Intetics Inc. is seeking a Middle Data Engineer to join a project building an innovative healthcare solution. This platform automates the management of patient and insurance data, reducing administrative work for doctors by streamlining data distribution.
What You'll Do
- Monitor and manage upstream schema changes, updating data pipelines accordingly
- Troubleshoot ETL/ELT job failures and ensure smooth data operations
- Debug and optimize queries in BI tools such as Superset, Looker, and Tableau
- Address data quality and data access issues proactively
- Document fixes, changes, and improvements for future reference
What We're Looking For
- 2–4+ years of experience in a Data Engineering or similar role
- Strong SQL expertise
- Hands-on experience with Fivetran, dbt, and Airflow (or similar orchestration tools)
- Experience with Snowflake or an equivalent cloud data warehouse
- Familiarity with BI tools such as Superset, Looker, Tableau
- Experience with AWS in a data context
- Ability to work independently with minimal supervision
- Availability for 3–4 hrs/day overlap with the PST timezone
Technical Stack
- SQL
- Fivetran
- dbt
- Airflow
- Snowflake
- Superset
- Looker
- Tableau
- AWS
Work Mode
This is a global remote position.
Intetics Inc. is an equal opportunity employer.
