Data Engineer
Core
Build, maintain, and optimize scalable data infrastructure and pipelines to power AI/ML features for healthcare EHR platforms.
Role type
Senior Data Engineer (AI/ML focus)
Builds
Scalable data pipelines, data lakehouse solutions, feature stores, and production data systems for model training and inference.
Domain
Healthcare technology / Data Engineering / Machine Learning
Deliverable
production ML models
Required skills
Python, SQL, Apache Spark, Airflow, Kafka, Databricks, Snowflake, Delta Lake, data modeling, data governance, MLOps, CI/CD
Preferred skills
Feature engineering, data versioning, lineage tracking, automated data quality checks
Technologies
Spark, Airflow, Kafka, Databricks, Snowflake, Delta Lake
Responsibilities
Design and maintain scalable data pipelines for feature extraction and training data generation; Develop data systems supporting analytics and ML workloads; Monitor production pipelines and implement reliability improvements; Contribute to technical decisions on data architecture; Build reusable components for data quality and testing; Optimize SQL queries and Spark workloads; Collaborate on MLOps best practices including data versioning and reproducibility.
Seniority
Senior, hands-on IC