Abett

Data Engineer

• Own data pipelines (including claims, eligibility, HR, engagement, clinical, and more) connecting clients and vendors
• Translate vendor data layouts into Abett’s standard data models
• Configure pipelines, SFTP connections, mappings, and data quality validations
• Troubleshoot data issues and work directly with client/vendor technical teams to resolve discrepancies
• Contribute to reusable data models and quality frameworks that reduce custom work across clients
• Surface integration pain points and edge cases to inform Product and Engineering roadmaps
• Build and deploy data pipelines using SQL, Python, and cloud-native tools
• Map vendor data feeds to Abett’s standardized data models
• Implement automated checks for data quality, completeness, and timeliness
• Rapidly troubleshoot issues when they arise
• Develop pipeline standards and templates that move from one-off integrations towards standardized connectors
• Partner with Implementation and Client Services counterparts to support kickoff through go-live
• Work closely with customer and vendor technical counterparts to design integrations and resolve data quality issues
• Identify recurring integration patterns and inefficiencies, propose improvements to productized workflows
• Maintain clear technical specifications and implementation notes for reuse and auditability

Healthcare Data Engineer, Integrations