Data Engineer II

Quest Oracle Community; Miami (FL); Sur place; USD 110 000 - 160 000; Plein temps

Résumé du poste

Quest Oracle Community seeks a data engineer to design, build, and maintain data pipelines for enterprise analytics. The role integrates data from diverse sources across on-premise and cloud environments to support advanced analytics, data mining and insights.

You will develop scalable ETL/ELT processes, write complex queries, and ensure data quality and security. Collaboration with IT, research, and clinical staff is essential to success.

Qualifications

• Degree in IT, Biomedical Informatics, CS, Engineering with 2+ years in Clinical IT and/or Research OR a Master’s with 2+ years in Clinical IT and/or Research.
• 1-3 years of data engineering and integration experience.
• 1-3 years of data management in cloud environments such as Azure or AWS.
• 3-5 years of experience developing database schemas, querying, and managing Oracle PL/SQL or SQL Server databases.
• 1-3 years of ELT/ETL data warehousing experience.
• 1-3 years of experience with Python, SQL, SSIS, or Informatica for data ETL/transformation.
• Experience working with APIs/RESTful Web Services.
• Experience with XML, JSON, HL7, or FHIR.
• Experience with Tableau or Power BI.

Responsabilités

• Designs scalable end-to-end processes to consume, integrate and analyze large and complex data sources.
• Integrates and maintains data pipelines and transformation algorithms for analytics.
• Oversees data integration, storage monitoring, and data distribution across on-premise and cloud environments.
• Collaborates with IT, research, and medical staff to deliver data solutions.
• Handles ETL/ELT datasets using open source and proprietary tools.
• Writes complex queries against diverse data sources.
• Monitors ETL/ELT performance and security compliance.
• Deploys analytics programs, machine learning, and modeling for insights.
• Uses ML patterns for data discovery and automation.

Connaissances

Data engineering

Cloud data management

ETL/ELT

Python

SQL

SSIS

Informatica

REST APIs

HL7/FHIR

Tableau

Power BI

EHR/PeopleSoft familiarity

Data extraction

Database design

Learning agility

Team collaboration

Formation

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

Master's degree in IT/Biomedical Informatics/CS/Engineering

Outils

Oracle PL/SQL

SQL Server

Azure

AWS

Tableau

Power BI

Description du poste

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