Data Engineer - Healthcare Data Pipelines & Analytics

Syndeo,-LL

Carolina (PR)

On-site

USD 65,000 - 70,000

Full time

14 days+

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Job summary

Syndeo's Data Science practice seeks a Data Engineer to design and operate ETL/ELT pipelines that ingests data from LAB, RCM, CRM, and the iConnect engine. The role builds unified analytics-ready datasets for the Data Science layer, working with Analysts, Scientists, Product Owner, and Scrum Master to keep the ecosystem fast, trustworthy, and scalable.

You will design data warehouse and lake models, enforce governance, and ensure data quality across pipelines while supporting HL7, FHIR, X12, and

Qualifications

  • Bachelor's degree in CS/Data Engineering or related field required.
  • 3+ years of data engineering experience, healthcare data preferred.
  • Experience with PHI handling and data governance highly valued.

Responsibilities

  • Design, build, and maintain ETL/ELT pipelines from core services and iConnect.
  • Develop data warehouse and data lake models for analytics.
  • Enforce data quality, lineage, and governance across pipelines.
  • Collaborate with analysts/scientists to provide clean datasets for modeling.
  • Optimize pipelines for scalability and performance as data grows.
  • Implement monitoring and alerting for pipeline reliability.
  • Partner with software teams to align schemas with SOA.
  • Maintain data catalogs and documentation for datasets.

Skills

Python/Java
SQL
ETL/ELT
Data warehousing
PHI governance
Git/version control
Agile/Scrum/Kanban
bilingual English/Spanish

Education

Bachelor's Degree in CS/Data Engineering

Tools

Docker
Snowflake
ClickHouse
Trino

Job description

Syndeo's Data Science practice seeks a Data Engineer to design and operate ETL/ELT pipelines that ingests data from LAB, RCM, CRM, and the iConnect engine. The role builds unified analytics-ready datasets for the Data Science layer, working with Analysts, Scientists, Product Owner, and Scrum Master to keep the ecosystem fast, trustworthy, and scalable.

You will design data warehouse and lake models, enforce governance, and ensure data quality across pipelines while supporting HL7, FHIR, X12, and

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