Data Engineer

System Soft Technologies; Town of Brookfield (WI); On-site; USD 150,000 - 230,000; Full time

Job summary

System Soft Technologies is seeking an experienced Healthcare Data Architect/Engineer in the United States to design scalable, secure data solutions for healthcare and life sciences. The role focuses on cloud-based data platforms, data warehousing, and data lakes to support analytics and interoperability across systems.

The ideal candidate will have 15+ years in data engineering, hands-on experience with Databricks and AWS, knowledge of FHIR/HL7/ICD-10, and proficiency building APIs, ETL

Qualifications

• 15+ years of experience in data engineering.
• Deep expertise in data warehousing and data lake architecture.
• Hands-on with Databricks and AWS.
• Knowledge of healthcare data standards: FHIR, HL7, ICD-10.
• Experience building APIs, ETL pipelines, and data ingestion processes.
• Infrastructure as Code using Terraform.
• Familiarity with relational and non-relational databases.
• AWS Professional-level Solutions Architect certification preferred.

Skills

Healthcare domain

Data engineering

DW/Data Lake architecture

Databricks

AWS

FHIR/HL7/ICD-10

APIs/ETL pipelines

Terraform IaC

Databases (SQL/NoSQL)

Tools

Databricks

AWS

Terraform

SQL/NoSQL databases

Job description

We are looking for an experienced Healthcare Data Architect/Engineer with strong expertise in healthcare and life sciences data solutions, cloud architecture, and data engineering.

Key Skills & Requirements:

• Healthcare and Life Sciences domain experience
• Must have 15+ years in Data Engineer area
• Data Warehousing (DW) and Data Lake architecture
• Strong hands-on experience with Databricks and AWS
• Healthcare data standards: FHIR, HL7, and ICD-10
• Experience building APIs, ETL pipelines, and data ingestion processes
• Infrastructure as Code (IaC) experience using Terraform
• Hands-on experience with relational and non-relational databases
• AWS Professional-level Solutions Architect certification

We're looking for professionals who can design scalable, secure, and reliable data solutions for healthcare and life sciences environments.