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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Do you want to help build some of the largest and most consequential enterprise and customer technology systems in the world? Join Apple’s Information Systems and Technology (IS&T) organization.
IS&T is the engine behind everything Apple does for customers and for the people who build for them. It’s Apple’s central nervous system. Supporting 2.5 billion active Apple devices, processing billions of secure transactions, and keeping the technology that defines modern life running flawlessly, IS&T makes the impossible feel effortless.”
Do you love building solutions to handle global complexity and immense scale? Imagine what you could do here.
Infrastructure Services is part of IS&T and the foundation of Apple's global network operations - managing data center equipment and systems to deliver compute, storage, and networking services for teams across Apple, including its internal developer community. From individual facilities to a worldwide network, Infrastructure Services ensures the technology underneath everything works without question.
Description
We are looking for passionate engineers who love building super-scalable, reliable, and high-performance systems to support one of the world’s largest cloud infrastructures. In this role, you will design, build, and operate next-generation services that power virtualized networks, computing, and storage. Operating at our global scale presents unique challenges that demand radical engineering innovations.
If you are excited about working close to the packet, optimizing line-rate forwarding pipelines from scratch, and solving complex distributed systems problems, our team is the place for you.","responsibilities":"Dataplane Architecture & Development: Design, implement, and optimize high-throughput, ultra-low-latency packet processing systems, forwarding engines, and overlay network services (e.g., VXLAN, Geneve, NAT, Load Balancing).
System Design & High-Performance Coding: Build modular, resilient, and performant systems leveraging efficient data structures, lock-free concurrency, and hardware/software acceleration.
Control Plane Integration: Collaborate closely with control plane and distributed systems teams to build clean, performant APIs (gRPC, REST) for state distribution and policy enforcement.
Operational Excellence & Incident Triage: Maintain line-of-sight on production health; debug live incidents using packet captures, telemetry, metrics, and logs to identify root cause and implement long-term mitigations.
Automation & Delivery: Utilize modern CI/CD, Git workflows, and configuration management tools to reliably deliver software against bold deadlines.
Preferred Qualifications
8+ years experience with kernel-bypass/accelerated packet processing technologies (e.g., DPDK, XDP, eBPF, VPP, OVS or P4).
BS or MS in Computer Science or equivalent experience.
Familiarity with hardware offload architectures (SmartNICs, ASICs) and network virtualization.
Hands-on experience developing large-scale distributed cloud infrastructure services.
Minimum Qualifications
Strong proficiency in systems programming languages such as C++, Go, or C (experience with Java or modern scripting languages like Python is also valued).
Solid foundation in Computer Science fundamentals: advanced data structures, algorithms, memory management, and concurrency.
Deep knowledge of Networking Fundamentals & Dataplane internals: L2-L4 protocols, TCP/IP stack behavior, packet framing/encapsulation, routing, MTU/MSS, flow tables, and QoS/traffic shaping.
Experience with source control (Git) and modern build/configuration management tools.
Experience designing and optimizing scalable network data plane components, packet forwarding paths, or kernel/userspace networking subsystems.
Understanding of microservice architectures, asynchronous communication, and API design (REST, gRPC, Protobuf).
Proven ability to analyze and debug complex live production incidents under pressure using metrics, traces, and system logs.
Strong communication and cross-functional collaboration skills with the drive to take ownership and lead projects to closure.
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $184,700 and $324,800, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Do you want to help build some of the largest and most consequential enterprise and customer technology systems in the world? Join Apple’s Information Systems and Technology (IS&T) organization.
IS&T is the engine behind everything Apple does for customers and for the people who build for them. It’s Apple’s central nervous system. Supporting 2.5 billion active Apple devices, processing billions of secure transactions, and keeping the technology that defines modern life running flawlessly, IS&T makes the impossible feel effortless.”
Do you love building solutions to handle global complexity and immense scale? Imagine what you could do here.
Infrastructure Services is part of IS&T and the foundation of Apple's global network operations - managing data center equipment and systems to deliver compute, storage, and networking services for teams across Apple, including its internal developer community. From individual facilities to a worldwide network, Infrastructure Services ensures the technology underneath everything works without question.
Description
We are looking for passionate engineers who love building super-scalable, reliable, and high-performance systems to support one of the world’s largest cloud infrastructures. In this role, you will design, build, and operate next-generation services that power virtualized networks, computing, and storage. Operating at our global scale presents unique challenges that demand radical engineering innovations.
If you are excited about working close to the packet, optimizing line-rate forwarding pipelines from scratch, and solving complex distributed systems problems, our team is the place for you.","responsibilities":"Dataplane Architecture & Development: Design, implement, and optimize high-throughput, ultra-low-latency packet processing systems, forwarding engines, and overlay network services (e.g., VXLAN, Geneve, NAT, Load Balancing).
System Design & High-Performance Coding: Build modular, resilient, and performant systems leveraging efficient data structures, lock-free concurrency, and hardware/software acceleration.
Control Plane Integration: Collaborate closely with control plane and distributed systems teams to build clean, performant APIs (gRPC, REST) for state distribution and policy enforcement.
Operational Excellence & Incident Triage: Maintain line-of-sight on production health; debug live incidents using packet captures, telemetry, metrics, and logs to identify root cause and implement long-term mitigations.
Automation & Delivery: Utilize modern CI/CD, Git workflows, and configuration management tools to reliably deliver software against bold deadlines.
Preferred Qualifications
8+ years experience with kernel-bypass/accelerated packet processing technologies (e.g., DPDK, XDP, eBPF, VPP, OVS or P4).
BS or MS in Computer Science or equivalent experience.
Familiarity with hardware offload architectures (SmartNICs, ASICs) and network virtualization.
Hands-on experience developing large-scale distributed cloud infrastructure services.
Minimum Qualifications
Strong proficiency in systems programming languages such as C++, Go, or C (experience with Java or modern scripting languages like Python is also valued).
Solid foundation in Computer Science fundamentals: advanced data structures, algorithms, memory management, and concurrency.
Deep knowledge of Networking Fundamentals & Dataplane internals: L2-L4 protocols, TCP/IP stack behavior, packet framing/encapsulation, routing, MTU/MSS, flow tables, and QoS/traffic shaping.
Experience with source control (Git) and modern build/configuration management tools.
Experience designing and optimizing scalable network data plane components, packet forwarding paths, or kernel/userspace networking subsystems.
Understanding of microservice architectures, asynchronous communication, and API design (REST, gRPC, Protobuf).
Proven ability to analyze and debug complex live production incidents under pressure using metrics, traces, and system logs.
Strong communication and cross-functional collaboration skills with the drive to take ownership and lead projects to closure.
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $184,700 and $324,800, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Data Infrastructure Engineer Jobs by Experience Level
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Who's Hiring
- Amazon36
- ByteDance13
- Meta12
- OpenAI10
- Apple9
Top Industries Hiring
- Technology & Software27
- Electronics & Hardware7
- Consulting & Professional Services7
- Retail5
- E-Commerce & Online Marketplaces5
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, ByteDance, and Meta, with the largest share of openings in California, Texas, and Virginia, based on current listings on Migrate Mate as of September 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 40% of data infrastructure engineer openings are fully remote or hybrid as of September 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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Find roles that match your experience and apply in just a few clicks.
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