Data EngineerTitle of Role: Data EngineerLocation: New York, hybridCompany Stage of Funding: Venture-Backed — Healthcare, Fintech, AI, B2BOffice Type: HybridSalary: $180K–$280KCompany DescriptionWe're representing a forward-thinking company that is automating financial operations for healthcare providers. Their innovative approach focuses on managing denials and unpaid claims, leveraging cutting-edge technology to streamline processes and improve efficiency in the healthcare sector.What You Will DoDesign and implement data pipelines to automate the processing of financial operations.Utilize Python and Airflow to develop robust ETL processes for handling large datasets.Collaborate with cross-functional teams to identify data requirements and ensure data quality.Monitor and optimize data workflows to enhance performance and reliability.Analyze and visualize data to provide actionable insights for operational improvements.Ideal Candidate Background3+ years of experience in data engineering or related fields.Proficiency in Python for data manipulation and analysis.Experience with Apache Airflow for workflow management and orchestration.Strong understanding of data modeling, ETL processes, and data warehousing concepts.PreferredFamiliarity with cloud platforms such as AWS, GCP, or Azure.Experience in the healthcare or fintech industries.Knowledge of machine learning concepts and data analytics tools.Compensation and BenefitsThe base salary for this role ranges from $180K to $280K, offering a competitive compensation package along with comprehensive benefits to support your professional growth and well-being.