Hadoop Data Engineer (Remote)

Senior Hadoop Developer Contract | Remote | Full-Time Hours We are seeking a Senior Hadoop Developer to support enterprise scale healthcare data processing initiatives. This role is focused on building and supporting distributed data pipelines using Hadoop, Spark, Python, and SQL in a production environment. This is not a reporting or analytics role. You will be hands-on developing, enhancing, and supporting large-scale data processing systems that operate across multiple platforms. Requirements 5+ years of professional experience in data engineering or software development roles Strong hands-on experience with Hadoop Experience developing Spark jobs for batch processing Strong programming experience in Python (Scala a plus) Solid SQL development experience Experience supporting production data systems Healthcare or regulated-industry experience is a plus, not required Responsibilities Design and develop moderately complex data processing solutions across Hadoop-based platforms Build and enhance Spark-based batch workflows Write and optimize Python and SQL code Review code developed by peers and contribute to development standards Write detailed technical specifications and identify integration points Perform unit testing and debugging across development and release cycles Ensure security, data integrity, and availability standards are met Education Bachelor’s degree in Computer Science, Mathematics, or related field, or equivalent practical experience