Hiring for Brand New Data Engineering Team (Fortune 100 Backed Startup)

Location: New York, New York
Date Posted: 10-04-2018
**No sponsorship now or in the future being offered***

Client: Startup Company backed by Fortune 100
Brand New Data Engineering Team (hiring for 5 roles)
Onsite in Financial District NYC

We are focused on candidates with the following experience:
  • Expertise in AWS technologies eg. Redshift, RDS, S3, Spectrum, EMR, Athena, Glue, etc.
  • Software development background : Python, Java, Scala, etc.
  • Use of modern ETL tools eg. Glue
  • Data visualization – knowing something like D3, Quicksight along with traditional tools is a big plus
For the Data Visualization candidates, we are open to reviewing candidates with 2-4 years of professional experience.

sailteam.io has been engaged to build a new Data Engineering team at an InsurTech startup backed by a Fortune 100 company in lower Manhattan. This is a team reporting to the Head of Data Engineering. There are 5 roles we are hiring for.

HIGHLIGHTS
  • Client doesn’t offer any sponsorship now or in the future.
  • These are permanent roles requiring work onsite Monday through Friday.
  • Seeking all hands-on senior level candidates
  • Compensation is above market by design - very attractive team, company and compensation plan
HIRING FOR THE FOLLOWING ROLES:
  1. Data / AWS Architect: Hands-on and has strong knowledge of architecting data systems / data pipelines using AWS native technologies
    1. Expertise in AWS technologies eg. Redshift, RDS, S3, Spectrum, EMR, Athena, Glue, etc.
    2. Batch and streaming data; structured and unstructured data
    3. Data security / access, catalog, organization, resiliency, visualization
    4. Data Analytics
    5. Cloud technology options
  2. Python/Scala Software Engineers (2)
    1. Hands-on and who is very familiar with AWS technologies (compute,  storage, database, analytics, visualization and management) including their automated deployment
    2. Will be able to build data ingestion, storage, management and processing systems
    3. Software development background : Python, Java, Scala, etc.​
  3. ETL developer
    1. Hands on and who can implement ETL (and migrate legacy ETL) using cloud native technologies
    2. Use of modern ETL tools
  4. Data Analyzer / BI (Javascript/D3 Developer)
    1. Hands on and who can use cloud technologies for data analytics and visualization
    2. Data visualization – knowing something like D3 along with traditional tools is a big plus​
Brandon Kievit
President @ sailteam.io
 
or
this job portal is powered by CATS