Senior Data Engineer

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🕒 May 14

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SmartLight Analytics

WebsiteLinkedInAll Job Openings

1 - 10 employees

Founded 2016

⚕️ Healthcare Insurance

💳 Fintech

Healthcare Insurance • Fintech • Data Services

SmartLight Analytics is a healthcare analytics company that provides independent and ongoing monitoring of employee healthcare claims data. They focus on identifying and eliminating wasteful spending within health plans, ultimately lowering healthcare costs for self-funded employers without requiring changes in employee behavior. With a team of experts in data analysis, healthcare, and fraud investigation, SmartLight Analytics aims to improve healthcare benefits and promote high-value care for its clients while ensuring compliance with healthcare regulations.

📋 Description

• 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.

🎯 Requirements

• Bachelor’s degree in Computer Science, Data Engineering, or related field, or equivalent experience. • 10+ years of experience in data engineering, ETL development, and data warehouse modeling. • Proven hands-on experience with Snowflake, including architecture, optimization, and security. • Strong proficiency in SQL and Python. • Experience with at least one major BI/visualization platform (e.g., Power BI, Tableau, Looker, Sigma). • Experience with dbt and Azure Data Factory. • Prior experience working with healthcare data, including familiarity with data sensitivity, HIPAA, and security best practices. • Experience implementing row-level and/or column-level security in a data warehouse environment. • Strong self-management skills with the ability to work independently in a fully remote environment.

🏖️ Benefits

• Health care claim data management • Ownership and collaboration • Mentorship opportunities • Hands-on technical role