Data Engineering Manager
About The Position
Members Achieve More isn't just a tagline for us, it's part of everything we do! We're looking for passionate individuals to join our team to help us maintain that focus every day. Want to work somewhere that's remained strong for 90 years, that encourages you to learn, grow, and pursue your dreams? If yes, then read on... The Data Engineering Manager leads the design, development, and operation of scalable data platforms and pipelines that power analytics, reporting, and AI/ML initiatives across the organization. This role blends technical depth with leadership, guiding a team of engineers to build and maintain trusted, automated, and high-performance data systems. The Data Engineering Manager ensures data is reliable, accessible, and delivered efficiently while fostering a culture of continuous improvement, transparency, and collaboration. Success in this role means driving engineering excellence, simplifying complex data environments, and enabling faster insights for business and analytics teams. Schedule: Monday - Friday, 8am-5pm. This position will be a hybrid model both in person and remote with minimum of onsite expectation of 40% or as needed.
Requirements
- Bachelors: Computer Science, Bachelors (Required)
- 3 years of experience managing data engineering, data platform, or analytics infrastructure teams. | Required
- 5+ years of hands-on experience as an individual contributor in data engineering, data architecture, or related technical roles. | Required
Responsibilities
- Lead the design, development, and maintenance of data pipelines, integrations, and models supporting enterprise analytics and operational systems.
- Establish and enforce engineering standards for reliability, efficiency, and documentation across data platform.
- Partner with data architects, analytics, and governance teams to align on data models, definitions, and best practices
- Manage and mentor data engineers, promoting technical growth, accountability, and teamwork
- Oversee day-to-day platform operations ensuring data accuracy, timeliness, and system performance.
- Translate business priorities into scalable and reusable data solutions.
- Drive automation and modernization of data processes to reduce manual effort and improve consistency.
- Support architectural planning and implementation of new technologies and cloud capabilities.
- Champion the culture of reliability, transparency, and collaboration within the data engineering function.
- Perform other duties as assigned
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What This Job Offers
Job Type
Full-time
Career Level
Manager
Number of Employees
501-1,000 employees
