Entry Level Data Engineering Manager Jobs
New grad data engineering manager jobs are open to recent graduates and entry level candidates with zero to two years of experience, where a strong portfolio or internship work can matter more than a long resume. Most openings mix on-site and remote settings across Technology & Software, Retail, and E-Commerce & Online Marketplaces, with employers like Amazon, Apple, and CVS Health hiring at this level now.
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DESCRIPTION
AWS has the world’s largest cloud computing portfolio. As an Amazonian you will work in some of the most sophisticated, safe, and secure data centers in the world. Our Engineering Operations Technicians (EOT’s) help keep them that way by working with the brightest minds from around the globe to help test and implement the newest technology and work practices to meet the demands of a changing market.
We have a passion for learning and evolving, it’s how we have helped define ourselves as leaders in the industry. Let’s work hard, have fun, and make history!
Key job responsibilities
- Daily building rounds to monitor and record information from electrical, mechanical, and fire/life safety equipment to ensure 24/7 reliability and availability
- Monitor Building Management Systems (BMS) and Electrical Power Management System (EPMS)
- Assist in troubleshooting of facility and rack-level events within internal Service Level Agreements (SLA)
- Perform rack installs and rack decommissioning within internal SLA
- Perform PM, troubleshooting, root cause analysis, and repair of electrical and mechanical equipment
- Technical writing to support change management program
- Monitor daily work requests and manage to resolution, and execute projects from conception to completion
- On-site support of contractors, sub-contractors and vendors, ensuring that all work performed is in accordance with established practices, procedures & local legislation
- Work schedule changes depending on specific site needs. Shifts can be up to 12-hours and may rotate on a predefined schedule. Some locations have on-call rotations.
- Role may support more than one location/site.
A day in the life
This role acts as Amazon’s front line when it comes to hands-on electrical and mechanical equipment preventative maintenance (PM) and troubleshooting, reporting to a site’s Data Center Facility Manager (FM). They will maintain, operate, and troubleshoot mission-critical data center facility equipment including stand-by diesel generators and related fuel systems, 3 phase electrical systems such as switchgear, UPS units, PDUs, and wet cell batteries and associated systems. Mechanical equipment includes CRAHU units, centrifugal chillers, cooling towers, water systems, air handlers and associated systems, pumps, and motors. Additional support equipment is included in the scope of the role which includes fire/life safety equipment, building automation systems, and general facilities equipment.
About the team
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help.
You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.
BASIC QUALIFICATIONS
- Work flexible schedule including weekends, nights, and holidays
- -2+ years of Microsoft Office products and applications experience
PREFERRED QUALIFICATIONS
- 2+ years of data center engineering experience
- Experience reading and writing procedures, technical documents, and engineering drawings
- vocational/technical training or an associate degree or above, or 4+ years of military experience
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, OH, HILLIARD - 37.00 - 65.00 USD hourly
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Find JobsEntry Level Data Engineering Manager Job Market
Who's Hiring
- Amazon39
- Apple5
- CVS Health5
- University of Utah5

- Deloitte4
Top Industries Hiring
- Technology & Software54
- Retail44
- E-Commerce & Online Marketplaces37
- Healthcare & Medical Services27
- Education10
Entry Level Data Engineering Manager Jobs: Frequently Asked Questions
How do I get an entry level data engineering manager job?
At the entry level, employers look for candidates who can demonstrate hands-on data pipeline work, even from academic projects, internships, or self-directed builds. Familiarity with tools like SQL, Python, and cloud platforms such as AWS or GCP gives candidates a clear edge. A well-documented portfolio showing real data workflows matters more than years on a resume at this stage.
Which companies hire entry level data engineering managers?
Companies hiring entry level data engineering managers right now include Amazon, Apple, and CVS Health, based on current listings on Migrate Mate as of July 2026. Hiring at this level comes from a mix of fast-growing tech companies, enterprise employers building out data teams, and startups that prefer candidates who can grow into broader responsibilities quickly.
Are there remote entry level data engineering manager jobs?
Yes, though on-site roles still make up a share of the market. About 16% of entry level data engineering manager openings are remote or hybrid as of July 2026, giving candidates the flexibility to apply outside their local area. Remote postings at this level often come from companies with distributed engineering teams that are comfortable onboarding junior talent virtually.
Are these new grad data engineering manager jobs?
Yes, this page includes new grad, recent graduate, and junior data engineering manager roles alongside other entry level postings. A new grad-friendly posting typically welcomes candidates with zero to two years of experience, accepts internship or project work in place of full-time history, and does not require prior management experience, making them accessible to candidates coming directly from school or a bootcamp.
Which industries hire the most entry level data engineering managers?
Entry Level data engineering manager roles concentrate in Technology & Software, Retail, and E-Commerce & Online Marketplaces, based on current listings on Migrate Mate as of July 2026. These sectors drive hiring at the entry level because they generate high volumes of data and need early-career talent to help build and maintain the pipelines that support analytics, product decisions, and operations.