Qode
via Workable
Senior Data Engineer
Compensation
$Not specified
Responsibilities
Developing and maintaining full-stack web applications using modern JavaScript frameworks and cloud platforms.
Requirements
Extensive experience in full-stack web development with TypeScript, React, Node.js, and cloud integrations, with no mention of Hadoop or data engineering skills.
Full Description
Position Title: Senior Data Engineer Comments: Only GC and USC, H4 EAD and L2 EAD and H1B Transfer Job Duties : 8-10 Years experience working in Data Engineering and Data Analysis. Hands on Experience in Hadoop Stack of Technologies ( Hadoop ,PySpark, HBase, Hive , Pig , Sqoop, Scala ,Flume, HDFS , Map Reduce). Hands on experience with Python & Kafka . Good understanding of Database concepts , Data Design , Data Modeling and ETL. Hands on in analyzing, designing, and coding ETL programs which involves Data pre-processing , Data Extraction , Data Ingestion , Data Quality ,Data Normalization & Data Loading. Working experience in delivering projects in Agile Methodology and hands on in Jira. Good understanding of Data Components , Data Processing & Data Analytics on AWS is good to have . Experience with data modeling tools like Erwin is good to have. Preferred Location : Cleveland or Pittsburgh. Master's/bachelor’s in computer science or equivalent fields
This job posting was last updated on 2/18/2026
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