AI Data Engineer
At a glance
Mid-level Data Engineering role at C the Signs. Remote, United States · no salary stated · we estimate $110,400–$130,443.
C the Signs has not published a salary for this role. The figure below is our estimate, not theirs.
remoteroles summary, based on the employer's posting.
What you'll do
- Create and run pipelines that collect, process, and store varied healthcare data for model teams
- Translate fine-tuning data needs into practical datasets alongside data scientists and machine learning engineers
- Clean and reshape training records, then check them for accuracy and consistency
- Design model-ready schemas and improve pipeline speed and reliability by investigating performance issues
- Help source compliant healthcare data and document the workflows, models, and dictionaries behind it
What you bring
- A bachelor's degree in computer science, engineering, or a related discipline
- A background as a data engineer, with work involving big data technologies
- Strong coding ability in Python, Scala, or Java, plus hands-on Apache Spark experience
- Experience with warehousing, ETL, data modeling, and storage or processing services from a major cloud provider
Who this fits
This mid-level role suits a data engineer comfortable working independently and with data and machine learning teams. You must be a US citizen, hold a Green Card, or have a valid H1B visa while in the US. The role is remote in Boston.
From the employer
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.
Requirements
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
Benefits
Why Join Us?
Joining C the Signs is 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.
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