Job Description :
Job Title: Senior Data Integration Engineer
Location: 13625 Technology Drive Eden Prairie Minnesota 55344
Duration: 06 Months (Contract to Hire)
Commercial cloud (Azure) based data platform that can serve both Care Delivery Organization (CDO) level data warehouse / data mart needs as well as to feed, transform and store clinical and administrative data for the Optum Care Enterprise at a national level.
Integration and distribution of data through a single platform, with that platform being a high-performance, highly scalable, elastic and highly secure commercial cloud will enable labor, infrastructure and non-cap tech savings across all participating CDO’s as well as in the Optum Care national level.
Ideal Background:
Healthcare data background, especially provider data (versus payer data), including clinical data.
Experience with FHIR is highly desirable.
Experience and deep background in various methods of ETL is required.
Programming and full-stack development experience would be a great addition.
Top Requirements:
Healthcare specific data knowledge, FHIR, ETL.
Function Description:
Functions may include database architecture, engineering, design, optimization, security, and administration; as well as data modelling, big data development, Extract, Transform, and Load (ETL) development, storage engineering, data warehousing, data provisioning and other similar roles.
Responsibilities may include Platform-as-a-Service and Cloud solution with a focus on data stores and associated eco systems.
Duties may include management of design services, providing sizing and configuration assistance, ensuring strict data quality, and performing needs assessments.
Analyzes current business practices, processes and procedures as well as identifying future business opportunities for leveraging data storage and retrieval system capabilities.
Manages relationships with software and hardware vendors to understand the potential architectural impact of different vendor strategies and data acquisition.
May design schemas, write SQL or other data markup scripting and helps to support development of Analytics and Applications that build on top of data.
Selects, develops and evaluates personnel to ensure the efficient operation of the function.
Core Tasks:
Maintain, improve, clean, and manipulate data in the business’s operational and analytics databases
Design and deploy data platforms across multiple domains ensuring operability
Transform data for meaningful analyses
Improve data efficiency, reliability and quality
Create data enrichment
Build high performance
Ensure data integrity
Create and manage data stores at scale
Ensure data governance - security, quality, access and compliance