Senior Data Engineer

Atlas Medical Data Group is seeking a Senior Data Engineer to take ownership of and extend the Azure data warehouse supporting ABES, an ABA therapy practice, and its management services organization. The role focuses on integrating operational systems, building trusted finance and operations models and reporting, feeding ERPNext, and automating accounting workflows.

Responsibilities:

• Pick up the warehouse as it stands, learn how it was built, and take ownership of it
• Extend the integrations already in place and add new ones, starting with banking. Some systems offer APIs and some only offer exports
• Build out the transformation layers and the models the business runs on, including clients, sessions, authorizations, claims and payments, staff, hours, and pay
• Deliver gross profit reporting and a reconciliation between payroll and billed services
• Feed ERPNext the data the books need, build report delivery inside ERPNext where it fits, and support the move off QuickBooks and the year-end close
• Find the manual steps between the source systems, the warehouse and the books, and automate them
• Build data quality checks and documentation so the finance team can trust the numbers without rechecking them
• Help make platform decisions. Microsoft Fabric, Snowflake, and Databricks are under evaluation, and transformation tooling is still open
• Use AI developer tooling as a normal part of how you build

Requirements:

• A hands-on data engineer with cloud infrastructure experience on any of the major clouds (Azure, AWS or GCP), including setting up and deploying your own resources
• Strong SQL and dimensional modeling
• You have designed warehouses that finance or operations teams rely on
• Strong Python for integration work
• You have pulled data from SaaS and line-of-business systems through APIs and exports, handled different formats and authentication, and built it so the next source is easy to add
• Has built and run a data platform end to end and supported it in production
• Works well with ambiguity
• Can take a business question from a finance or operations lead and turn it into a data model and a working report
• Must be authorized to work in the US without sponsorship
• Experience with finance data (general ledger, close, ERP, reconciliation) or healthcare data (claims, revenue cycle, HIPAA)
• Both is ideal