Build and maintain data pipelines for ingestion, transformation, and reporting with guidance from senior team members
Support Data Science and Business Intelligence teams with data preparation and quality assurance
Help monitor and troubleshoot data pipeline issues under supervision
Contribute to improving data quality and pipeline reliability initiatives
Learn to work with distributed systems and cloud technologies
Write clean, well-documented code following established team practices
Develop well-documented, tested data pipelines following team coding standards and best practices
Participate in code reviews and collaborative design sessions to continuously improve your technical skills
Work closely with product stakeholders to understand business requirements and translate them into technical solutions
Support data quality monitoring and help identify and resolve data issues
Contribute to team documentation and knowledge sharing initiatives
Stay curious and continuously learn new technologies and techniques

Bachelor's degree in Computer Science, Engineering, or related field, OR equivalent experience through bootcamps, self-study, or professional projects
0-2 years of experience with data engineering, analytics, or related technical roles (internships and personal projects count!)
Basic proficiency with SQL and Python (we'll help you grow these skills!)
Familiarity with or interest in learning modern data tools like dbt, Airflow, or cloud platforms
Strong communication skills and enthusiasm for learning in a collaborative environment
Interest in healthcare technology and improving patient outcomes

Comprehensive mentorship and professional development opportunities
Exposure to cutting-edge healthcare data challenges and modern data technologies
Collaborative, supportive team environment focused on learning and growth
Opportunity to make a real impact on patient health outcomes
Flexible, remote-first work environment with strong team culture

Junior Data Engineer

Key skills