Senior Data Engineer
SmartLight AnalyticsThis is a hands-on technical role requiring strong self-management, a proven ability to mentor peers, and comfort working with sensitive healthcare data under strict security requirements. As a scaling technology organization, we value ownership, collaboration, and continuous improvement — you will have a direct hand in shaping the tools, processes, and architecture that power our data platform.
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.
Key Responsibilities
- Design, build, and maintain ETL and reverse-ETL pipelines between Snowflake, Azure Data Factory, and legacy SQL Server systems.
- Develop and optimize Snowflake data warehouse models, ensuring performance, reliability, and high availability.
- Implement and maintain row-level and column-level security policies to protect sensitive healthcare data.
- Partner with the existing SQL Server Data Engineering team to plan and execute the migration of legacy ETL processes and warehouse models to Snowflake and the cloud.
- Build and maintain data transformations using dbt.
- Monitor pipeline health, troubleshoot failures, and ensure uptime and data integrity across all data flows.
- Mentor peers and contribute to engineering best practices, code reviews, and documentation.
- Learn and adopt Sigma as the organization’s BI and reporting tool.
Required Skills and Qualifications
- Bachelor’s degree in Computer Science, Data Engineering, or related field, or equivalent experience.
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