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Director of Data Engineering

Director of Data Engineering
IL, Chicago

Job Description

Director of Data Engineering

Chicago (primary, Buffalo Grove (Secondary)

*with direct reports


Primary Function:

As Director of Data Engineering, you will play a crucial role in developing complex data structures and data pipelines. You will work on high-profile advanced data projects that drive the company’s decision-making and strategy. As a key member of the IT Leadership team, you will advance our data engineering capabilities and help the team’s data scientists to analyze data better and faster. Most data and analytics work support business verticals with similar business functions as identified below.

  • Customer Service
  • Products and Pricing
  • eCommerce
  • Marketing
  • Finance

Reporting directly to the CIO this role will play a pivotal role in the effective execution of core and future business initiatives.


Desired Skills:

  • Strong problem solving and critical thinking skills
  • Ability to attract, hire and retain top talent by fostering a culture of empowerment and curiosity
  • Experience with development or selection of appropriate models that inform business decisions regarding customer behavior
  • SQL skills required, with a specific focus on large data set manipulation for analytics
  • Ability to communicate effectively to different target audiences
  • Flexible and able to meet changing requirements and priorities
  • Hands on experience looking into data issues leading to resolution or acceptance
  • Ability to operate independently and manage tasks by engaging people across the team
  • Exceptional teamwork skills required to play a key role in cross-functional teams
  • Ability to collaborate and build trusting relationships
  • Natural curiosity to understand the world around you and question as needed
  • Comfortable handling ambiguous concepts and breaking down complex problems into manageable pieces
  • Robust understanding and working with Business Intelligence requirements and reporting in an eCommerce context
  • Demonstrated understanding of B2C and B2B behavior and predictive modeling differences and similarities


Required Education/Experience:

  • Undergraduate Degree in Computer Science, Engineering, Statistics, Mathematics, Data Analytics, or equivalent
  • Masters or PhD in similar discipline a plus
  • In-depth understanding of data warehousing concepts and design
  • Demonstrated experience building data structures to support analytics/research/predictions in an eCommerce setting
  • Proven record of people and leadership management
  • Experience in R or Python and unstructured data
  • Knowledge of specific ‘Big Data’ technologies such as RedShift and BigQuery
  • Strong business judgment and ability to think through and solve complex problems
  • Comfort with ambiguity and ability to get to the right answer at a reasonable level of precision (“80/20” rule)


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