What You’ll Do 

as a Data Engineer: Senior is support our Lake (AWS S3) , Warehouse (Postgresql), Unified Data Analytics Platform (UDAP), and Message Bus (Kafka w/ Debezium).

While ingesting data you'll do data format conversions, tagging, parsing, monitoring, and alerting.

The end goal is deliver value (making patients, nurses, and providers' healthcare world class) from DATA to ALL stakeholders of the organization, but most especially Data Analysts & Data Scientists.

This role will work closes with DevOps, Security, and Data Architects

What We’re Looking For

• 5yr+ Software Engineering with a focus on Data
• 2yr+ Shell AND Python
  • https://projects.apache.org/projects.html?language#Python (22)
• 2yr+ AWS
• 6months+ Kafka

Nice to Have

• SQL ANSI 2015+
• AWS:
  • Athena, EMR, Redshift, Kinesis, Kafka, QuickSight, Glue, Lake Formation, Data Pipeline, S3, IAM, EKS, ECS
• Big Data:
  • https://projects.apache.org/projects.html?category#big-data (50)
  • Presto
•  Storage/API:
  • gRPC, protobuf
• Arrow, Parquet, CSV
• Kubernetes/Docker
• Airflow