AI Data Engineer Jobs in USA 2026 with Visa Sponsorship

Step into a high-impact technology role where data engineering meets advanced artificial intelligence in healthcare innovation. This AI Data Engineer position at C the Signs focuses on preparing data for large language models and machine learning systems. You will manage the full data lifecycle, ensuring datasets are clean, structured, and optimized for model performance.

Additionally, the role requires building scalable pipelines that support high-volume and diverse healthcare data processing. With flexible remote or hybrid options, this opportunity offers both career growth and meaningful real-world impact.

About the Hiring Firm

C the Signs is a healthcare technology company dedicated to transforming patient outcomes through artificial intelligence and data-driven solutions. The organization focuses on early disease detection and improving healthcare access using advanced analytics and machine learning tools. Furthermore, the company emphasizes innovation, combining clinical expertise with cutting-edge AI to address global health challenges effectively.

Employees work in a mission-driven environment that values collaboration, continuous learning, and technological excellence. Consequently, professionals contribute directly to life-saving innovations while developing expertise in a rapidly evolving field.

Job Duties

Design, build, and maintain scalable data pipelines to efficiently process large healthcare datasets.
Collaborate with data scientists and machine learning engineers to support model training and optimization.
Implement data cleaning, validation, and transformation processes to ensure data accuracy and consistency.
Develop optimized data structures and schemas for efficient machine learning data access and utilization.
Monitor pipeline performance and troubleshoot issues to improve system reliability and scalability.
Ensure compliance with healthcare data regulations, such as HIPAA.
Identify and integrate new data sources to enhance model performance and dataset diversity.
Document data processes, models, and workflows for transparency and future scalability.

Job Requirements

Bachelor’s degree in computer science, engineering, or a closely related technical discipline.
Proven experience as a data engineer, particularly working with large-scale data systems.
Strong programming skills in languages such as Python, Java, or Scala.
Experience with data warehousing, ETL processes, and data modeling techniques.
Hands-on experience with cloud platforms such as AWS, Google Cloud, or Microsoft Azure.
Proficiency in big data tools such as Apache Spark for distributed data processing tasks.
Strong analytical and problem-solving skills with the ability to work independently and collaboratively.
Valid work authorization in the United States or eligibility under existing H-1B visa status.

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Conclusion

This opportunity offers a powerful combination of technical growth and meaningful impact within the healthcare and AI industries. Although sponsorship is limited to certain visa conditions, the role provides a unique platform to contribute to life-saving innovations while advancing your data engineering career.

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