Data Engineer II - Enterprise Data Pipelines & Analytics

Nicklaushealth; Sunset Corners (FL); On-site; USD 90,000 - 130,000; Full time

Job summary

Nicklaushealth is seeking a Data Engineer to design, build, and maintain data pipelines and transformation algorithms for enterprise analytics. You will manage data integration across on‑premise and cloud environments to prepare data for advanced analytics, data mining, and insights generation.

The role requires experience in Python, SQL, ETL/ELT, and working with data warehouses and visualization tools. You will collaborate with IT, research, and medical staff to deliver scalable analytics

Qualifications

• Bachelor’s or Master’s degree in IT-related field with clinical IT/research experience.

Responsibilities

• Designs and develops scalable end-to-end data processing for integrating and analyzing large data volumes.
• Builds and maintains data pipelines and transformation algorithms for analytics.
• Manages data integration, storage monitoring, and data distribution across on-premise and cloud environments.
• Collaborates with IT, research, and medical staff to enable analytics insights.
• Applies ETL/ELT techniques across heterogeneous data sources.
• Writes complex queries against large data sources.
• Monitors ETL/ELT performance and security compliance.
• Deploys analytics programs, ML, and statistical methods for predictive modeling.
• Uses ML patterns for data discovery and automation.

Skills

Python

SQL

ETL/ELT

Data integration

Data warehousing

Education

Bachelor's Degree in IT/Computing/Engineering

Master’s degree in IT/Biomedical Informatics/Engineering

Tools

Azure

AWS

Oracle PL/SQL

SQL Server

SSIS

Informatica

Tableau

Power BI

APIs/RESTful Web Services

Job description

Nicklaushealth is seeking a Data Engineer to design, build, and maintain data pipelines and transformation algorithms for enterprise analytics. You will manage data integration across on‑premise and cloud environments to prepare data for advanced analytics, data mining, and insights generation.

The role requires experience in Python, SQL, ETL/ELT, and working with data warehouses and visualization tools. You will collaborate with IT, research, and medical staff to deliver scalable analytics