Senior Data Engineer

The role

The Senior Data Engineer will build, optimize, and maintain data pipelines. They will also define reusable data sets and design data validation frameworks using a modern data stack.

What you will do

• Build, optimize, and maintain data pipelines that power our business
• Define and build out abstracted reusable data sets to be used for Business Intelligence, Marketing, and Data Science Research
• Design, build, and evangelize a federated data validation frameworks to be used to monitor potential data inconsistencies
• Protect our users’ privacy and security through best practices

Required qualifications

• 4+ years of software/data engineering experience (distributed data processing, data warehousing, data governance, Big Data, data variance, data privacy, and data quality)
• Expertise in SQL, job experience, and demonstrated strength with Python
• Expertise in building scalable data pipelines, query optimization, data modeling, and defining reusable datasets
• Experience working with orchestration tools (especially Airflow), databases (especially PostgreSQL), datalakes (especially Iceberg), data warehouses (especially Snowflake)
• Expertise with SQL tuning, Spark development, medallion and event-driven architectures

Nice to have

• Familiarity with healthcare or insurance
• Familiarity with data security and HIPAA compliance

Benefits

• equity incentive
• flexible PTO
• Medical/Dental/Vision plan options
• 401(k) with company match
• flexible spending accounts
• Teladoc Health

About the company

Garner partners with employers to redesign how healthcare works by identifying best-performing doctors using proprietary clinical metrics. The company uses AI to help members access higher-quality care and lower healthcare costs.