Data Engineer
Core
Designing, implementing, and maintaining secure and efficient data connections between different environments and sources to support business data access and understanding.
Role type
Data Engineer II
Builds
Data ingestion pipelines, data processing layers, and self-consumption tools for business analytics.
Domain
Healthcare technology / Data Engineering
Deliverable
production ML models | infrastructure
Required skills
Azure, Kafka, SQL, Python, PostgreSQL, SQL Server, BigQuery, MongoDB, Apache Spark, Airflow, Airbyte, dbt, Glue, Git, CI/CD
Preferred skills
Data modeling (relational, analytical, document-oriented), Data governance, Data Lake/Warehouse/Lakehouse architecture, Distributed processing optimization
Technologies
Azure, Kafka, PostgreSQL, SQL Server, BigQuery, MongoDB, Apache Spark, Airflow, Airbyte, dbt, Glue
Responsibilities
Design and maintain secure data connections across environments; Develop and operate data ingestion processes from transactional systems to analytical layers; Apply data modeling best practices for scalability and performance; Build, orchestrate, and monitor data pipelines across ingestion, processing, and consumption layers; Ensure data pipeline performance, reliability, and SLA compliance.
Seniority
Specialist, hands-on IC
