Senior Data Engineer

  • location: Chicago, IL
  • type: Permanent
  • salary: $90,000 - $120,000 per year

job description

Senior Data Engineer

job summary:
ESSENTIAL DUTIES AND RESPONSIBILITIES

  • Work closely with business and technical teams to deliver enterprise grade datasets that are reliable, flexible, scalable, and provide low cost of ownership.
  • Analyzes and estimates feasibility, costs, time, and resources needed to develop, and implement enterprise datasets as needed.
  • Create and advocate the use of standards around data documentation.
  • Advocate for the use of enterprise datasets on advanced analytical applications at ABC. Work with Data Science teams to educate and promote good stewardship of our data lake.
  • Ensure systems meet business requirements and industry practices
  • Research opportunities for data acquisition and new uses for existing data
  • Employ a variety of languages and tools (e.g. scripting languages) to marry systems together
  • Recommend ways to improve data reliability, efficiency and quality
  • Collaborate with Enterprise Architecture to publish and contribute to architecture standards and roadmaps.
  • Achieves and maintains relevant technical competencies and helps to foster an environment of continued growth and learning among colleagues on existing and emerging technologies.
  • Mentor team members and acts as a technical lead for less senior team members.
 
location: Chicago, Illinois
job type: Permanent
salary: $90,000 - 120,000 per year
work hours: 8am to 5pm
education: Bachelors
 
responsibilities:
ESSENTIAL DUTIES AND RESPONSIBILITIES

  • Work closely with business and technical teams to deliver enterprise grade datasets that are reliable, flexible, scalable, and provide low cost of ownership.
  • Analyzes and estimates feasibility, costs, time, and resources needed to develop, and implement enterprise datasets as needed.
  • Create and advocate the use of standards around data documentation.
  • Advocate for the use of enterprise datasets on advanced analytical applications at ABC. Work with Data Science teams to educate and promote good stewardship of our data lake.
  • Ensure systems meet business requirements and industry practices
  • Research opportunities for data acquisition and new uses for existing data
  • Employ a variety of languages and tools (e.g. scripting languages) to marry systems together
  • Recommend ways to improve data reliability, efficiency and quality
  • Collaborate with Enterprise Architecture to publish and contribute to architecture standards and roadmaps.
  • Achieves and maintains relevant technical competencies and helps to foster an environment of continued growth and learning among colleagues on existing and emerging technologies.
  • Mentor team members and acts as a technical lead for less senior team members.
 
qualifications:
  • Experience level: Experienced
  • Minimum 6 years of experience
  • Education: Bachelors
 
skills:
  • Data Warehouse
  • data engineering (5 years of experience is required)
  • Tableau
  • Azure
  • Python

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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