Mid Level Data Infrastructure Engineer Jobs
Mid level data infrastructure engineer jobs go to engineers ready to own pipeline architecture end to end, make infrastructure decisions with limited oversight, and guide junior teammates through complex builds. Openings 17% remote or hybrid concentrate across Technology & Software, Electronics & Hardware, and Biotechnology & Pharmaceuticals, with employers like Figma, Cohere, and Amazon hiring at this level now.
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Who We Are:
Delta Electronics is a global innovator at the forefront of technologies powering the future. Since 1971, we’ve been leading the way in high-efficiency power and thermal management solutions. Today, we’re driving transformation across industries with smart, sustainable systems that enable everything from AI, industrial automation, and data centers to EV charging, renewable energy, and intelligent buildings.
Delta is powering the AI age with cutting-edge infrastructure solutions for hyperscale and edge data centers. Our high-efficiency power systems, thermal management, and intelligent monitoring technologies help the world’s largest data operators achieve peak performance and sustainability. Join us to help build the cornerstone solutions that will run tomorrow’s digital world.
Key Responsibilities:
The Data Center Infrastructure Mechanical Engineer is responsible for designing, modeling, and validating mechanical systems that support modern data-center deployments. This role requires deep proficiency in CAD modeling, strong understanding of new data-center construction, and hands-on experience with skidded and containerized mechanical power products. The engineer will work closely with cross-functional teams to develop scalable, manufacturable, and reliable mechanical solutions that support high-density compute environments.
Mechanical Design & CAD Engineering:
- Develop detailed 2D and 3D CAD models for mechanical systems, assemblies, and infrastructure components used in data-center environments
- Create fabrication drawings, mechanical layouts, piping diagrams, and installation documentation for skidded and containerized systems
- Maintain design libraries, standards, and revision control for mechanical assets
- Perform tolerance analysis, fit-checks, and manufacturability reviews for complex assemblies
Data Center Construction & Infrastructure Engineering:
- Support mechanical design for new data-center builds, including cooling infrastructure, hydronic systems, equipment placement, and mechanical room layouts
- Collaborate with construction teams, contractors, and vendors to ensure designs meet site requirements, building codes, and operational standards
- Evaluate site conditions, climate considerations, and load requirements to ensure mechanical systems perform reliably and efficiently
Skidded & Containerized Product Development:
- Design and integrate mechanical systems for skidded cooling units, modular mechanical skids, and containerized data-center products
- Develop specifications for pumps, heat exchangers, filtration systems, manifolds, and structural components
- Ensure modular systems meet transport, installation, and commissioning requirements
- Work with manufacturing partners to validate assembly processes and quality standards
Cross-Functional Collaboration:
- Partner with electrical, controls, structural, and product engineering teams to ensure cohesive system integration
- Participate in design reviews, prototype evaluations, and field validation activities
- Provide mechanical expertise to support product roadmaps, new feature development, and continuous improvement initiatives
Testing, Validation & Continuous Improvement:
- Conduct mechanical testing, flow analysis, and performance validation for cooling systems and modular products
- Identify opportunities to improve reliability, manufacturability, and efficiency across mechanical designs
- Support root-cause analysis and corrective actions for mechanical issues in production or field deployments
Minimum Qualifications:
- Bachelor’s or Master’s degree in Mechanical Engineering or related field.
- 5+ years of experience in data-center mechanical engineering, industrial mechanical systems, or mission-critical infrastructure
- Advanced proficiency in CAD tools (e.g., SolidWorks, AutoCAD, Revit, Inventor).
- Experience with skidded mechanical systems, modular infrastructure, or containerized data-center products
- Strong understanding of data-center construction practices, mechanical codes, and industry standards
- Knowledge of cooling systems, hydronic distribution, pumps, heat exchangers, and mechanical integration
Pay Range: USD $110,000.00 - USD $150,000.00 /Yr.
Preferred Qualifications:
- Experience with liquid-cooling systems (dry coolers, evaporative coolers, cooling towers, skids)
- Familiarity with CFD or thermal modeling tools.
- Experience working with fabrication shops, OEMs, or modular-construction vendors
- Ability to interpret structural drawings, electrical layouts, and controls schematics
Benefit at Delta Electronics Americas:
EEO Statement:
Delta Electronics Americas is an Equal Opportunity Employer and is committed to compliance with all applicable federal, state, and local laws. Delta Electronics America is committed to fostering a diverse, inclusive, and respectful workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, age, marital status, national origin, disability, veteran status, or any other protected characteristic.
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Top Industries Hiring
- Technology & Software
- Electronics & Hardware
- Biotechnology & Pharmaceuticals
- Retail
- Automotive
Mid Level Data Infrastructure Engineer Jobs: Frequently Asked Questions
How do I get a mid level data infrastructure engineer job?
Position yourself around ownership, not just contribution. Highlight projects where you designed or rebuilt a pipeline, resolved production incidents independently, or reduced data latency at scale. Recruiters at this level want to see that you made technical decisions, not just executed tickets. Tailor your resume to show scope and measurable outcomes, and apply directly to roles listing the infrastructure stack you know best.
Which companies hire mid level data infrastructure engineers?
Companies hiring mid level data infrastructure engineers right now include Figma, Cohere, and Amazon, based on current listings on Migrate Mate as of September 2026. Hiring at this level covers large technology firms scaling their data platforms, financial services companies modernizing pipelines, and growth-stage startups building foundational infrastructure for the first time.
Are there remote mid level data infrastructure engineer jobs?
Yes, remote and hybrid options are common at this level. About 17% of mid level data infrastructure engineer openings are remote or hybrid as of September 2026, reflecting how distributed engineering teams have normalized for infrastructure roles. On-site positions tend to concentrate in sectors with strict data-residency or compliance requirements, such as finance and healthcare.
How do I move up to a mid level data infrastructure engineer role?
The path from entry level to mid level is built on accumulated ownership. Start by volunteering for projects that require you to design a component, not just implement one. Deepen expertise in a core area like distributed systems, orchestration, or storage optimization, and document the measurable impact of your work. Engineers who reach mid level fastest are those who proactively close gaps, take on production responsibility, and seek feedback on architectural decisions.
Which industries hire the most mid level data infrastructure engineers?
Mid Level data infrastructure engineer roles concentrate in Technology & Software, Electronics & Hardware, and Biotechnology & Pharmaceuticals, based on current listings on Migrate Mate as of September 2026. These sectors generate high data volumes, operate under strict reliability requirements, and need engineers who can maintain and evolve infrastructure independently without constant senior oversight.