Client Data Engineering Manager

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Abacus Insights

WebsiteLinkedInAll Job Openings

Healthcare • Data Management • Analytics • SaaS Platform • Healthcare Data Transformation

51 - 200 employees

⚕️ Healthcare Insurance

☁️ SaaS

Description

• Abacus Insights is a mission-driven technology company focused on transforming the healthcare data industry, ultimately creating a more personalized patient experience, improving health outcomes, and lowering the overall cost of healthcare. • Abacus Insights provides a flexible, efficient, and secure platform that organizes and exchanges healthcare data from various sources and formats, allowing our customers to uncover differentiated insights. • With our deep expertise in cloud-enabled technologies and knowledge of the healthcare industry, we have built an innovative data integration and management platform that allows healthcare payers access to data that has been historically siloed and inaccessible. • Since our founding in 2017, Abacus has built a highly successful SaaS business, raising more than $81 Million from leading VC firms with deep expertise in the healthcare and technology industries. • 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.

Requirements

• 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. • Technical Skills • 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.