Staff Data Engineer

We are looking for a Staff Data Engineer to lead the engineers on the Health Intelligence team in building robust, scalable data pipelines, tooling, and infrastructure. This role reports to the Manager, Data Engineering. The ideal candidate will have 10+ years of experience in Data Engineering or distributed Software Engineering, with a Computer Science degree or equivalent experience demonstrating CS fundamentals. The role involves building high quality data systems, implementing algorithms to improve accuracy, and partnering with engineers across Garner to define and implement coding standards.

Requirements

• 10+ years of experience in Data Engineering or distributed Software Engineering
• Computer Science degree or equivalent experience demonstrating CS fundamentals
• Mastery of Python, as well as SQL for data extraction, transformation, and analysis
• 3+ years of experience working in the cloud (AWS preferred)
• 3+ years of experience building ETL/ELT pipelines with tools like Apache Spark, Apache Beam, AWS Glue, etc.
• 2+ years managing pipeline workflows with tools such as Airflow, Argo, Prefect, etc.
• 2+ years of experience working with Apache Iceberg, AWS Lake Formation, Apache Hudi or equivalent
• 2+ years of experience leveraging analytical solutions such as Snowflake, Redshift, BigQuery, or Trino for large-scale data processing and analytics
• 2+ years of experience leading other Data Engineers on complex big data initiatives as the tech lead
• Preferred experience working in an environment that required strict data privacy standards (e.g., GDPR, HIPAA) and security best practices
• Preferred experience with Kubernetes
• Preferred experience with Tableau, Looker, or other data visualization and reporting solutions

Benefits

• flexible PTO
• Medical/Dental/Vision plan options
• 401(k)
• Teladoc Health