Data Engineer

  • location: Chicago, IL (remote)
  • type: Contract
  • salary: $70 - $80 per hour

job description

Data Engineer

job summary:
Our digital & analytics consulting client is looking to bring on a Data Engineer to support the team! The Data Engineer will work remotely in a contract capacity, 40 hours a week for 6+ months with potential to extend.

Responsibilities

  • Contribute to the technical strategy, design, development & implementation of enterprise client data solutions
  • Focus on the design, build & unit testing of data pipelines
  • Collaborate across clients and teams to understand processes, gather requirements & define and execute on projects
  • Champion best practices and frameworks for capabilities in data and analytics
Requirements

  • 5+ years of experience as a Data Engineer
  • 2+ years of design, build & unit testing of data pipelines using PySpark
  • Hands-on experience handling unstructured data, semi-structured data, working in a data lake environment, leveraging data streaming & developing data pipelines driven by events/queues
  • Experience developing applications using Python, demonstrated knowledge of Conda, Jupyter & Pandas
  • Strong understanding of data warehousing technologies, ETL processes and data flow architectures and tools
  • AWS Cloud experience is preferred
  • Experience within financial markets or exchanges is preferred
  • Working with RESTful APIs, JSON data structures is a plus
  • Team player, motivated, disciplined - capable of executing on multiple projects and working with cross-functional teams
 
location: Chicago, Illinois
job type: Contract
salary: $70 - 80 per hour
work hours: 8am to 4pm
education: Bachelors
 
responsibilities:
  • Contribute to the technical strategy, design, development & implementation of enterprise client data solutions
  • Focus on the design, build & unit testing of data pipelines
  • Collaborate across clients and teams to understand processes, gather requirements & define and execute on projects
  • Champion best practices and frameworks for capabilities in data and analytics
 
qualifications:
  • Experience level: Experienced
  • Minimum 5 years of experience
  • Education: Bachelors
 
skills:
  • Data Warehouse
  • Data Analysis
  • ETL
  • AWS
  • PySpark
  • Data Pipelines

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

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