DBT Developer (Remote / EST hours)
- Published on
About the Role
A health services network is currently seeking an experienced professional to join their staff as their new DBT Developer. In this role, the DBT Developer will be responsible for developing, deploying, and enhancing DBT models to improve data processing and standardization.
Responsibilities
- Remodel and enhance existing DBT models to improve data processing and standardization.
- Develop new DBT ETL pipelines as additional payers are onboarded.
- Work with payer data including claims, eligibility, and premium data.
- Transform data from multiple payers like Aetna, BCBS, Humana, and Anthem into standardized tables for member data and standardized claims data.
- Utilize DBT for ETL processes, ensuring data is correctly processed and loaded into the internal data warehouse (SQL Server).
- Collaborate closely with the team managing Apache Airflow and Python scripting to ensure seamless integration and data flow.
- Fix bugs and perform root cause analysis for issues such as incorrect Claim Paid totals or membership counts, and patient matching/MPI issues.
About the Candidate
The ideal candidate will possess experience developing DBT models with healthcare payer data, including claims, eligibility, and premium data. Required technical skills include proficiency in DBT, Python, and SQL scripting, along with a strong understanding of ETL pipeline development and management. Familiarity with Apache Airflow for managing workflows will be an added advantage.
Company Culture and Benefits
Tandym Group fosters a collaborative and innovative work environment, encouraging growth among employees while focusing on excellent healthcare services. The company supports its staff with competitive compensation and offers flexible hours, allowing for better work-life balance in a fully remote position, with expectations of availability during EST hours.
Employment Details
This is a full-time position that offers the opportunity to work remotely while being involved in significant projects geared towards improving data processing in the healthcare sector.