Candidates hired for remote positions must reside in Oregon, Washington, Utah, Idaho, Arizona, Nevada, Texas, Montana, or Wisconsin.

The IS Automation Engineer is responsible for designing and implementing automated frameworks that ensure data accuracy, consistency and integrity across various sources and platforms, as well as training and supporting users in adoption of Continuous Integration and Continuous Deployment (CI/CD) pipelines and other automation needs. This position seamlessly integrates validation checks into data pipelines, swiftly detects, and analyzes anomalies, and reports findings to stakeholders. In collaboration with data scientists, analysts and engineers, this position refines validation processes, evaluates, and implements cutting-edge tools, and maintains thorough documentation. Ensuring compliance with industry regulations, this position remains updated on the latest in data validation trends, guaranteeing that processes are both state-of-the-art and compliant with necessary standards.

• Design, develop and maintain automation frameworks for validating data as it moves through various stages of the pipeline, ensuring data quality and consistency.
• Implement validation checks to ensure data accuracy, completeness, and timeliness as it progresses from ingestion to consumption.
• Utilize advanced automation tools and methodologies to enhance the validation processes, aiming to minimize manual verification and ensuring data reliability.
• Collaborate with data engineers to understand data pipelines and design validation checks that complement and ensure the integrity of these pipelines.
• Work with Information Systems teams, business data analysts, and other data consumers to understand their data consumption needs, and design validation tests that ensure their requirements are met accurately.
• Provide expert-level troubleshooting of automation tools and CI/CD pipeline issues, offering rapid solutions for mission-critical systems.
• Work with cross-functional teams to establish a CI/CD pipeline for various projects.
• Provide support and training to the end users that include creating training materials, conducting user training sessions, and addressing user queries and concerns.
• Educate and train team members on best practices for data validation, ensuring that validation techniques are consistently applied across the organization.
• Proactively identify potential data discrepancies or inconsistencies and work to automate the resolution of such discrepancies.
• Recommend and implement advanced validation techniques to handle complex data structures and emerging data requirements.
• Promote the importance of data validation within the organization, ensuring that it's recognized as a critical component of the data lifecycle.
• Collaborate with other teams to understand their business goals and design validation checks that ensure the data supports these goals, driving the organization's mission forward.

• Perform work in alignment with the organization's mission, vision and values.
• Support the organization's commitment to equity, diversity and inclusion by fostering a culture of open mindedness, cultural awareness, compassion and respect for all individuals.
• Strive to meet annual business goals in support of the organization's strategic goals.
• Adhere to the organization's policies, procedures and other relevant compliance needs.
• Perform other duties as needed.

Experience and/or Education

Required

• Minimum 5 years' experience in data validation, quality assurance, or related fields which include:
  • Application of automated testing and validation frameworks tailored for data
  • Use of validation tools, both generic, such as SQL for data validation, and specialized, such as dedicated data validation platforms
  • Integration of validation processes into CI/CD pipelines or equivalent data lifecycle processes
  • Data discrepancy detection, root cause analysis and rectification

Preferred

• Experience with data discrepancy detection within the healthcare industry

Knowledge

• Knowledge of the basic concepts of managed care and health insurance, to ensure data validation aligns with industry needs and standards
• Familiarity with cloud platforms such as Microsoft Azure, especially in the context of data storage, processing, and validation

Skills and Abilities

• Expertise in data visualization tools (e.g., Tableau, Power BI) to present data validation results and insights
• Ability to apply DevOps practices, DataOps principles, and test automation best practices to data validation efforts
• Ability to remain updated with the latest in validation tools, techniques, and industry best practices.
• Ability to manage multiple validation projects simultaneously, especially under tight deadlines
• High degree of initiative, self-discipline, and discernment to identify potential data issues proactively
• Ability to learn, focus, understand, and evaluate information and determine appropriate actions
• Ability to accept direction and feedback, as well as tolerate and manage stress
• Ability to see, read, and perform repetitive finger and wrist movement for at least 6 hours/day
• Ability to hear and speak clearly for at least 3-6 hours/day

• Ability to quickly identify data discrepancies and determine their root cause
• Ability to convey data validation results and potential implications clearly to technical and non-technical stakeholders
• Implement feedback from superiors to enhance the validation process

Working Conditions

Indoor/Office Community Facilities/Security Outdoor Exposure

Member/Patient Facing: No Telephonic In Person

Hazards: May include, but not limited to, physical and ergonomic hazards

Equipment: General office equipment

Travel: May include occasional required or optional travel outside of the workplace; the employee's personal vehicle, local transit or other means of transportation may be used.

#Li-Remote

#MULTI

Candidates of color are strongly encouraged to apply. CareOregon is committed to building a linguistically and culturally diverse and inclusive work environment.

Veterans are strongly encouraged to apply.

We are an equal opportunity employer. CareOregon considers all candidates regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, disability, or veteran status.

Visa sponsorship is not available at this time.