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 Speechify, CVS Health, and Humana. See the openings below and apply to the ones that match your experience.
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The mission of Speechify is to make sure that reading is never a barrier to learning.
Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.
Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.
Overview
We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.
- Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
- Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
- Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
- Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team's dataset roadmap to power Speechify's next-generation consumer and enterprise products.
An Ideal Candidate Should Have
- BS/MS/PhD in Computer Science or a related field.
- 5+ years of industry experience in software development.
- Proficiency with bash/Python scripting in Linux environments
- Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
- Experience with web crawlers, large-scale data processing workflows is a plus
- Ability to handle multiple tasks and adapt to changing priorities.
- Strong communication skills, both written and verbal.
What we offer
- A fast-growing environment where you can help shape the company and product.
- An entrepreneurial-minded team that supports risk, intuition, and hustle.
- A hands-off management approach so you can focus and do your best work.
- An opportunity to make a big impact in a transformative industry.
- Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
- Opportunity to work on a life-changing product that millions of people use.
- Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
- Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.
Compensation: The United States base salary range for this full-time position is $140,000-$200,000 + bonus + equity depending on experience
Think you're a good fit for this job?
Tell us more about yourself and why you're interested in the role when you apply.
And don't forget to include links to your portfolio and LinkedIn.
Not looking but know someone who would make a great fit?
Refer them!
Speechify is committed to a diverse and inclusive workplace.
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
The mission of Speechify is to make sure that reading is never a barrier to learning.
Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.
Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.
Overview
We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.
- Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
- Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
- Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
- Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team's dataset roadmap to power Speechify's next-generation consumer and enterprise products.
An Ideal Candidate Should Have
- BS/MS/PhD in Computer Science or a related field.
- 5+ years of industry experience in software development.
- Proficiency with bash/Python scripting in Linux environments
- Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
- Experience with web crawlers, large-scale data processing workflows is a plus
- Ability to handle multiple tasks and adapt to changing priorities.
- Strong communication skills, both written and verbal.
What we offer
- A fast-growing environment where you can help shape the company and product.
- An entrepreneurial-minded team that supports risk, intuition, and hustle.
- A hands-off management approach so you can focus and do your best work.
- An opportunity to make a big impact in a transformative industry.
- Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
- Opportunity to work on a life-changing product that millions of people use.
- Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
- Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.
Compensation: The United States base salary range for this full-time position is $140,000-$200,000 + bonus + equity depending on experience
Think you're a good fit for this job?
Tell us more about yourself and why you're interested in the role when you apply.
And don't forget to include links to your portfolio and LinkedIn.
Not looking but know someone who would make a great fit?
Refer them!
Speechify is committed to a diverse and inclusive workplace.
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
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Find JobsRemote Data Infrastructure Engineer Job Market
Who's Hiring
- Speechify75
- CVS Health59
- Humana15
- IT Labs15I
- Akumin13
Top Industries Hiring
- Technology & Software167
- Healthcare & Medical Services99
- Consulting & Professional Services42
- Insurance35
- Medical Devices8
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.
Target remote-first job listings specifically
Filter explicitly for remote-first or fully remote postings rather than hybrid roles that list remote as an option. Companies built around distributed teams have the tooling, processes, and culture that make remote data infrastructure work sustainable long-term.
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 Speechify, CVS Health, and Humana, per current remote listings on Migrate Mate as of June 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 Technology & Software, Healthcare & Medical Services, and Consulting & Professional Services, based on current remote listings on Migrate Mate as of June 2026. These industries rely on distributed data teams where infrastructure engineers can design, maintain, and scale pipelines entirely outside a central office.
See All 460+ Remote Data Infrastructure Engineer Jobs
Find roles that match your experience and apply in just a few clicks.
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