Department: Duke Health Technology Solutions (DHTS) 

This position is fully remote, allowing you to collaborate with our team from the following approved states:

• Arizona
• California
• Colorado
• Connecticut
• Florida
• Georgia
• Hawaii
• Illinois
• Maryland
• Massachusetts
• Montana
• New Jersey
• New York
• North Carolina
• Pennsylvania
• South Carolina
• Tennessee
• Texas
• Virginia
• Washington (State)
• Washington, DC

General Summary: Duke Health Technology Solutions (DHTS) is a robust, specialized divi sion of Duke University Health System dedicated to the development and m anagement of enterprise IT systems. A 2018 ‘Most Wired’ health sys tem, Duke is nationally recognized for IT and information management as the first healthcare system to achieve the Davies Award – highest honor by the Healthcare Information and Management Systems Society (HIMSS) – f or inpatient, ambulatory, andanalytics health information technol ogy capabilities. Duke was also the first to achieve Stage 7 HIMSS for H ospital EMR, Ambulatory EMR, and Analytics adoption. Our employees are a mong the top-skilled IT experts in the Triangle. We partner with l eading scholars, clinicians, and researchers across Duke University and Duke Health to develop innovative technologies that support our mission of delivering tomorrow's healthcare today.

Primary Role: This position reports to the DHTS-Data Partnerships Director of Data and Analytics Platforms. This individual will be primarily responsible for the quality of the data ingested into the data lake (Duke Data Hub) and the data deidentification processes in the Federated Clinical Analytics Platform (FCAP), including providing quality assurance oversight of the data pipelines and REST APIs developed by the Data Partnerships Data Engineering team and Duke’s FCAP partner. The candidate should be an expert in data profiling, root cause analysis, and strategies to ensure the quality of data being delivered through big data and analytics platforms. The QA analyst will be a member of a Data Engineering Scrum team that is delivering solutions focused on using state of the art data and analytics tools including traditional and near real-time data warehousing, big-data, relational and document-based databases using both extract, load, transform (ELT) toolsets as well as REST APIs and FHIR. The ideal candidate will be comfortable with data science platforms with proven experience leveraging DevOps and Test Automation tools. This position will report to the hiring manager

Essential Tasks/Responsibilities

• Measure data quality - Design, collect, analyze, and report on data quality assurance / production performance metrics
• Manage data quality documentation; define and maintain data standards, definitions, and models
• Identify incorrect data, documenting issues, patterns and gaps in the data and/or systems
• Provide accurate and appropriate interpretation of data, applying knowledge for evaluation, analysis, and interpretation of data
• Ensure data integrity by implementing quality assurance practices
• Perform root cause analysis on data issues and recommend data quality controls to resolve gaps/issues
• Provide quality assurance oversight of data flows and APIs
• Contribute to agile story refinement and estimation.
• Contribute as a member of the Data Engineering Scrum Team by developing and executing test cases during sprints to verify that the APIs and data pipelines developed meet defined acceptance criteria
• Collaborate with the Scrum Team and DevOps to automate test cases to be incorporated in the CI/CD pipelines
• Participate in the creation and maintenance of standards for coding, documentation, error handling, error notification, logging, etc.

Required Experience:

We are looking for a candidate with 5 years of experience in a QA Analyst role who has experience using and testing the following software/tools:

• Relational SQL and NoSQL databases, including Oracle, SQL Server, Postgres, and CosmosDB in Azure
• Data pipeline, workflow management, ELT tools such as Azure Data Factory and Synapse Pipelines
• Object-oriented/object function scripting languages such as Python or Java
• RESTful APIs and Web Applications
• Cloud-based analytic platforms such as Azure Synapse.

Required Skills:

• Experience implementing and measuring Data Quality and Controls
• Testing data transformation, data structures, metadata, dependency and workload management
• Test automation and DevOps integration
• Extensive experience in Healthcare IT
• Intermediate working SQL knowledge and experience working with a variety of RDBMSs
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
• Strong organizational skills
• Experience working with cross-functional teams in a dynamic environment

Desired Skills:

• Experience with the FHIR standard for health care data exchange
• Experience in data analysis using Python or R
• Understanding of Agile and Scrum methodologies
• Working experience with the FHIR specification

The information above describes the general nature and level of work assigned to this position. It is not intended to be an exhaustive list of all duties and responsibilities required of position incumbents.

Minimum Qualifications

Education

Bachelor's degree in a related field, or four years of equivalent technical experience required. LICENSURE/CERTIFICATION: Credential requirements will vary, depending on work area.

Experience

Level 1 - No experience required beyond the minimum education (or equivalency) requirement. Level 2 - Two years of related experience is required.Level 3 - Four years of related experience is required.

Duke is an Affirmative Action/Equal Opportunity Employer committed to providing employment opportunity without regard to an individual's age, color, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex, sexual orientation, or veteran status.

Duke aspires to create a community built on collaboration, innovation, creativity, and belonging. Our collective success depends on the robust exchange of ideas—an exchange that is best when the rich diversity of our perspectives, backgrounds, and experiences flourishes. To achieve this exchange, it is essential that all members of the community feel secure and welcome, that the contributions of all individuals are respected, and that all voices are heard. All members of our community have a responsibility to uphold these values.

Essential Physical Job Functions: Certain jobs at Duke University and Duke University Health System may include essentialjob functions that require specific physical and/or mental abilities. Additional information and provision for requests for reasonable accommodation will be provided by each hiring department.