Remote Senior Data Engineer - Healthcare Platform

System Soft Technologies

Town of Brookfield (WI)

Remote

USD 140,000 - 190,000

Full time

25 hours ago
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Job summary

System Soft Technologies is seeking a senior Data Engineer to design, build and manage large-scale healthcare data platforms. You will work remotely in the US, with occasional travel to Brookfield, WI for meetings and team events. You will mentor engineers, drive architecture decisions, and ensure data security and quality.

You will lead data modeling for clinical terminologies and optimize pipelines for cost and performance while collaborating with stakeholders across the organization.

Qualifications

  • 15+ years of relevant data engineering experience.
  • Expert-level Databricks and AWS knowledge.
  • Experience with large structured and unstructured datasets including sensitive patient data.
  • Strong technical leadership, communication, and mentoring skills.

Responsibilities

  • Develop Lakehouse and Data Warehouse solutions using Delta Live Tables and Medallion Architecture.
  • Build cloud-based data solutions using AWS, Terraform, and Databricks Asset Bundles.
  • Process clinical data with standards such as FHIR, HL7, and C-CDA.
  • Design data models using ICD-10, SNOMED, LOINC, RxNorm.
  • Improve pipeline performance, reliability, and cloud cost efficiency.
  • Lead architecture decisions, mentor engineers, and guide projects end-to-end.

Skills

Databricks
AWS
SQL
Python
ETL/ELT pipelines
Data lakehouse
Medallion Architecture
Clinical terminologies
Data security
API development
Performance tuning

Tools

Terraform
GitHub
Databricks Asset Bundles

Job description

System Soft Technologies is seeking a senior Data Engineer to design, build and manage large-scale healthcare data platforms. You will work remotely in the US, with occasional travel to Brookfield, WI for meetings and team events. You will mentor engineers, drive architecture decisions, and ensure data security and quality.

You will lead data modeling for clinical terminologies and optimize pipelines for cost and performance while collaborating with stakeholders across the organization.

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