Remote Data Infrastructure Engineer Jobs
Remote Data Infrastructure Engineer jobs are open across the U.S. at remote-first companies and distributed engineering teams in sectors like technology, financial services, and healthcare. Employers actively hiring right now include Jabil, Aledade, and Angi. See the openings below and apply to the ones that match your experience.
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Showing 5 of 24+ Remote Data Infrastructure Engineer jobs
Head of Data Center and Capacity Partnerships, AI Infrastructure
DriveNets, AI Business Unit. Remote US-based preferred; frequent travel.
#LI-Remote
About the Company
DriveNets is a leader in high-scale networking software for AI infrastructure and service providers. The company pioneered a disaggregated networking architecture that transforms the economics of large-scale networks while maximizing performance, utilization, and operational efficiency. DriveNets-powered networks are deployed by global leaders, including AT&T and Comcast, supporting more than 30% of total U.S. internet traffic. DriveNets AI Fabric delivers full-stack networking for AI infrastructures, providing the highest-performance, Ethernet-based alternative to InfiniBand. The solution is deployed by hyperscalers, NeoClouds, and enterprises worldwide. With over $1B raised, DriveNets continues to push the boundaries of modern networking infrastructure.
The Role
DriveNets builds the networking fabric and services behind large AI clusters for neoclouds, AI companies and enterprises. As our AI business scales, the relationships that matter most sit with the people who control compute and data center capacity: data center operators and developers, colocation and power providers, and the clouds building on top of them.
We are hiring a senior partner to own those relationships. This is a relationships-first role: your network in the AI data center world is your most valuable asset. You will know where capacity exists and is being built, who controls it, when it is ready and what it costs, and you will use that knowledge to help our customers and partners get clusters built faster.
This is not a procurement or supply chain role. You need to be able to pick up the phone and get a straight answer on megawatts, timing and price, structure the partnership that follows, and stay close to the deal through deployment.
Responsibilities
- Build and maintain partnerships with data center operators and developers, colocation and power providers, and neoclouds across the geographies our customers need.
- Keep a current, accurate picture of available and upcoming capacity: power, space, ready dates and commercial terms.
- Work with our sales team and executives to connect capacity with customers that need it, and respond quickly to urgent “can you find me capacity” requests.
- Structure and negotiate partnership agreements with capacity providers, within guidelines set with leadership.
- Bring data center partners into customer engagements alongside our silicon and server partners, and keep the relationship through deployment and expansion.
- Provide market intelligence to leadership on where AI capacity is being built, by whom, and on what economics.
Who you are
- Established, direct relationships with data center operators and developers, colocation and power providers, and neoclouds, with a proven record of sourcing capacity (MW or GPUs) through them.
- Deep, current knowledge of the AI data center landscape: where capacity exists, who controls it, what it costs, and how to reach capacity before it is widely available.
- Commercial judgment to structure and negotiate partnership agreements.
- Technical understanding to talk credibly with engineers about power, cooling, site readiness, GPU types and cluster requirements.
- Deal-making instinct: you understand what each party in an infrastructure deal needs in order to say yes.
- Organized and fast: you can track dozens of providers with accurate availability and pricing, and respond to urgent requests in hours.
- A clear communicator across providers, customers, executives and internal teams.
- Stability and long-term thinking: this is a relationship business.
Preferred
- Experience at a neocloud, GPU aggregator or marketplace, data center developer or colocation provider where capacity availability was the constraint.
- Existing relationships with the major neoclouds and with the cloud partner ecosystems of the leading AI silicon vendors.
- Knowledge of bare-metal data center operations, power procurement and capacity planning.
- Understanding of GPU types, specifications and AI/ML workload requirements.
- High-growth startup background.
Requirements:
- Established, direct relationships with data center operators and developers, colocation and power providers, and neoclouds, with a proven record of sourcing capacity (MW or GPUs) through them.
- Deep, current knowledge of the AI data center landscape: where capacity exists, who controls it, what it costs, and how to reach capacity before it is widely available.
- Commercial judgment to structure and negotiate partnership agreements.
- Technical understanding to talk credibly with engineers about power, cooling, site readiness, GPU types and cluster requirements.
- Deal-making instinct: you understand what each party in an infrastructure deal needs in order to say yes.
- Organized and fast: you can track dozens of providers with accurate availability and pricing, and respond to urgent requests in hours.
- A clear communicator across providers, customers, executives and internal teams.
- Stability and long-term thinking: this is a relationship business.
Preferred/Advantage
- Experience at a neocloud, GPU aggregator or marketplace, data center developer or colocation provider where capacity availability was the constraint.
- Existing relationships with the major neoclouds and with the cloud partner ecosystems of the leading AI silicon vendors.
- Knowledge of bare-metal data center operations, power procurement and capacity planning.
- Understanding of GPU types, specifications and AI/ML workload requirements.
- High-growth startup background.
More About DriveNets
Based in Israel with locations in Romania, US, India and Japan as well as extended teams, DriveNets operations cover more than twelve countries. With recognition by industry analysts and through partnerships with market leaders such as AMD, Broadcom, Dell and others, DriveNets is pushing market momentum, delivering the scale and efficiency that modern AI workloads demand. Visit our website: https://drivenets.com/company/
Head of Data Center and Capacity Partnerships, AI Infrastructure
DriveNets, AI Business Unit. Remote US-based preferred; frequent travel.
#LI-Remote
About the Company
DriveNets is a leader in high-scale networking software for AI infrastructure and service providers. The company pioneered a disaggregated networking architecture that transforms the economics of large-scale networks while maximizing performance, utilization, and operational efficiency. DriveNets-powered networks are deployed by global leaders, including AT&T and Comcast, supporting more than 30% of total U.S. internet traffic. DriveNets AI Fabric delivers full-stack networking for AI infrastructures, providing the highest-performance, Ethernet-based alternative to InfiniBand. The solution is deployed by hyperscalers, NeoClouds, and enterprises worldwide. With over $1B raised, DriveNets continues to push the boundaries of modern networking infrastructure.
The Role
DriveNets builds the networking fabric and services behind large AI clusters for neoclouds, AI companies and enterprises. As our AI business scales, the relationships that matter most sit with the people who control compute and data center capacity: data center operators and developers, colocation and power providers, and the clouds building on top of them.
We are hiring a senior partner to own those relationships. This is a relationships-first role: your network in the AI data center world is your most valuable asset. You will know where capacity exists and is being built, who controls it, when it is ready and what it costs, and you will use that knowledge to help our customers and partners get clusters built faster.
This is not a procurement or supply chain role. You need to be able to pick up the phone and get a straight answer on megawatts, timing and price, structure the partnership that follows, and stay close to the deal through deployment.
Responsibilities
- Build and maintain partnerships with data center operators and developers, colocation and power providers, and neoclouds across the geographies our customers need.
- Keep a current, accurate picture of available and upcoming capacity: power, space, ready dates and commercial terms.
- Work with our sales team and executives to connect capacity with customers that need it, and respond quickly to urgent “can you find me capacity” requests.
- Structure and negotiate partnership agreements with capacity providers, within guidelines set with leadership.
- Bring data center partners into customer engagements alongside our silicon and server partners, and keep the relationship through deployment and expansion.
- Provide market intelligence to leadership on where AI capacity is being built, by whom, and on what economics.
Who you are
- Established, direct relationships with data center operators and developers, colocation and power providers, and neoclouds, with a proven record of sourcing capacity (MW or GPUs) through them.
- Deep, current knowledge of the AI data center landscape: where capacity exists, who controls it, what it costs, and how to reach capacity before it is widely available.
- Commercial judgment to structure and negotiate partnership agreements.
- Technical understanding to talk credibly with engineers about power, cooling, site readiness, GPU types and cluster requirements.
- Deal-making instinct: you understand what each party in an infrastructure deal needs in order to say yes.
- Organized and fast: you can track dozens of providers with accurate availability and pricing, and respond to urgent requests in hours.
- A clear communicator across providers, customers, executives and internal teams.
- Stability and long-term thinking: this is a relationship business.
Preferred
- Experience at a neocloud, GPU aggregator or marketplace, data center developer or colocation provider where capacity availability was the constraint.
- Existing relationships with the major neoclouds and with the cloud partner ecosystems of the leading AI silicon vendors.
- Knowledge of bare-metal data center operations, power procurement and capacity planning.
- Understanding of GPU types, specifications and AI/ML workload requirements.
- High-growth startup background.
Requirements:
- Established, direct relationships with data center operators and developers, colocation and power providers, and neoclouds, with a proven record of sourcing capacity (MW or GPUs) through them.
- Deep, current knowledge of the AI data center landscape: where capacity exists, who controls it, what it costs, and how to reach capacity before it is widely available.
- Commercial judgment to structure and negotiate partnership agreements.
- Technical understanding to talk credibly with engineers about power, cooling, site readiness, GPU types and cluster requirements.
- Deal-making instinct: you understand what each party in an infrastructure deal needs in order to say yes.
- Organized and fast: you can track dozens of providers with accurate availability and pricing, and respond to urgent requests in hours.
- A clear communicator across providers, customers, executives and internal teams.
- Stability and long-term thinking: this is a relationship business.
Preferred/Advantage
- Experience at a neocloud, GPU aggregator or marketplace, data center developer or colocation provider where capacity availability was the constraint.
- Existing relationships with the major neoclouds and with the cloud partner ecosystems of the leading AI silicon vendors.
- Knowledge of bare-metal data center operations, power procurement and capacity planning.
- Understanding of GPU types, specifications and AI/ML workload requirements.
- High-growth startup background.
More About DriveNets
Based in Israel with locations in Romania, US, India and Japan as well as extended teams, DriveNets operations cover more than twelve countries. With recognition by industry analysts and through partnerships with market leaders such as AMD, Broadcom, Dell and others, DriveNets is pushing market momentum, delivering the scale and efficiency that modern AI workloads demand. Visit our website: https://drivenets.com/company/
See All 24 Remote Data Infrastructure Engineer Jobs
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Find JobsRemote Data Infrastructure Engineer Job Market
Who's Hiring
Top Industries Hiring
- Consulting & Professional Services
- Manufacturing
- Electronics & Hardware
What Employers Look For
The qualifications that appear most often in remote 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 Remote Data Infrastructure Engineer Job Search
Apply early to remote roles that fit
Migrate Mate lists remote data infrastructure engineer openings from across the U.S. in one place. Check it regularly and apply as soon as a role matches your stack and experience level, since strong remote postings fill quickly.
Show async communication in your portfolio
Remote data infrastructure teams run on written handoffs, architecture decision records, and incident post-mortems. Include examples of your written documentation alongside pipeline diagrams so hiring managers can see you communicate clearly without a meeting.
Prove cloud platform depth upfront
Remote employers screening data infrastructure engineers move fast and filter on specific cloud skills early. Lead your resume and cover message with the platforms you know deeply, such as AWS Glue, Google BigQuery, or Azure Data Factory, rather than burying them in a skills section.
Prepare for async-first remote interviews
Many remote-first companies use take-home system design exercises or async video responses before a live interview. Practice explaining your data pipeline architecture decisions in writing and on a recorded screen share so you're ready for either format.
Remote Data Infrastructure Engineer Jobs: Frequently Asked Questions
How do I get a remote data infrastructure engineer job?
Target remote-first companies and distributed engineering teams that rely on async collaboration, since those employers are most likely to hire data infrastructure engineers without a local office requirement. Remote employers screen heavily for self-direction, clear written communication, and hands-on experience with tools like dbt, Airflow, Spark, and cloud data platforms. A public portfolio showing pipeline work, architecture decisions, and incident write-ups gives you a concrete edge over candidates with only a resume.
Which companies hire remote data infrastructure engineers?
Employers currently hiring remote data infrastructure engineers include Jabil, Aledade, and Angi, per current remote listings on Migrate Mate as of November 2026. Remote-first technology firms, distributed SaaS companies, and data-heavy organizations in fintech and healthcare are among the most consistent sources of these openings.
Can you get a remote data infrastructure engineer job with no experience?
Yes, but remote entry-level roles are harder to land because employers expect you to troubleshoot and unblock yourself without a colleague nearby. Early-career candidates do best targeting remote-first startups or small distributed teams that need generalist data engineering help. Showing a self-directed project, an open-source contribution, or a documented home-lab pipeline build demonstrates you can work independently, which is what remote hiring managers are actually evaluating.
Do you need a degree for remote data infrastructure engineer jobs?
Not always. Many remote employers care more about demonstrated skills than formal credentials, particularly for data infrastructure roles where the work is highly verifiable. A strong GitHub portfolio, certifications in cloud platforms like AWS or GCP, and evidence of building or maintaining real pipelines can outweigh a missing degree in practice, especially at remote-first companies that evaluate candidates on output rather than background.
Which industries hire the most remote data infrastructure engineers?
The sectors hiring the most remote data infrastructure engineers are Consulting & Professional Services, Manufacturing, and Electronics & Hardware, based on current remote listings on Migrate Mate as of November 2026. These industries rely on distributed data teams where infrastructure engineers can design, maintain, and scale pipelines entirely outside a central office.
See All 24 Remote Data Infrastructure Engineer Jobs
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