IT Data Engineer Specialist
About The Position
The IT Data Engineer Specialist expands and optimizes the data analytics platform, strengthens data integrations, and advances data governance and management practices. The role supports clinical and administrative reporting, data visualization, and the efficient flow and collection of data across cross-functional teams. It works with large, complex datasets from multiple sources and designs, improves, and optimizes data systems. The specialist partners with analytics developers, database architects, data analysts, and data scientists to ensure reliable, scalable, and consistent data delivery across projects and initiatives. This is a hybrid role with occasional onsite requirements and a day shift schedule of 8:00 a.m. to 4:30 p.m.
Requirements
- At least 6 years of experience in data engineering, business intelligence, or data warehousing; healthcare experience is preferred.
- High proficiency in SQL.
- Experience with big data tools such as Hadoop, Spark, Kafka, BigSQL, and Hive.
- Experience with relational SQL and NoSQL databases, including Oracle, MS SQL Server, and HBase.
- Experience with data integration tools such as Informatica, MS Integration Services, and Sqoop.
- Experience with cloud vendors and services, including Microsoft, AWS, or Google.
- Experience with open-source stream-processing tools such as Flume, Storm, and Spark Streaming.
- Experience consuming and building APIs.
- Experience with object-oriented or object-function programming languages such as Python, Java, C++, or Scala.
- Experience with statistical data analysis tools such as R, SAS, or SPSS.
- Experience with visual analytics tools such as Tableau, QlikView, or Power BI.
- Experience working with Agile methodology for development.
- Familiarity with electronic health record and financial systems such as Epic Systems, Cerner, PeopleSoft, Workday, Infor, EPSi, or Strata.
- Bachelor's degree in technology, a clinical field, or a related field.
- Must maintain applicable certifications; if certification is required for the role, must be willing to travel for training and achieve certification within 90 days of completing testing.
Nice To Haves
- Healthcare data engineering, business intelligence, or data warehousing experience.
- Master's degree in a related discipline.
- Current Epic certification(s) or other appropriate role-specific certification.
Responsibilities
- Expand and optimize the data analytics platform.
- Strengthen data integrations and advance data governance and management practices.
- Support clinical and administrative reporting and data visualization.
- Improve the efficient flow and collection of data across cross-functional teams.
- Design, improve, and optimize data systems handling large, complex datasets from multiple sources.
- Partner with analytics developers, database architects, data analysts, and data scientists to deliver reliable, scalable, and consistent data across projects and initiatives.
Benefits
- Tuition reimbursement of up to $6,000 per year, based on full-time or part-time status.
- Up to 240 hours of paid time off per year, based on full-time or part-time status.
- Employee discounts on activities, services, and vendors.
- Free employee parking.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
