Full-Time

Senior Manager-Data Engineering

Posted on 2/2/2026

Walden University

Walden University

No salary listed

Downers Grove, IL, USA

In Person

Category
Data & Analytics (2)
,
Required Skills
BigQuery
Data Engineering
Data Analysis
Google Cloud Platform
Requirements
  • Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Software Engineering, or related technical field.
  • Eight (8) plus years in data engineering (data platforms, ingestion, management, or analytics).
  • Three (3) plus years in leadership roles building and managing high-performing teams.
  • 2+ years experience with Google Cloud Platform services such as BigQuery, Composer, GCS, DataStream, and Dataflows.
  • Proven track record of progressive responsibility starting as a Data Engineer, advancing to higher levels of complexity and ownership.
  • Strong analytical skills with the ability to develop and reverse complex engineering solutions.
  • Excellent oral, written, and presentation skills, translating complex technical material for management and stakeholders.
  • Experience defining roadmaps, managing incremental execution, and delivering successful launches.
  • Ability to manage multiple, competing priorities in an Agile, fast-paced environment.
  • Experience mentoring and growing data engineers.
  • Critical thinking, advanced problem-solving, and a proactive approach to improving processes.
Responsibilities
  • Lead the design, implementation, and optimization of data pipelines, datasets, and metrics critical to business decisions.
  • Build, mentor, and inspire a high-performing data engineering team.
  • Define strategies for data acquisition, collection, and utilization across the organization.
  • Establish and manage SLAs for all production datasets and processes.
  • Collaborate closely with Product Managers, Analysts, and Data Scientists to develop and maintain data-driven systems.
  • Develop self-service reporting and democratization layers to empower teams with data.
  • Troubleshoot, code, test, and document solutions to ensure quality and reliability.
  • Evaluate current processes to optimize interdepartmental communication, collaboration, and end-to-end process performance.
  • Define technology roadmaps and manage incremental execution to achieve short- and long-term business goals.
  • Serve as a key leader within the Data and Analytics organization, fostering a data-driven culture.
  • Comply with company policies and standards while performing additional duties as needed.
  • Travel up to 5% as required.

Company Size

N/A

Company Stage

N/A

Total Funding

N/A

Headquarters

N/A

Founded

N/A

INACTIVE