Principal I, Data Engineering (T)
Core
Design and implement scalable, cloud-native data systems and analytics platforms to enable automated value generation and support AI/ML use cases.
Role type
Principal I, Data Engineering (hands-on IC)
Builds
End-to-end cloud-native data solutions, ETL/ELT pipelines, and data warehouse solutions on AWS.
Domain
Healthcare / Data Engineering
Deliverable
production ML models
Required skills
Python, Scala, Java, AWS Glue, Amazon Redshift, Apache Airflow, Kafka, Spark, PostgreSQL, MySQL, MongoDB, Tableau, Amazon QuickSight
Preferred skills
HIPAA, GDPR, HL7, FHIR, MLOps, Amazon SageMaker
Technologies
AWS (S3, Lambda, Step Functions, EventBridge, IAM, CloudWatch), Amazon Redshift, Apache Airflow, Kafka, Spark, Tableau, Amazon QuickSight
Responsibilities
Design and develop reusable, scalable data and analytics platforms; Lead end-to-end cloud-native data solutions; Develop and maintain ETL/ELT pipelines; Design and optimize data warehouse solutions; Partner with data architects on technical architectures; Design and implement data models; Mentor data engineering teams; Perform data analysis and profiling; Evaluate and deploy emerging technologies.
Seniority
Principal, hands-on IC
