Manager 1, Data Engineering (Healthcare IT)

TL;DR

Data Engineering Manager (Healthcare IT): Leading the management and construction of complex data pipelines, focusing on enhancing data reliability and minimizing redundancies. Focus on driving innovation and enhancing capabilities in big data and cloud technologies.

Location: Hybrid office-based roles and remote availability for some roles in United States, Chile, and Germany

Company

hirify.global is placing doctors and patients at the center of care through an intelligent, specialty-specific cloud platform.

What you will do

• Oversee a team of data engineers to enhance and maintain the big data platform, ensuring scalability, performance, and reliability.
• Architect and implement sophisticated big data processing pipelines using PySpark and Databricks, optimizing data throughput and processing capabilities.
• Use Airflow for the automation and orchestration of complex data workflows, maintaining data integrity and availability across systems.
• Work closely with product management and customer experience teams to design, develop, and deploy intuitive BI solutions that meet customer needs.
• Promote a culture of innovation and continuous learning, keeping abreast with the latest trends and advancements in big data, analytics, and cloud technologies.
• Ensure adherence to data governance, security, and compliance frameworks across all big data and analytics platforms, with a special focus on AWS and Databricks security practices.

Requirements

• 10+ years of relevant technical work experience in data engineering, platform engineering, or related fields, with expertise in designing and building distributed data systems and large-scale data warehouses.
• 3+ years of management experience in a technical work environment.
• Bachelor's degree in Computer Science, Data Science, Engineering, or a related field.
• Extensive experience in a leadership role within the field of data analytics or engineering, with a demonstrated proficiency in PySpark, SQL, Databricks, AWS and Airflow.
• Expert knowledge of big data architectures and processing techniques, with hands-on experience in managing large-scale data systems.
• Deep understanding of cloud infrastructure, preferably AWS, including best practices for security, scalability, and efficiency.

Culture & Benefits

• Comprehensive medical, dental, and vision benefits, including a company Health Savings Account contribution.
• ModMed provides a matching contribution each payday of 50% of your contribution deferred on up to 6% of your compensation.
• Generous Paid Time Off and Paid Parental Leave programs.
• Company paid Life and Disability benefits, Flexible Spending Account, and Employee Assistance Programs.
• Global presence and in-person collaboration opportunities; dog-friendly HQ (US), Hybrid office-based roles and remote availability for some roles.