Data Infrastructure Engineer Jobs
Data infrastructure engineer jobs are open across fintech, healthtech, cloud services, and enterprise software, from new-grad to staff and principal engineer, with specializations in data pipeline architecture, distributed systems, and platform reliability. Find a role that fits from the openings below and apply directly.
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About the Role
We are seeking an experienced IT Project Delivery Expert to manage end-to-end data center IT infrastructure projects, including network buildouts, module deployment, equipment installation and decommissioning, structured cabling, and low-voltage infrastructure.
The ideal candidate combines practical knowledge of data center infrastructure with the ability to independently manage project planning, execution, quality, risks, vendors, and operational handover.
This is an infrastructure construction and deployment role—not a routine IT operations or cabling-only position.
Key Responsibilities:
- Independently manage data center IT infrastructure projects from planning through installation, testing, acceptance, and handover.
- Develop construction, cabling, and equipment installation plans based on Statements of Work (SOWs), network architecture, and technical specifications.
- Prepare and review Bills of Materials (BOMs), equipment lists, and material requirements.
- Establish project schedules, milestones, resource plans, and delivery priorities.
- Manage project risks, dependencies, scope changes, quality, and outstanding issues.
- Coordinate fiber and copper cabling, rack and patch-panel installation, equipment deployment, and decommissioning.
- Oversee contractors and integration vendors to ensure compliance with approved specifications, site safety requirements, and acceptance criteria.
- Coordinate with data center operations, network engineering, procurement, supply chain, and other stakeholders.
- Manage multiple concurrent projects and communicate progress, risks, and escalation needs.
- Maintain project documentation, testing records, as-built information, and handover materials.
- Support improvements to SOPs, technical standards, and delivery processes.
Required Qualifications:
- At least five years of experience in structured cabling, low-voltage infrastructure, network deployment, or IT infrastructure project delivery.
- On-site data center project experience, with familiarity with infrastructure construction, deployment, and handover processes.
- Knowledge of fiber and copper cabling, racks, patch panels, equipment installation, and commonly used infrastructure materials.
- Ability to interpret SOWs, network architecture, and technical specifications and translate them into practical deployment plans and BOMs.
- Proven experience independently managing projects, including schedules, risks, quality, vendors, and stakeholders.
- Strong cross-functional coordination skills and the ability to manage multiple projects simultaneously.
- Professional working proficiency in Mandarin Chinese preferred .
Preferred Qualifications:
- PMP or another relevant project management certification.
- Experience with hyperscale cloud providers, large technology companies, or data center operators.
- Experience in data center buildouts, network deployment, or modular infrastructure deployment.
- Experience developing SOPs, technical specifications, and acceptance standards.
Relevant Backgrounds:
We welcome candidates with experience as an Infrastructure Project Manager, Data Center Project Manager, Network Deployment Project Manager, Technical Project Manager, Implementation Project Manager, or Structured Cabling Project Manager.
Pay: From $38.00 per hour
Language:
- Mandarin (Preferred)
Ability to Commute:
- Atlanta, GA (Required)
Work Location: In person
Data Infrastructure Engineer Jobs by Experience Level
Top Cities Hiring Data Infrastructure Engineers
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Find JobsData Infrastructure Engineer Job Market
Who's Hiring
- Amazon36
- Meta18
- ByteDance13
- EY8
- Jabil7
Top Industries Hiring
- Technology & Software16
- Consulting & Professional Services7
- Electronics & Hardware5
- Science & Research2
- Biotechnology & Pharmaceuticals2
What Employers Look For
The qualifications that appear most often in data infrastructure engineer jobs.
- Proficiency in SQL and at least one of Python, Scala, or Java for pipeline development
- Hands-on experience with distributed processing frameworks such as Apache Spark or Apache Flink
- Experience designing and operating data pipeline orchestration tools like Apache Airflow or Prefect
- Familiarity with cloud data warehouses and storage systems on AWS, GCP, or Azure
- Understanding of streaming architectures and event-driven systems, including Apache Kafka or similar
- Bachelor's degree in computer science, engineering, or a related technical field, or equivalent experience
Tips for Your Data Infrastructure Engineer Job Search
Tailor your resume to the stack
Generic data engineering resumes get filtered out fast. List the specific orchestration tools, query engines, and cloud providers from each job posting, Airflow versus Prefect, Spark versus Flink, AWS versus GCP, so your resume matches the exact language hiring teams use.
Apply early to roles that fit
Migrate Mate lists data infrastructure engineer openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Quantify pipeline scale on your resume
Hiring managers for data infrastructure roles want to know the scale you have worked at. Replace vague descriptions with concrete scope: daily data volume processed, pipeline latency improvements you shipped, or the number of downstream consumers your platform supported.
Target postings by infrastructure ownership level
Some roles own the full data platform, others only maintain pipelines built by contractors. Read job descriptions for phrases like 'greenfield build,' 'platform team,' or 'data mesh' to identify whether you will be designing architecture or operating an existing one.
Prepare a system design answer for data freshness
Nearly every data infrastructure interview includes a scenario question about keeping downstream data fresh under latency constraints. Practice designing a solution that handles late-arriving events, backfills, and SLA trade-offs before your first technical screen.
Negotiate scope alongside compensation
In data infrastructure offers, the team charter matters as much as the package. Before accepting, ask whether the role owns production incident response, what the on-call rotation looks like, and whether the team has a roadmap for reducing operational toil.
Data Infrastructure Engineer Jobs: Frequently Asked Questions
Which companies are hiring the most data infrastructure engineers?
The companies hiring the most data infrastructure engineers right now include Amazon, Meta, and ByteDance, with the largest share of openings in California, Texas, and Virginia, based on current listings on Migrate Mate as of November 2026. Demand is especially concentrated in companies scaling cloud-native data platforms or modernizing legacy warehouse infrastructure.
How many data infrastructure engineer jobs are remote?
About 51% of data infrastructure engineer openings are fully remote or hybrid as of November 2026, reflecting the discipline's heavy reliance on cloud tooling that requires no on-site hardware access. Roles focused on platform engineering and pipeline development tend to be the most remote-friendly, while positions tied to real-time operational systems or on-premise data centers more often require in-office presence.
How do you become a data infrastructure engineer?
Start by building strong SQL skills and learning a scripting language like Python, then move into distributed systems by working through a project that processes and stores data at scale. Study orchestration tools like Apache Airflow and gain hands-on cloud experience by deploying a pipeline on a major cloud provider. Contributing to open-source data tooling projects and building a portfolio of end-to-end pipeline work accelerates hiring significantly.
Can you get a data infrastructure engineer job with little experience?
Yes, entry-level data infrastructure engineer roles exist, particularly at startups and mid-size companies building out their data platforms for the first time. Strong candidates without deep professional experience substitute with a demonstrated project portfolio: a working pipeline that ingests, transforms, and serves data, hosted publicly and documented clearly. Familiarity with at least one cloud provider and a core orchestration tool is the practical floor most teams expect.
What does the data infrastructure engineer interview process look like?
Most processes include an initial recruiter screen followed by a technical phone interview focused on SQL and Python fundamentals. A take-home or live coding round typically tests data modeling or pipeline logic. The final round usually includes a system design session where you architect a scalable ingestion or transformation layer, plus a cross-functional panel covering reliability practices, incident response, and how you have collaborated with data consumers like analysts or machine learning teams.
Where can I find and apply to data infrastructure engineer jobs?
You can find and apply to data infrastructure engineer jobs on Migrate Mate, which lists current openings from across the United States. Search the available roles, find the ones that match your stack and experience level, and apply directly to each listing without leaving the platform.
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