AI Data Engineer

C the Signs Limited; Rhode Island; Hybrid; USD 120,000 - 170,000; Full time

Benefits offered by this job

Remote or Hybrid options available

Competitive salary and benefits

Life-changing AI technology impact

Professional development

Mission to save lives and improve care

Job summary

C the Signs Limited is seeking a Data Engineer to develop and optimize data pipelines for large language models and ML workflows in healthcare. You will own the data lifecycle from ingestion to quality assurance, working with data scientists to meet data requirements and compliance standards.

The role requires strong cloud, big data, and Spark expertise, with a focus on enabling scalable access to high-volume healthcare datasets in a collaborative team environment.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related field.
• Proven experience as a Data Engineer with big data tech.
• Strong Python, Scala, or Java programming skills.
• Extensive experience with data warehousing, ETL, and modeling.
• Experience with AWS, GCP, or Azure and their data storage and processing services.
• Hands-on experience with Apache Spark for distributed processing.
• Excellent problem-solving and independent work ability.
• Strong communication and collaboration skills.
• Experience with healthcare data standards (FHIR/HL7).
• Familiarity with data orchestration tools (Airflow).

Responsibilities

• Collaborate with data scientists and ML engineers to understand data requirements for LLM and model fine-tuning.
• Design, build, and maintain scalable data pipelines to ingest, process, and store healthcare datasets.
• Implement data validation and monitoring to ensure data integrity.
• Implement data cleaning, validation, and transformation to ensure data quality.
• Develop and optimize data structures and schemas for efficient access by LLMs.
• Identify and acquire new data sources while ensuring HIPAA compliance.
• Monitor pipeline performance, troubleshoot issues, and optimize for reliability.
• Document data engineering processes, models, and dictionaries.
• Stay up-to-date with data engineering and ML advancements.

Skills

Python

Scala

Java

Big data technologies

Spark

Airflow

AWS

GCP

Azure

Data warehousing

ETL

Data modeling

FHIR/HL7

Healthcare data

Communication

Problem solving

Education

Bachelor’s degree in Computer Science, Engineering, or related field

Master’s degree in a related field

Tools

Apache Airflow

Job description

Position Summary

The Data Engineer will play a crucial role in developing and fine-tuning data specifically for our LLMs and machine learning models. This individual will be responsible for the entire data lifecycle, including gathering, cleaning, structuring, and optimizing large, diverse healthcare datasets. The ideal candidate will have a strong background in data engineering principles, experience with big data technologies, and a keen understanding of the unique challenges and requirements of healthcare data.

You will design, build, and maintain scalable data pipelines that source, preprocess, and deliver high-quality, high-volume datasets to our machine learning engineers. This role requires a deep understanding of data engineering best practices coupled with specific knowledge of the data requirements for LLM training and refinement

Key Responsibilities

• Collaborate with data scientists and machine learning engineers to understand data requirements for LLM and machine learning model fine-tuning.

• Design, build, and maintain scalable data pipelines to ingest, process, and store massive and diverse healthcare datasets.

• Implement robust data validation and monitoring to ensure the integrity, accuracy, and consistency of all training datasets.

• Implement robust data cleaning, validation, and transformation processes to ensure data quality and integrity.

• Develop and optimize data structures and schemas for efficient access and utilization by LLMs and machine learning models.

• Work with the team to identify and acquire new data sources, ensuring compliance with relevant healthcare regulations (e.g., HIPAA).

• Monitor data pipeline performance, troubleshoot issues, and implement optimizations to improve efficiency and reliability.

• Document data engineering processes, data models, and data dictionaries.

• Stay up-to-date with the latest advancements in data engineering, big data technologies, and machine learning.
  Required

• Bachelor’s degree in Computer Science, Engineering, or a related field.

• Proven experience as a Data Engineer, with a focus on big data technologies.

• Strong proficiency in programming languages such as Python, Scala, or Java.

• Extensive experience with data warehousing, ETL processes, and data modeling.

• Experience with major cloud providers (e.g., AWS, GCP, Azure) and their data storage and processing services.

• Hands-on experience with big data frameworks like Apache Spark for distributed processing.

• Excellent problem-solving skills and the ability to work independently and as part of a team.

• Strong communication and interpersonal skills.
  Preferred

• Master’s degree in a related field.

• Experience with healthcare data and a good understanding of healthcare data standards (e.g., FHIR, HL7).

• Familiarity with machine learning concepts and LLM fine-tuning processes.

• Experience with data orchestration tools (e.g., Apache Airflow).
  Work Authorization:

  • Must be a US Citizen, Green Card holder, or currently in the US have valid H1B visa

Why Join Us?

JoiningC the Signsis not just about building AI; it’s about shaping the future of healthcare. If you are a technical leader with an unshakable belief in the power of AI to save lives and the ability to make it happen at scale, this is your opportunity to create a tangible, global impact.

Benefits:

• Competitive salary and benefits package.
• Flexible working arrangements (remote or hybrid options available).
• The opportunity to work on life-changing AI technology that directly impacts patient outcomes.
• Join a team that combines cutting-edge innovation with a mission to save lives and improve health equity.
• Continuous learning opportunities with access to the latest tools and advancements in AI and healthcare.