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Data Engineer

Salary undisclosed

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Hard Requirements:

• Strong SQL and relational database design/development skills

• Ability to perform root cause analysis on external and internal processes and data to identify opportunities for improvement and answer questions

• Ability to build processes that support data transformation, workload management, data structures, dependency, and metadata

• Development experience with cloud-based modern data warehouses such as Google Big Query or equivalent.

• Applicants should have a demonstrated understanding and experience of relational SQL databases including Big Query or equivalent, and function/object-oriented scripting languages including Scala, Java and Python.

• Excellent written and verbal communications skills

• Strong interpersonal skills- ability to communicate with all levels of customers, vendors, and IT resources

Preferred:

• Prior experience with health information systems and/or patient financial service systems a plus

• Understanding of software and tools including big data tools like Kafka, Spark; workflow management tools such as Airflow.

• Ability to build and optimize data sets, ‘big data’ data pipelines.

• Building near real-time data pipelines a plus.

• Cerner, Meditech, CPSI, Allscripts, EPIC, McKesson, NextGen data integration experience a plus