C THE Signs
AI Data Engineer
Boston, Massachusetts, United States
Work authorization requiredDetected 86 days ago
PythonScalaData StructuresAWSGCPAzureMachine LearningSparkAirflowData EngineeringLLMsComplianceHIPAAHL7/FHIRCommunicationProblem Solving
About the role
- This individual will be responsible for the entire data lifecycle, including gathering, cleaning, structuring, and optimizing large, diverse healthcare datasets.
- Work with the team to identify and acquire new data sources, ensuring compliance with relevant healthcare regulations (e.g., HIPAA).
Responsibilities
- 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.
- Monitor data pipeline performance, troubleshoot issues, and implement optimizations to improve efficiency and reliability.
Requirements
- 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.
- Experience with data orchestration tools (e.g., Apache Airflow).
Nice to have
- Required Bachelor's degree in Computer Science, Engineering, or a related field.
Skills
- Stay up-to-date with the latest advancements in data engineering, big data technologies, and machine learning.
- Strong communication and interpersonal skills.
Benefits
- Competitive salary and benefits package.
- 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.
- You will design, build, and maintain scalable data pipelines that source, preprocess, and deliver high-quality, high-volume datasets to our machine learning engineers.
- Design, build, and maintain scalable data pipelines to ingest, process, and store massive and diverse healthcare datasets.
- Develop and optimize data structures and schemas for efficient access and utilization by LLMs and machine learning models.
- Flexible working arrangements (remote or hybrid options available).
Visa & Work Authorization
- Must be a US Citizen, Green Card holder, or currently in the US have valid H1B visa
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