The Opportunity The 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 world’s business contacts and company profiles. The primary role of the data engineer is to improve the accuracy of our data recommendations that predicts every professional’s 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.

Apply today if you have:

• 5+ years of hands-on professional (not academic) experience in pioneering data engineering and/or big data

• Working experience in an AGILE environment with modern SDLC

• Expert knowledge of data engineering, predictive modeling, statistics and machine learning in general. Deep experience with algorithms, statistics, and data analytics

• 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)

Check out what our employees think about working at Seamless: CLICK HERE

$60,000 — $120,000/year