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Data Engineer
remoterocketship
- New York, New York, United States
- New York, New York, United States
About
Collect, manage, and transform large-scale raw data from multiple sources into structured, reliable, and usable formats that meet business and analytical requirements. Design, develop, and maintain data architectures, pipelines, and applications using appropriate tools and frameworks to support scalable data processing and product development. Build and maintain robust extract, transform, and load (ETL) processes that ensure data accuracy, efficiency, and availability across systems. Perform root cause analysis to identify data issues, system inefficiencies, or process gaps, and implement improvements that enhance data quality and operational performance. Work in an agile Scrum environment by contributing to sprint planning, development tasks, testing, and sprint reviews to deliver reliable and scalable data solutions Requirements:
Bachelor’s in Computer Science, Mathematics, Statistics, or related field (or equivalent experience) 2+ years in data engineering, data analysis, or similar roles Experience with ETL, data warehousing, and scalable data systems. Solid understanding of statistical methods and data analysis Strong communication skills with ability to work independently and in teams Proficiency in Python and SQL; familiarity with Java, C/C++, or similar Strong software engineering, programming, and QA skills Experience with Linux/Unix (POSIX systems) and Git Experience with Docker, Terraform, and AWS (Batch, EMR/Spark, ecosystem tools) Familiarity with GitLab and Scala
Languages
- English
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