Intetics Inc., a leading American technology company specializing in custom software application development, distributed professional teams creation, software product quality assessment, and “all-things-digital” solutions, is looking for a Middle Data Engineer to join its innovative team.
The client is building an innovative healthcare solution designed to speed up and simplify how doctors manage patient and insurance data.
Currently, doctors need to log into 30+ different systems to ensure treatments are covered by insurance. Our solution automates this by copying and distributing patient information across all required systems, dramatically reducing the time spent on administrative work.
Key Responsibilities
Monitor and manage upstream schema changes, updating pipelines accordingly
Troubleshoot ETL/ELT job failures and ensure smooth data operations
Debug and optimize queries in BI tools (Superset, Looker, Tableau)
Address data quality and data access issues proactively
Document fixes, changes, and improvements for future reference
Requirements
2–4+ years in Data Engineering or similar role
Strong SQL expertise
Hands-on experience with Fivetran, dbt, Airflow (or similar orchestration tools)
Snowflake or equivalent cloud data warehouse experience
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 PST timezone
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