Remote AI Data Engineer Jobs
Remote AI Data Engineer jobs are in active demand across the U.S., with remote-first firms and distributed teams hiring across technology, financial services, and healthcare. Employers hiring remotely right now include Revstar, CVS Health, and CareerFlow. See the openings below and apply to the ones that match your experience.
Find Remote AI Data Engineer JobsOverview
Showing 5 of 174+ Remote AI Data Engineer jobs
Job Title: Data Engineering Specialist – AI
Location: 100% Remote Role
Position Type: Full-time (Only W2 candidates)
Salary Range: $100,000–$150,000 Annually
Experience Required: 6+ years
Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position.
Job Summary
We are seeking an Data Engineering Specialist – AI to build and operate the large-scale data systems that power modern AI training and evaluation pipelines. The role combines deep data engineering expertise with a strong understanding of AI workloads, focusing on ingestion, transformation, quality assurance, lineage, and high-throughput delivery of data to training jobs across diverse modalities. The ideal candidate has experience operating petabyte-scale data systems, strong software engineering fundamentals, and clear understanding of how data infrastructure choices propagate into model quality and training efficiency.
Required Qualifications
- 6+ years of data engineering experience, with significant work supporting ML or AI workloads.
- Strong proficiency in Python and at least one JVM or systems language.
- Deep experience with modern data processing frameworks such as Spark, Ray, or Beam.
- Hands-on experience operating petabyte-scale storage and pipeline systems.
- Experience with multimodal datasets at large scale.
- Familiarity with data quality tooling and dataset evaluation methodology.
- Exposure to privacy-preserving data systems and regulated data handling.
- Open-source contributions to data infrastructure projects.
- Experience supporting frontier model training pipelines.
How to Apply
Would you like to know more about this opportunity?
For immediate consideration, please send your resume to jaya@bvteck.com or contact us at (908) 505-3545. Learn more about Bright Vision Technologies at www.bvteck.com.
Bright Vision Technologies is an Equal Opportunity Employer.
Equal Employment Opportunity (EEO) Statement
Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.
BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.
VhV2MFRl7N
Job Title: Data Engineering Specialist – AI
Location: 100% Remote Role
Position Type: Full-time (Only W2 candidates)
Salary Range: $100,000–$150,000 Annually
Experience Required: 6+ years
Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position.
Job Summary
We are seeking an Data Engineering Specialist – AI to build and operate the large-scale data systems that power modern AI training and evaluation pipelines. The role combines deep data engineering expertise with a strong understanding of AI workloads, focusing on ingestion, transformation, quality assurance, lineage, and high-throughput delivery of data to training jobs across diverse modalities. The ideal candidate has experience operating petabyte-scale data systems, strong software engineering fundamentals, and clear understanding of how data infrastructure choices propagate into model quality and training efficiency.
Required Qualifications
- 6+ years of data engineering experience, with significant work supporting ML or AI workloads.
- Strong proficiency in Python and at least one JVM or systems language.
- Deep experience with modern data processing frameworks such as Spark, Ray, or Beam.
- Hands-on experience operating petabyte-scale storage and pipeline systems.
- Experience with multimodal datasets at large scale.
- Familiarity with data quality tooling and dataset evaluation methodology.
- Exposure to privacy-preserving data systems and regulated data handling.
- Open-source contributions to data infrastructure projects.
- Experience supporting frontier model training pipelines.
How to Apply
Would you like to know more about this opportunity?
For immediate consideration, please send your resume to jaya@bvteck.com or contact us at (908) 505-3545. Learn more about Bright Vision Technologies at www.bvteck.com.
Bright Vision Technologies is an Equal Opportunity Employer.
Equal Employment Opportunity (EEO) Statement
Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.
BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.
VhV2MFRl7N
See All 174+ Remote AI Data Engineer Jobs
Find roles that match your experience and apply in just a few clicks.
Find Remote AI Data Engineer JobsRemote AI Data Engineer Job Market
Who's Hiring
Top Industries Hiring
- Consulting & Professional Services
- Technology & Software
- Insurance
- Education
- Automotive
What Employers Look For
The qualifications that appear most often in remote AI data engineer jobs.
- Proficiency in Python and SQL for data pipeline development and transformation
- Experience building and maintaining ML feature pipelines or data platforms at scale
- Hands-on work with orchestration tools such as Apache Airflow, Prefect, or Dagster
- Familiarity with cloud data platforms including AWS, GCP, or Azure data services
- Knowledge of streaming frameworks such as Apache Kafka or Apache Flink
- Bachelor's degree in computer science, data engineering, or a related technical field
Tips for Your Remote AI Data Engineer Job Search
Show async collaboration in your portfolio
Remote employers want evidence you can work without constant check-ins. Document your projects with written READMEs, architecture decision records, and inline comments, because that's the kind of self-explaining output distributed teams depend on from a remote ai data engineer.
Apply early to remote roles that fit
Migrate Mate lists remote ai data engineer openings from across the U.S. in one place, so you can find roles that match your stack and apply directly without sorting through irrelevant on-site listings.
Highlight your remote AI toolchain explicitly
Call out the specific tools you use for distributed AI workflows, such as MLflow for experiment tracking, Airflow for orchestration, or dbt for transformation, because remote hiring managers scan for these to judge whether you'll ramp up without in-person training.
Prepare for async-style remote interviews
Many remote teams use take-home assessments or recorded video answers before any live call. Practice explaining your pipeline design decisions in writing and on camera, since remote ai data engineer interviews often weigh your communication clarity as much as your technical output.
Remote AI Data Engineer Jobs: Frequently Asked Questions
How do I get a remote ai data engineer job?
Target companies built on distributed teams, such as remote-first software firms and cloud-native startups, because they already have the infrastructure for async collaboration. Remote employers screen hard for self-direction, clear written communication, and hands-on proficiency with tools like dbt, Spark, Airflow, and vector databases. A public GitHub repo or portfolio project that shows an end-to-end AI pipeline gives you a concrete edge over candidates who only list skills.
Which companies hire remote ai data engineers?
Employers currently hiring remote ai data engineers include Revstar, CVS Health, and CareerFlow, per current remote listings on Migrate Mate as of September 2026. Remote-first technology firms, fintech scale-ups, and distributed healthcare data teams make up the bulk of hiring for this role.
Can you get a remote ai data engineer job with no experience?
Yes, but remote entry-level roles are harder to land because you're expected to work independently from day one without in-office support. Remote-first startups and smaller distributed teams are more open to junior candidates than large enterprises. Build a demonstrable project, such as a deployed ML pipeline or a public data transformation repo, to show you can execute without hand-holding, and that's often what opens the door.
Do you need a degree for remote ai data engineer jobs?
Not always. Remote employers place significant weight on demonstrated skills, real project output, and familiarity with the modern AI and data stack over formal credentials. A strong portfolio, proficiency in Python, SQL, and ML frameworks, and evidence of shipping production-grade pipelines can carry more weight than a degree, particularly at remote-first companies that evaluate candidates on async work samples.
Which industries hire the most remote ai data engineers?
Remote ai data engineer roles concentrate in Consulting & Professional Services, Technology & Software, and Insurance, based on current remote listings on Migrate Mate as of September 2026. Those sectors rely on distributed data teams to build and maintain AI pipelines that don't require anyone to be physically on-site.
See All 174+ Remote AI Data Engineer Jobs
Find roles that match your experience and apply in just a few clicks.
Find Remote AI Data Engineer Jobs