Data Engineer II

Nicklaushealth; Miami (FL); On-site; USD 90,000 - 140,000; Full time

Job summary

Nicklaushealth in Miami seeks a data engineer to design, build, and maintain scalable data pipelines and transformation algorithms for enterprise analytics. You will manage data integration, storage monitoring, and distribution across cloud and on-prem environments to enable advanced analytics, data mining, and insights for clinical and research use.

The role requires experience with SQL, Python, ETL/ELT, and data warehousing, plus familiarity with HL7/FHIR, RESTful APIs, and data visualization

Qualifications

• Requires a Bachelor's degree in IT/ Biomedical Informatics/ CS or Engineering with 2–4 years of Clinical IT/Research experience or a Master’s with 2+ years.
• 1–3 years of data engineering and integration experience.
• 1–3 years of data management in cloud environments (Azure or AWS).
• 3–5 years of experience with database schemas, querying Oracle PL/SQL or SQL Server databases.
• 1–3 years of ETL/ELT experience.
• Experience with Python, SQL, SSIS, or Informatica for ETL/data transformations.
• Experience with APIs/RESTful Web Services.
• Experience with XML, JSON, HL7, or FHIR.
• Experience with data visualization tools like Tableau or Power BI.

Responsibilities

• Designs end-to-end scalable processes to ingest, integrate, and analyze large data volumes from dispersed sources.
• Integrates, builds, and maintains data pipelines and transformation algorithms for analytics.
• Oversees data integration, storage monitoring, and data distribution across on-premise and cloud environments.
• Engages with IT, research, and medical staff to communicate requirements.
• ETL/ELT dataset integration with various tools and datasets.
• Writes complex queries against large, disparate data sources.
• Monitors ETL/ELT performance and enforces security compliance.
• Deploys analytics programs, machine learning and statistical methods for predictive insights.
• Leverages ML patterns for data discovery and automation.

Skills

Data engineering

Cloud data environments

SQL

Python

ETL/ELT

Data warehousing

APIs

Tableau/Power BI

Education

Bachelor's Degree in IT/Biomedical Informatics/CS/Engineering

Master’s Degree in IT/Biomedical Informatics/CS/Engineering

Tools

Oracle PL/SQL

SQL Server

SSIS

Informatica

Tableau

Power BI

Azure

AWS

RESTful APIs

XML/JSON/HL7/FHIR

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