Sr. Data Platform Engineer
Core
Designing and optimizing cloud-native data solutions, leading migrations from legacy SQL Server to modern PostgreSQL architectures, and building scalable data pipelines for post-acute healthcare facilities.
Role type
Senior Data Platform Engineer
Builds
Cloud-native data pipelines (batch and streaming), AWS infrastructure, and data migration frameworks
Domain
Healthcare + Cloud Data Engineering
Deliverable
production ML models | product features | infrastructure
Required skills
Python, PySpark, SQL (query tuning/ETL), AWS services (S3, Glue, EMR, Lambda, Redshift, DMS), Terraform, PostgreSQL, SQL Server, C#, data modeling, CI/CD
Preferred skills
AWS certification, Tableau/PowerBI, healthcare industry experience
Technologies
AWS (S3, Glue, EMR, Lambda, Redshift, DMS, CloudWatch, IAM, VPC), Terraform, PySpark, PostgreSQL, SQL Server, C#, Tableau, PowerBI
Responsibilities
Design and optimize batch and streaming data pipelines using PySpark and Python; Lead SQL Server to PostgreSQL migration including schema translation and performance tuning; Implement and maintain Terraform infrastructure for AWS services; Conduct performance and cost optimization reviews of AWS workloads; Develop frameworks for data quality, monitoring, and reconciliation; Participate in on-call rotation for production support.
Seniority
Senior, hands-on IC