Senior Data Engineer

The Sr. Data Engineer in our innovative team will focus on revolutionizing healthcare through AI and generative AI technologies. This role will be instrumental in designing and implementing robust data pipelines to support the development of a Healthcare analytics data platform for a variety of healthcare applications and AI models. This is a critical role in transforming healthcare data into actionable insights, ensuring compliance with industry standards while leveraging cutting-edge technologies.

Data Engineering & Pipeline Development:

• Design, implement, and optimize ETL/ELT pipelines to support data ingestion and transformation from diverse healthcare data sources.
• Develop and maintain scalable data pipelines for real-time and batch processing to meet meet traditional BI applications and AI/ML needs.
• Work with structured, semi-structured, and unstructured data to create usable datasets for AI model training and deployment.

Database Management

• :Manage and optimize a variety of databases, including Postges, NoSQL, graph databases, and cloud-based databases like Snowflake and Redshift
• .Ensure efficient storage, retrieval, and integration of data across different systems

.
AI Integratio

• n:Collaborate with data scientists and AI engineers to create datasets for a variety of use case
• s.Implement data annotation, curation, and augmentation techniques to enhance data readiness for AI/ML application

s.
Healthcare Data Experti

• se:Apply knowledge of healthcare data standards such as HL7 and FHIR, ensuring adherence to HIPAA compliance and other regulatory requiremen
• ts.Address challenges related to unstructured data extraction and large-scale data ingestion in EMR/EHR syste

ms.
Collaboration & Innovat

• ion:Work closely with cross-functional teams, including healthcare specialists, business analysts and data architects to understand and address data ne
• eds.Ensure data quality, integrity, and security, especially when dealing with sensitive healthcare d

ata.
Continuous Improve

• ment:Stay updated with emerging technologies and frameworks in data engineering, AI, and health
• care.Contribute to the continuous improvement of processes and tools within the data engineering

team.
Perform other duties that support the overall objective of the pos

ition.
Education Re

• quired:Bachelor's degree (or higher) in Computer Science, Data Science, Artificial Intelligence, or a related
• field.Or, any combination of education and experience which would provide the required qualifications for the po

sition.
Experience R

• equired:10+ years of proven experience in designing and building enterprise-grade ETL/ELT pipelines following modern architectural paradigms such as Data Lake, Lakehouse, and data mesh for high-volume ana
• lytics..Experience working with cloud platforms like AWS, Azure, or Googl
• e Cloud.Hands-on experience implementing star schema data models and orchestrating data pipelines to support scalable AI/ML model training and dep
• loyment.Hands on experience with ETL/ELT development using tools such as dbt, Fivetran, Spark, Snowpark including orchestration via Airflow or
• similar.Experience handling diverse data types and ensuring scalability in a complex envi

ronment.Knowledge, Skills & A

• bilities:Knowledge of: Familiarity with big data frameworks such as Apache Spark, Kafka, and Hadoop. Understanding of data processing for voice, image, and text-based AI solutions. Familiarity with healthcare data standards and interoperability protocols. Knowledge of EMR/EHR systems and healthcare data management challenges along with healthcare data standards and coding systems (FHIR, HL7, ICD-10, CP
• T, etc.).Skill in: Strong programming skills in Python, and/or Scala, Java, and SQL. Excellent problem-solving and debugging skills. Strong commu
• nication.Ability to: Collaboration abilities to work with diverse stak