• Location: USA, Utah, Salt Lake City
  • Salary: US$145000 - US$146000 per annum + Remote
  • Technology: AWS Big Data Jobs
  • Job Type: Permanent
  • Date Posted: 12th Apr, 2019
  • Reference: 26112018jp_1555107392
AWS Data Engineer- Consulting- Utah-$145K + Remote

I am working with a start up organization that has a native SaaS solution that sits on AWS. This product is a one stop product for organizations with large data pieces. You will be working with large enterprise organizations that lack the technical ability to provide a powerful data analytics solution.

My client is looking to grow their team by 3 individuals in the next year, starting out with AWS and Engineering team. This position does require at least 1 day a week in office. Local candidates are encouraged to apply.

***Must have experience with AWS and a passion for the business side of data***

AWS Requirements:

* Redshift
* EC2
* S3
* Hive
* Lambda
* DynamoDB
* Kinesis
* Glue
* Athena

If you or someone you know is interested in this position, please send your resume directly to j.palmer@jeffersonfrank.com or call 303.558.4356.

Jefferson Frank is the Amazon Web Services (AWS) recruiter of choice. We work with organizations worldwide to find and deliver the best AWS professionals on the planet. Backed by private equity firm TPG Growth, we have a proven track record servicing the AWS permanent and contract recruitment market and, to date, have worked with over 30,000 organizations globally from our offices in North America, Europe, and Asia-Pacific.

At Jefferson Frank, our mission is simple: we want happy customers. Whether you're an AWS professional walking into your dream AWS job, or an organization hiring an incredible contractor for your cloud migration project, our goal is to deliver an unrivalled customer experience. Work with us and you'll get the personalized experience you deserve - one you'll simply not find at any other recruitment agency. At Jefferson Frank, we find great people great jobs in AWS.

SaaS/AWS/ Salt lake City/ Utah/ Engineer/ Software Engineer/ Senior Engineer/ Amazon Web Services/ Data pipeline/ Data Warehouse/