• Location: USA, Massachusetts, Boston
  • Salary: Up to US$170000 per annum
  • Technology: AWS Big Data Jobs
  • Job Type: Permanent
  • Date Posted: 20th Sep, 2019
  • Reference: JF/092019CC_1569012443
Senior Software Data Engineer - Cambridge, MA - $150-170K

My client is a well-funded startup in downtown Boston that is the leading mobile engagement platform. They are looking for an expert Senior Software Engineer to join their team. Part of your responsibility will be to help build scalable backend services and tools that leverage big data in their platform. This opportunity will allow you to work with the following technologies in a production environment:

* AWS Ecosystem (Kinsesis, DynamoDB, RDS, SQS)
* Big Data Analytics
* Programming languages Scala, Java, Python
* Perform analytics on petabytes of data reaching billions of users monthly

Senior Software Data Engineer - Cambridge, MA - $150-170K

Requirements:

* Proficiency with Python, Scala or Java
* Hands on experience with the AWS Ecosystem
* Experience with Snowflake data warehouse
* Experience with Big Data tools (Hadoop, Spark, Hive, etc.) is a plus
* Experience working with distributed systems

Benefits:

* Extremely competitive base salaries & full benefits
* Stock options
* Flexible work from home options
* Unlimited PTO

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 AWS Big Data candidates that are considering a new career or job either now or in the future. Confidentiality is of the utmost importance. For more information, 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

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