nThe OpportunitynThe Senior Data Engineer will be the go to person on our rapidly expanding engineering team solving all our data challenges for billions of data points related to the worlds business contacts and company profiles. The primary role of the data engineer is to improve the accuracy of our data recommendations that predicts every professionals emails, phone numbers and websites with the highest level and degree of accuracy possible. This person will have an opportunity to solve significant data problems that are positively impacting millions of business professionals and helping the world connect to opportunity and each other faster than ever before.n nnApply today if you have:nnn* 5+ years of hands-on professional (not academic) experience in pioneering data engineering and/or big datann* Working experience in an AGILE environment with modern SDLCnn* Expert knowledge of data engineering, predictive modeling, statistics and machine learning in general. Deep experience with algorithms, statistics, and data analyticsnn* Experience/knowledge in our more major technical & programming languages/cloud computing including but not limited to: Aurora PostgreSQL, AWS Redshift, AWS Glue, AWS EMR, AWS Spark (Scala/Python/PySpark), AWS QuickSight, Presto, DynamoDB, Redis, ELK stack, Node.JS, Pandas (Python Library)nnnnCheck out what our employees think about working at Seamless: CLICK HEREn nn#Salary and compensationn No salary data published by company so we estimated salary based on similar jobs related to Design, Testing, Senior, Internship, Digital Nomad, Marketing, Sales, SaaS, Microsoft, Legal and Engineer jobs that are similar:nn $60,000 $120,000/yearn nn#LocationnColumbus, Ohio, United States

Tagged as: Data Engineer, postgresql, Python, SQL

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