Abett

Healthcare Data Engineer, Integrations

Abett

full-time

Posted on:

Origin:  • 🇺🇸 United States

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Salary

💰 $130,000 - $150,000 per year

Job Level

Mid-LevelSenior

Tech Stack

CloudETLJavaScriptPythonSQL

About the role

  • 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

Requirements

  • 4+ years' experience in data engineering, data integration , or solutions engineering roles
  • 3+ years’ direct experience working with healthcare, benefits, and/or health insurance data (eligibility, claims, EMR/EHR, Rx)
  • Fluency in core healthcare data concepts, including coding terminology, claims management, and enrollment/eligibility relationships
  • Strong proficiency in SQL
  • Experience with Python for data transformation
  • Experience with modern ETL/ELT tools and data platforms, including dbt and Dagster
  • Understanding of data exchange protocols (SFTP, APIs, HL7, EDI)
  • Proven ability to troubleshoot and resolve complex data quality issues
  • Strong communication skills and comfort interfacing with external vendors and clients
  • Ability to work independently in ambiguous, evolving environments
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