholders.

Key Responsibilities

• Design, develop, and maintain scalable and reliable data pipelines.
• Build and optimize data processing workflows using Py Spark and SQL.
• Develop and manage data solutions using Databricks.
• Work with AWS data services such as DynamoDB and AWS Glue.
• Ensure high data quality, reliability, and performance across data pipelines.
• Monitor and troubleshoot data workflows to ensure operational stability.
• Collaborate with cross-functional engineering and data teams to support analytics and data-driven initiatives.
• Implement best practices for data engineering, including performance tuning, data governance, and pipeline optimization.
• Contribute to architectural decisions related to data infrastructure and processing frameworks.

Required Qualifications

• 8+ years of experience in data engineering or a related field.
• Strong hands-on experience with Databricks.
• Proficiency in Py Spark and SQL for large-scale data processing.
• Experience working with AWS services, particularly DynamoDB and AWS Glue.
• Demonstrated experience developing and maintaining production-grade data pipelines.
• Solid understanding of distributed data processing and data architecture principles.
• Strong problem-solving skills and the ability to work in a fast-paced engineering environment.

Preferred Qualifications

• Experience applying AI or machine learning techniques to data quality, monitoring, or pipeline optimization.
• Experience working with large-scale cloud data platforms and modern data engineering best practices.
• Strong collaboration and communication skills when working with technical teams.