Chamber Cardio - Staff Data Engineer

• 7+ years of experience as a data engineer or similar role, with at least several years of experience in health tech. • Strong expertise in SQL and Python. • Hands-on experience with modern data warehousing technologies (e.g., Snowflake, BigQuery, Redshift). • Experience with data pipeline and workflow orchestration tools (e.g., Temporal, Airflow, Prefect, Dagster). • Experience with cloud platforms such as AWS (preferred), GCP, or Azure. • Solid understanding of data security principles and familiarity with healthcare data compliance requirements. • Experience with AI software development tools (e.g., Claude Code, Cursor) and an AI forward mindset • Demonstrated ability to work with messy, complex data and transform it into actionable insights. • Strong communication skills and the ability to work effectively in cross-functional teams. • Experience with DBT for data transformation and modeling. • Experience with lightweight, cloud-hosted secure data transfer solutions such as SFTPGo. • Experience with healthcare interoperability standards such as FHIR and HL7 event formats. • Experience with claims data sharing formats (e.g., 837, 834, CCLF) and modeling clinical quality measures (e.g., CQL). • Experience working with the Tuva Project. • Understanding of common clinical quality measure definitions and rules engine logic. • Chamber Values • Our values guide how we lead, collaborate, and care: • Low Ego: We stay grounded, curious, and open to feedback. • Low Ego: • Empathy: We build trust through compassion and thoughtful communication. • Empathy: • Courage: We take action, think critically, and challenge ideas respectfully. • Courage: • Ownership: We follow through with integrity and hold ourselves to high standards. • Ownership: • Grit: We push through ambiguity, move with urgency, and solve problems with horsepower and heart. • Grit: • Location • Remote. Must be based in the United States and authorized to work without sponsorship.