Data Engineer Jobs in Jersey City, NJ

Design, build, maintain, and test big data solutions and preprocessing/reporting pipelines. Collect, parse, manage, analyze, and visualize large datasets. Test and deploy machine learning models for scoring and prediction. Collaborate in agile teams to deliver scalable, reusable code and production-ready analytics on cloud platforms.

Design, develop, test and maintain scalable big-data solutions and workflows. Collect, parse, analyze and visualize large datasets; evaluate, test and deploy machine-learning models for scoring and prediction. Work in an agile team, automate tasks using scripting, and leverage Hadoop/Spark and AWS for production pipelines.

Develop and maintain real-time market data feeds, focusing on performance and latency improvements in a collaborative environment.

Lead design and implement scalable PySpark data pipelines in a Hadoop ecosystem. Build batch and real-time workflows, optimize distributed processing, write complex SQL, automate scheduling with shell/Autosys, design data models, resolve technical risks, and coach mid-level engineers to meet business goals while ensuring compliance and data integrity.