Data Engineer II

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

Job Summary

Integrates, builds, and maintains data pipelines and data transformation algorithms for enterprise data analytics consumption. Responsible for data integration, monitoring of data storage, and data distribution across multiple on premise and cloud-based data environments in preparation for sophisticated analytics consumption, data mining, and enterprise data insights.

Job Specific Duties

• Designs and develops highly scalable, end to end process to consume, integrate and analyze large volume, and complex data from dispersed data sources on both on premise and cloud-based data environments and systems.
• Integrates, builds, and maintains data pipelines and data transformation algorithms for enterprise data analytics consumption.
• Responsible for data integration, monitoring of data storage, and data distribution across multiple on premise and cloud-based data environments in preparation for sophisticated analytics consumption, data mining, and enterprise data insights.
• Engages and communicates effectively with a variety of IT, research, and medical staff.
• Integrates and ETL/ELT datasets and flows using a variety of open source and best in class proprietary software.
• Write complex, efficient queries against large, and disparate data sources.
• Monitors ETL/ELT performance and ensures compliance with security.
• Deploy sophisticated analytics programs, machine learning, and statistical methods. Prepare data for predictive and prescriptive modeling. Find hidden patterns using data to help improve business insights.
• Use of machine learning patterns for data discovery and on tasks that can be automated.

Qualifications

Minimum Job Requirements

• Bachelor's Degree in IT, Biomedical Informatics, Computer Science, Engineering or related field with at least 4 years of combined experience in Clinical IT and/or Research (or) Master’s degree in IT, Biomedical Informatics, Computer Science, Engineering with at least 2 years of combined experience in Clinical IT and/or Research
• 1-3 years of data engineering and integration experience
• 1-3 years of data management in cloud-based data environments such as Azure or AWS
• 3-5 years of experience developing database schemas, querying, managing, or curating Oracle PL/SQL or SQL server databases
• 1-3 years of data warehousing ELT/ETL experience
• 1-3 years of experience with the use of Python, SQL, SSIS, or Informatica for data ETL and data transformations
• Experience working with API’s/RESTful Web Services
• Experience with XML, JSON, HL7, or FHIR
• Experience with data visualization tools such as Tableau or Power BI

Knowledge, Skills, and Abilities

• Direct experience or strong familiarity with commercial EHR platform and/or PeopleSoft.
• Experience extracting and managing data from large enterprise clinical and non-clinical systems.
• Familiarity with and experience with efficient database ETL processes - extracting data from a wide range of data sources, normalizing data, creating and providing entity relationship diagrams, schemas and related documentation, creating primary and foreign keys and indexing, writing functional and technical specifications.
• Ability to learn and apply new technical skills.
• Willingness and ability to share knowledge with other team members.
• Ability to adapt to changes in fast paced healthcare and data environment.
• Identify ways to improve data reliability, efficiency, and quality.
• Effective work experience developing, integrating, and supporting data systems; working with a combination of both relational and NoSQL databases.

Job

Information Technology

Department

ENTERPRISE BUS INTELLIGENCE-1000-921906

Job Status

Professional