Manager of Client Data Engineering, Abacus Insights

• The ideal candidate will possess extensive expertise in ETL processes and data mapping integration, with a strong understanding of healthcare systems and clinical data to effectively address industry-specific challenges
• Proficiency in Python and PySpark is essential for data manipulation, while advanced SQL skills will support efficient dataset management
• Familiarity with AWS services, Databricks, and Snowflake is crucial for a comprehensive approach to data storage and processing
• Experience with GitLab or GitHub is also necessary to ensure seamless collaboration and code management
• This hands-on managerial role demands both leadership and technical proficiency to drive successful client implementations
• Proven Experience in Data Engineering: Minimum of 5 years in data engineering with a focus on client implementations
• Strong InterOp Knowledge: Demonstrated expertise in InterOp processes and technology
• Leadership Skills: Experience in managing and mentoring technical teams
• Collaboration with Global Teams: Proven ability to work effectively with offshore and diverse teams
• Efficient Process Management: Track record of streamlining data implementation processes
• Communication Proficiency: Excellent written and verbal communication skills for client and team interactions
• Analytical Abilities: Strong problem-solving skills with a data-driven approach
• ETL Expertise: Extensive experience in Extract, Transform, Load processes, with a proven ability to handle complex data integration tasks
• Data Mapping Proficiency: Skilled in mapping diverse data formats, ensuring seamless data flow and transformation
• Healthcare Knowledge: Strong understanding of healthcare systems and standards, enhancing the ability to address industry-specific data challenges
• Clinical Data Acumen: Experience with clinical data, including familiarity with electronic health records and compliance requirements
• Python/PySpark Skills: Proficient in using Python and PySpark for data manipulation and analysis
• Strong SQL Experience: Advanced SQL skills for querying, optimizing, and managing large datasets efficiently
• AWS Expertise: Proficient in using AWS services for data storage, processing, and analytics
• Databricks Experience: Hands-on experience with Databricks for big data processing and collaborative analytics
• Snowflake Skills: Knowledgeable in using Snowflake for efficient data warehousing and management solutions
• Version Control Experience: Familiarity with code check-in processes and experience using GitLab or GitHub for version control and collaboration

Desirable

• The Manager, Client Data Engineering is a pivotal member of our TechOps/Technical Implementation team, responsible for overseeing a global team of 10-12 professionals
• This role requires a highly experienced individual to guide feature delivery teams and lead client implementation efforts
• The focus is on managing data engineering processes, particularly in ETL, data mapping, and clinical data management
• Oversee Implementation Team: Lead the team responsible for implementing new clients, ensuring all processes are carried out smoothly and efficiently
• Streamline CMS InterOp Implementation Process: Enhance and optimize the InterOp implementation procedures to improve efficiency and performance
• Collaborate with Offshore Teams: Work closely with offshore teams to align efforts and achieve common goals
• Mentor and Guide New Hires: Provide guidance and support to new team members, fostering a collaborative and productive work environment
• Manage Day-to-Day Operations: Take on some of the current manager’s responsibilities to ensure the seamless execution of daily implementation tasks
• Set Performance Metrics: Establish clear performance objectives and key results for the team, tracking progress and making necessary adjustments
• Foster Innovation: Encourage the team to explore new methods and technologies to continually improve client data engineering processes