• Location: USA, Massachusetts, Boston
  • Salary: Up to US$150000 per annum + Bonus
  • Technology: AWS Big Data Jobs
  • Job Type: Permanent
  • Date Posted: 11th Feb, 2019
  • Reference: Jf/021119CC_1549925619
Lead Big Data Engineer - Boston, MA - $130-150K

A Fortune 500 client in Boston is in search of a Big Data Engineer for their newly founded Data Engineering team. You'll be at the forefront of building out their Big Data platform! The ideal candidate should have experience with the Hadoop Ecosystem, specifically hands on with Spark and Hive. This candidate should also have experience working in a cloud environment, preferably AWS or Azure. If you or someone you know is interested, please read the requirements below and apply!

Lead Big Data Engineer - Boston, MA - $130-150K


* Experience working on projects in a cloud environment - preferably AWS or Azure
* Experience with the Hadoop Ecosystem - specifically Spark and Hive
* Experience with scripting languages Python, Java, and Scala
* Experience using ETL development tools such as Talend or Informatica
* Experience with Data Warehousing/Data Lake architecture


* 401k & Pension Plan
* Bonus structure
* 1 month PTO
* Fully paid benefits

If you are interested in this position, please call me (Casey Carton) at 212-731-8282 or simply send me your resume to my email address - c.carton@jeffersonfrank.com. Act fast, as this opportunity will most likely be off the market in the near future.

I understand the need for discretion and would welcome the opportunity to speak to any Big Data and cloud analytics candidates that are considering a new career or job either now or in the future. Confidentiality is of the upmost importance. For more information on available BI jobs, as well as the Business Intelligence, Big data and cloud market, I can be contacted at 212-731-8282. Please see www.jeffersonfrank.com for more information.

AWS / Big Data / IoT / Hadoop / Hive / Pig / Spark / R / Scala / Pyspark / Azure / GCP / HD Insight / SQL Data Warehouse / Data Lake / Stream Analytics / Machine Learning / Spark / Redshift / EMR / EC2 / S3 / Presto / Kinesis / Analytics / Boston / United States