This job posting is no longer active.
DescriptionSHIFT: No Weekends
HealthTrust is the industry's leading group purchasing organization (GPO), providing sustainable savings for supplies and expert sourcing for medical device and purchased services.
With an annual purchasing volume by our members of over $18 billion, membership includes over 1,400 not-for-profit and for-profit acute care facilities and 10,600 surgery centers, alternative sites and physician practices.
Founded in 1999, HealthTrust is organized as a limited partnership. A wholly-owned, indirect subsidiary of HCA Holdings, Inc. is the general partner and operates the partnership, controlling the majority of voting interest of the GPO. All other GPO equity holders are all healthcare providers or are owned by healthcare providers. HealthTrust is the only GPO with a truly committed model—with member-driven decision making, compliant purchasing, and a national portfolio of unparalleled value.
The Data Integration Engineer will assist with application development and support to meet business needs. You will demonstrate the ability to understand and assist with the capture and communication of system requirements to Customer Engagement and Architecture teams. You should be able to understand and learn complex ideas, demonstrate a forward-looking perspective, and assist with tactical decision-making processes. This role should practice attentive listening and display empathy towards others. You should perform all duties with a focus on quality of work and attention to detail with a high level of self-management and self-awareness. This position reports to the Manager of Data Integration.
JOB DUTIES & RESPONSIBILITIES:
Assists with the design, development, and maintenance of data integration applications to implement customer requirements
Assists in the development of specifications for the bidirectional movement of data between source system and data stores to support Business Intelligence solutions
Contributes to development of Extraction, Transformation, and Load (ETL) processes
Knowledge of the use of fault-tolerant, high-performance, and parallel algorithms for data processing
Knowledge distributed computing and associated philosophies
Supports production loads and participates in root cause analysis for failures
Understands and participates in testing applications and ensuring quality products
Participates in code reviews and product documentation
Encourages and drives cross team collaborations
Bachelor's Degree preferred
A minimum of 1 year of work experience in the following areas:
Knowledge of version control (Git preferred)
Knowledge of parallel and distributed computing
Knowledge of common design patterns
Preferred knowledge of Extraction, Transformation, and Load (ETL)
Preferred knowledge Microsoft SQL Server and/or Teradata preferred
Strong written and verbal communication
Demonstrated capability to work in collaborative environment
Dedication to continued exploration of technology