5+ years of experience in data engineering with strong SQL and ETL skills.
Experience with SSIS and legacy SQL Server-based data marts.
Proficiency in Google BigQuery and/or similar cloud data warehouses.
Hands-on experience with DBT or modern transformation frameworks.
Requirements:
Design, develop, and optimize scalable data pipelines and ETL processes.
Collaborate with analytics, data science, and product teams to translate requirements into data models and data flows.
Migrate on-premises data pipelines to cloud-based data platforms and manage cloud infrastructure.
Implement data quality, governance, and dimensional modeling practices to support reporting and analytics.
Job description
Sr. Data engineer
Location – Remote (USA)
Duration - Contract US Citizens, GC visa holders preferred, NO third party corp to corp accepted for this job
Qualifications:
Required:
• 5+ years of experience in data engineering with strong SQL and ETL skills.
• Experience with SSIS and legacy SQL Server–based data marts.
• Proficiency in Google BigQuery and/or similar cloud data warehouses.
• Hands-on experience with DBT or modern transformation frameworks.
• Strong knowledge of dimensional modeling and data warehousing principles.
• Experience migrating on-prem pipelines to cloud platforms.
• Familiarity with GCP-native services such as Cloud Storage, Pub/Sub, Dataflow, Composer, and IAM.
• Strong knowledge of Healthcare Information Systems.
