Data Engineering Manager

Description

The Data Engineering Manager is a hands‑on, player‑coach leadership role responsible for guiding and developing a team of approximately six data engineers. This individual will serve as both a people leader and a technical lead, driving execution on large‑scale, foundational data initiatives while ensuring consistency, quality, and best practices across the engineering organization.

This role exists due to continued growth within the data organization and the need for dedicated leadership to support engineers, drive delivery, and take ownership of major initiatives. The manager will frequently act as the technical lead on complex projects, owning execution, coordinating stakeholders, and ensuring projects move forward efficiently.

The Data Engineering Manager will collaborate closely with business partners, project managers, architects, and analytics teams to deliver scalable, reliable data solutions that support analytics, reporting, and data science. Success in this role requires strong communication skills, the ability to influence without authority, and a team‑first leadership mindset.

This position reports to the director, and allows the broader leadership team to focus on strategic initiatives while this role ensures delivery excellence across data engineering efforts

KEY RESPONSIBILITIES

Management: Lead, mentor, and develop a high-performing team of Data Engineers.

Technical Guidance: Provide expert guidance on analytical techniques, ETL/ELT patterns, project planning, and complex problem-solving.

Performance Management: Conduct regular one-on-one meetings and performance reviews to ensure team alignment and growth.

Development: Identify and recommend professional development opportunities to keep the team current with cutting-edge technologies.

Strategic Delivery: Lead the planning, execution, and delivery of data infrastructure projects that align with business objectives.

Stakeholder Partnership: Partner with leadership across departments (e.g., Engineering, Manufacturing, Operations) to translate their needs into technical roadmaps.

Project Oversight: Define project scope, timelines, and key performance indicators (KPIs) while leading development efforts on medium to large projects.

Communication: Present data insights, architectural recommendations, and project status to leadership in a clear and compelling manner.

Pipeline Development: Design, develop, and maintain secure data pipelines to transfer data from various sources to a data mart or lakehouse.

Integration: Develop integrations with specific SaaS applications such as Acumatica, Workday, Salesforce, and ServiceNow.

Data Quality: Implement and monitor data quality checks to identify and rectify inconsistencies, ensuring accuracy and validity.

Database Administration: Administer and optimize databases to ensure maximum availability, performance, and security.

Troubleshooting: Diagnose and resolve data-related issues promptly to minimize system downtime.

Performs other related duties as required and assigned.

Skills

data engineering, big data, management skills, management reporting

Top Skills Details

data engineering

Additional Skills & Qualifications

MINIMUM REQUIREMENTS

Education: Bachelor’s Degree in Computer Science, Data Engineering, Statistics, or a related quantitative field. Master's degree is a plus.

Experience: 5+ years of direct work experience in data engineering, software development, or a related role. Minimum of 2+ years of experience leading and managing a team of technology professionals.

Job Type & Location

This is a Contract to Hire position based out of Menasha, WI.

The pay range for this position is $58.00 - $72.00/hr.

Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following:
• Medical, dental & vision
• Critical Illness, Accident, and Hospital
• 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available
• Life Insurance (Voluntary Life & AD&D for the employee and dependents)
• Short and long-term disability
• Health Spending Account (HSA)
• Transportation benefits
• Employee Assistance Program
• Time Off/Leave (PTO, Vacation or Sick Leave)

This is a hybrid position in Menasha,WI.

This position is anticipated to close on Apr 24, 2026.

We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company.

The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

We’re a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We’re a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We’re strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We’re building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com.

The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.