Salary 💰 $130,000 - $150,000 per year
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 Collaborate directly with technical and non-technical stakeholders to clarify requirements, communicate tradeoffs, and ensure successful go-lives 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 Requirements 4+ years' experience in solutions engineering, data integration, or customer-facing data engineering roles 3+ years’ direct experience working with healthcare, benefits, and/or health insurance data (eligibility, claims, EMR/EHR, Rx) Strong proficiency in SQL and 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 Copy Applicant Tracking System Keywords Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills SQL Python ETL ELT dbt Dagster data quality validation data transformation data modeling data integration
Soft skills communication troubleshooting collaboration problem-solving independence adaptability stakeholder management clarifying requirements interfacing with clients working in ambiguous environments