Remote Data Engineer

Description:

• Cylinder is seeking an experienced Data Engineer to support claims processing, data insights, and analytics efforts in the healthcare and insurance industry.
• The role involves integrating external and internal data sources, with a focus on medical and prescription claims data ingestion to enable data analytics and data science efforts.
• The Data Engineer will collaborate with Clinical Research and Client Success teams to assess the impact of programs on clinical outcomes and personalize the member experience.
• Responsibilities include expanding capabilities to organize medical and pharmaceutical claims data, writing automated pipelines, collaborating with stakeholders, and developing software with documentation, test coverage, and metrics.
• The ideal candidate should be able to reason through distributed systems and deliver solutions emphasizing simplicity, reliability, and supportability.
• The position offers the opportunity to work on compelling problems, make decisions, and shape the future in a small company environment passionate about improving clinical outcomes and advancing GI health.

Requirements:

• 3+ years of experience building and supporting data pipelines, SaaS solutions, or related technologies.
• Proficiency in SQL, Python, and ELT/ETL solutions, with experience in medical, healthcare, or population health data.
• Familiarity with Google Cloud Platform (GCP) frameworks like BigQuery, Pub/Sub, Cloud Composer.
• Strong communication and interpersonal skills, with experience in a regulated environment supporting data security and privacy controls.
• Desired qualifications include experience with DBT or similar data transformation frameworks and a degree in Computer Science or a related field.

Benefits:

• Opportunity to work on compelling problems in the healthcare and insurance industry.
• Chance to shape the future and make decisions in a small company environment.
• Collaborative work environment with a focus on improving clinical outcomes and advancing GI health.
• Remote work flexibility with a distributed workforce.
• Emphasis on protecting customer healthcare data and maintaining data security and privacy controls.