Data Engineer - Remote

Overview

Join the Revolution in Nutrition Care! At DietitianLive, we’re reimagining nutrition therapy, making it accessible, brain-based, and whole-person focused. As a rapidly growing telehealth company, we empower clients to transform their lives through personalized, virtual care that goes far beyond food. With partnerships across major insurers, gyms, healthcare systems, and employers nationwide, we’re making high-quality nutrition coaching affordable, effective, and truly life-changing.

In Short

• Build and maintain data pipelines for structured and unstructured data.
• Optimize data models and database performance for analytics and reporting.
• Collaborate with engineering and product teams to ensure data accessibility.
• Implement best practices for data quality, governance, and security.
• Support integration of external APIs and third-party data sources.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or a related field.
• 4+ years of data engineering experience.
• Strong proficiency in SQL and at least one programming language (Python, Java, or Scala).
• Experience with ETL tools, data pipelines, and workflow orchestration (Airflow, dbt, etc.).
• Hands-on with cloud data warehouses (Snowflake, BigQuery, Redshift).
• Startup mindset: adaptable, proactive, and excited to contribute in a fast-moving environment.

Benefits

• Work in a fast-growing telehealth company.
• Opportunity to influence product and organizational growth.
• Collaborative work environment with engineering and product teams.
• Flexible work arrangements.
• Contribute to meaningful changes in nutrition therapy.