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Data Engineer

3 months ago

Durham, United States Infinia ML Inc Full time

The Company

Infinia ML, based in the Raleigh-Durham area, is an AI company specializing in automating workflows in healthcare. Infinia ML is part of Aspirion, a leading provider of complex claims and denials management services. Aspirion helps hospitals and healthcare systems minimize patient burden by maximizing reimbursement from insurance companies. Infinia ML has developed a versatile and standardized platform for processing written content in documents, such as medical records, insurance claims, correspondence and more leveraging the power of ML, including LLMs. We are seeking a Data Engineer to join our Data Science team and help support the delivery of AI-enabled solutions to transform our business.

The Role

We are seeking a Data Engineer with experience in healthcare data management and a strong understanding of data governance principles. The ideal candidate will be responsible for building and maintaining data pipelines, ensuring data quality, and generating operational KPIs for stakeholders. This role requires a blend of technical expertise, analytical skills, and an understanding of healthcare data compliance and regulations.

Key Responsibilities:

  • Data Pipeline Development and Maintenance:
  • Design, develop, and maintain robust data pipelines to ingest, process, and store healthcare data from various sources.
  • Implement data transformation and integration processes to ensure data is accurate, consistent, and available for analysis and reporting.
  • Data Governance and Compliance:
  • Ensure adherence to data governance policies, standards, and best practices to maintain data integrity and security.
  • Implement data quality checks and validation processes to guarantee data accuracy and reliability.
  • Stay up-to-date with healthcare data regulations (e.g., HIPAA) and ensure compliance in all data processing activities.
  • KPI Reporting:
  • Develop and automate the generation of operational KPIs for stakeholders, ensuring timely and accurate reporting.
  • Collaborate cross-functionally with different stakeholders and teams to define and refine KPI metrics and reporting requirements.
  • Create data visualizations and dashboards to present KPI results in an accessible and actionable manner.
  • Collaboration and Support:
  • Work closely with data analysts, data scientists, and other stakeholders to understand data needs and provide necessary support.
  • Assist in the troubleshooting and resolution of data-related issues and discrepancies.
Minimum Qualifications:
  • Bachelor's or Master's degree in Computer Science, Information Technology, Data Science, or a related field.
  • Proven experience as a Data Engineer
  • Strong proficiency in SQL and experience with database technologies.
  • Proficiency in Python programming.
  • Experience with Linux.
  • Experience with cloud environments, e.g., AWS, Azure, Google Cloud.
  • Experience with data visualization, e.g. PowerBI, Tableau.
  • Strong analytical and problem-solving skills.
  • Excellent communication and collaboration abilities.
  • Must be a US citizen or a Green Card Holder
  • This is a remote position, but local candidates are preferred
Preferred Qualifications:
  • Knowledge of healthcare data standards and regulations (e.g., HIPAA, HL7, FHIR) is highly desirable.
  • Prior experience in the healthcare industry