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New

Data Engineer

Experis

This is a Full-time position in Seattle, WA posted June 10, 2021.

Data Engineer

6-11 month contract

Remote – anywhere in US, West coast preferred

*Not open to C2C or visa sponsorship

OVERVIEW:

Our high-profile client is seeking an experienced data Engineer with expert level SQL skills for a REMOTE 6-11 month contract assignment. This team is seeking strong background with data engineering skills to assist in designing and building the backend data architecture to support its line of reporting products. This includes transitioning from old primary data sources to new ones, onboarding new sources of data, improving existing architecture, and implementing all code reviews and security best practices. This effort will involve with the DE team, as well as partner DE teams within and without of the InfraOps team.

REQUIREMENTS:

  • Must have SQL experience within prior jobs – 5+ years of experience writing SQL scripts
  • Python and ETL (extract, transform, load) (or ELT)coding/language/process experience is highly preferred
  • Prior experience must be titled “Data Engineer” to be considered for this role (5+ years)
  • Data Warehouse experience in an engineering type role
  • 5+ years of experience with Data modeling, SQL, ETL , Data Warehousing and Datalakes
  • Bachelor’s Degree in Computer Science, Information Systems, Mathematics, Statistics, or related field
  • 5+ years of experience with Data modeling, SQL, ETL , Data Warehousing and Datalakes
  • Expert knowledge in an enterprise class RDBMS
  • 2+ years of experience with enterprise-class Business Intelligence tools such as PowerBI, Tableau, Oracle BI, Penthao, etc.

PREFERRED SKILLS

  • Ability to balance and prioritize multiple conflicting requirements with high attention to detail.
  • Excellent verbal/written communication & data presentation skills, including ability to succinctly summarize key findings and effectively communicate with both business and technical teams.
  • Comfortable working in a Linux environment
  • Experience with scripting language such as Python, Perl, Ruby or Javascript
  • Experience with MPP databases such as Redshift
  • Knowledge of AWS products and services
  • Exposure to predictive/advanced analytics and tools (such as R, SAS, MATLAB)
  • Experience with Data Lake development
  • Exposure to noSQL databases (such as DynamoDB, MongoDB)