Data Engineering Manager

Lake Forest, IL, US • Posted 2 hours ago • Updated 2 hours ago
Full Time
On-site
$165000 - $180000/yr
Fitment

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Job Details

Skills

  • Leadership
  • Decision-making
  • IT Management
  • Analytics
  • Financial Software
  • Data Engineering
  • People Management
  • Management
  • Cloud Computing
  • Orchestration
  • Streaming
  • Apache Kafka
  • Relational Databases
  • PostgreSQL
  • Continuous Integration
  • Continuous Delivery
  • Warehouse
  • Databricks
  • Snow Flake Schema
  • Technical Direction
  • Machine Learning (ML)
  • Mentorship
  • Collaboration
  • SAP BASIS
  • Recruiting
  • Access Control

Summary

Enter a hands-on leadership position within a complex, high-volume operations environment that powers global commerce, where data engineering serves as a foundational driver for analytics, automation, and intelligent decision-making.

As a Manager of Data Engineering, you will operate at the intersection of hands-on platform development and technical leadership, shaping a modern, cloud-native data ecosystem that enables analytics, machine learning, and financial systems. This role emphasizes building and operating scalable data platforms, streaming pipelines, and orchestration frameworks while mentoring engineers and driving engineering quality.

You will influence architecture, establish reusable patterns, and deliver production-grade data products that balance flexibility, governance, and reliability. This is an opportunity to stay deeply technical while leading high-impact initiatives across a complex, data-driven organization.
Required Skills & Experience
  • 5+ years leading data engineering initiatives with direct people management experience in complex, cross-functional environments
  • Strong hands-on expertise with cloud-native data platforms, including orchestration tools (e.g., Airflow), streaming technologies (e.g., Kafka), and relational databases (e.g., PostgreSQL)
  • Experience building and operating scalable data platforms using modern practices such as CI/CD, monitoring, security, and lakehouse/warehouse solutions (e.g., Databricks, Snowflake)
Desired Skills & Experience
  • Proven ability to define technical direction and influence architecture across multiple teams or domains
  • Experience designing reusable data/ML platform patterns, observability frameworks, and self-service tooling
  • Track record of mentoring engineers and building high-performing, adoption-focused engineering teams
Daily Responsibilities
  • Hands-On Engineering: 70%
  • Team Collaboration & Cross-Functional Work: 30%

Applicants must be currently authorized to work in United States on a full-time basis now and in the future.

Accommodation will be provided in all parts of the hiring process as required under Motion Recruitment's Employment Accommodation policy. Applicants need to make their needs known in advance.

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Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10105282
  • Position Id: 872744
  • Posted 2 hours ago
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