Description

You will own the design, development, and optimization of large-scale ETL pipelines to ensure data accuracy and performance.

This role is on-site.

Responsibilities

• Architect and implement scalable, secure data solutions for existing and new systems.
• Troubleshoot and resolve complex data issues across various production environments.
• Enforce data quality, consistency, and governance standards across data workflows.
• Mentor junior engineers and participate in architectural decision-making and code reviews.

Required Skills

• 10+ years of experience in Data Engineering or a related field.
• Strong proficiency in Oracle.
• Hands-on experience with big data technologies including Spark, Scala, and Hadoop.
• Experience leveraging cloud platforms such as AWS or Azure.
• Demonstrated understanding of Agile Development methodologies.
• Bachelor's degree in Computer Science or a related field.

Preferred Skills

• Background in Healthcare IT, specifically payer systems or payment integrity.
• Experience with Apache NiFi for data pipeline orchestration.

Key Skills

Education

Bachelor's degree