Data Engineer

RhythmScience • San Francisco, CA

95d

About The Position

We're looking for a skilled Analytics/Data Engineer to maintain and expand our critical BI project. You'll collaborate with our data, engineering, and clinical teams to build robust, scalable, and high-quality data workflows that power our platform and insights.

Requirements

• 3+ years in data engineering or similar roles.
• Strong Python and SQL skills.
• Experience with dbt for data modeling.
• Familiarity with cloud data warehouses (e.g., BigQuery, Snowflake) and ETL/ELT.
• Experience with Git and collaborative development.
• Ability to work independently in a remote team.
• Excellent communication and problem-solving skills.

Nice To Haves

• Healthcare experience (HIPAA, GDPR).
• Familiarity with Dagster or Airflow.

Responsibilities

• Maintain and optimize an ETL project (Python, DBT, cloud-based data workflows).
• Develop new data models, transformations, and analytics features.
• Work with data scientists, analysts, and product managers to deliver reliable data.
• Ensure data quality, integrity, and security.
• Troubleshoot data ingestion, transformation, and delivery issues.
• Contribute to documentation and best practices.
• Stay current with industry trends in data engineering and healthcare tech.

Benefits

• 100% remote with flexible hours.
• Opportunity to significantly impact healthcare.
• Collaborative, mission-driven team.
• Competitive compensation and benefits.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level