Data Engineer - Spark, AWS EMR & AI

Budget: $50.0 FIXED / ⭐ 4.97 (177) United States

data-source-integration, data-migration, database-architecture, database-design, sas, algorithm-development, reverse-engineering, apache-spark, amazon-s3, etl-pipelines, machine-learning, aws-lambda, python, amazon-web-services, hadoop, apache-kafka, pyspark

Preferred qualifications

Experience: Expert

We’re seeking a Data Engineer to support a 6-month project focused on building scalable data pipelines and AI-driven analytics. You’ll work with Spark and AWS EMR to process large datasets, optimize workflows, and help deliver insights that support business decisions. The role involves collaborating with cross-functional teams, improving data infrastructure, and ensuring reliable data processing. This is a full-time opportunity for someone who can contribute to both pipeline development and AI-focused data initiatives.

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