Senior Data Engineer

About this role

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Skills you'll use

What you'll do

• Develop and support ETL workflows that extract, transform, and load data from source systems into athenahealth environments.
• Write and maintain functions used for data analysis, validation, reconciliation, and troubleshooting.
• Build Python scripts and utilities that support import, migration, and automation activities.
• Partner with internal teams to define source-to-target mappings, business rules, and migration requirements.
• Review inbound and outbound data to identify gaps, defects, and transformation issues.
• Support interoperability workflows using HL7 and FHIR standards.
• Perform EHI export-related tasks and validate output for completeness and accuracy.
• Investigate data issues, document findings, and help drive resolution across teams.
• Maintain technical documentation for processes, dependencies, and validation steps.
• Use AI to improve productivity in data analysis and development tasks, while applying human review to confirm accuracy and align outputs to the needs of the work.

Who can apply

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent practical experience.
• 5+ years of experience in data engineering, ETL, data migration, or a related technical discipline.
• Experience working with ETL, SQL, and Python.
• Experience supporting data imports, conversions, migrations, or similar data movement work.
• Familiarity with HL7 and FHIR interoperability standards.
• Experience with EHI Export or related healthcare data export workflows preferred.
• Experience working with healthcare data, healthcare technology, or implementation-focused teams preferred.
• Ability to analyze data, identify issues, and document technical results clearly.
• Ability to work effectively in a remote, cross-functional environment.
• Strong problem-solving, communication, and collaboration skills.

Perks & benefits

About Athenahealth

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