Health AI Data Engineer for ML Pipelines (Remote)

C the Signs; Boston (MA); Hybrid; USD 120,000 - 160,000; Full time

Benefits offered by this job

Flexible work options

Competitive salary

Healthcare benefits

Professional development

Job summary

C the Signs is seeking a Data Engineer to lead the data lifecycle for our LLMs and ML models, focusing on gathering, cleaning, structuring, and optimizing large healthcare datasets.

You will design, build, and maintain scalable data pipelines to source, preprocess, and deliver high-quality training data, while validating accuracy and ensuring HIPAA-compliant handling. Collaboration with data scientists is essential to meet model requirements.

Qualifications

• Bachelor's degree in CS, Engineering, or related field.
• Experience with big data tech and data pipelines.
• Knowledge of healthcare data standards a plus.

Responsibilities

• Collaborate with data scientists to define data needs for LLM fine-tuning.
• Design and maintain scalable data pipelines for healthcare datasets.
• Ensure data validation, quality, and HIPAA-compliant handling.
• Document data models and data dictionaries.
• Monitor and optimize data pipelines for reliability.

Skills

Python

Scala/Java

Big data technologies

ETL processes

Data warehousing

Data modeling

Apache Spark

Cloud platforms

HIPAA compliance

Communication

Education

Bachelor's degree in CS/Engineering

Master's degree (preferred)

Tools

Apache Airflow

SQL

Hadoop

Job description

C the Signs is seeking a Data Engineer to lead the data lifecycle for our LLMs and ML models, focusing on gathering, cleaning, structuring, and optimizing large healthcare datasets.

You will design, build, and maintain scalable data pipelines to source, preprocess, and deliver high-quality training data, while validating accuracy and ensuring HIPAA-compliant handling. Collaboration with data scientists is essential to meet model requirements.