Senior Data Engineer

January 1

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Chamber

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Chamber is a company focused on improving cardiovascular health by empowering cardiology teams to thrive in a value-based care environment. It partners with cardiologists to offer technology solutions and support services that enable comprehensive care and unlock new revenue opportunities, at no cost to the practice. Chamber aids in navigating value-based care through real-time insights, administrative support, and expertise in payer negotiations. With a strong network of high-performing cardiologists and partnerships with hospital systems, Chamber is transforming the cardiology care ecosystem to ensure providers are compensated for delivering the right care at the right time.

cardiology • value-based care • cardiology practices

2 - 10 employees

⚕️ Healthcare Insurance

☁️ SaaS

📋 Description

• About Chamber: Chamber is revolutionizing cardiovascular care through cutting-edge technology and a collaborative team of dedicated professionals. • Job Overview: We are seeking a Senior Data Engineer passionate about creating scalable, secure, and efficient data systems. • You will play a pivotal role in designing and implementing the data architecture that powers our core products, providing actionable insights to cardiologists, care teams, and patients. • The ideal candidate combines deep technical expertise with an eagerness to collaborate and innovate within a fast-paced, early-stage health tech environment. • Key Responsibilities: Design, build, and maintain scalable ETL pipelines and data models. • Develop robust data integration workflows, enabling seamless data exchange. • Optimize and scale cloud-hosted databases and data infrastructure. • Ensure data security and compliance with healthcare industry standards. • Collaborate with product, engineering, and clinical teams to define and implement data requirements. • Create documentation and implement monitoring solutions to ensure data reliability and transparency. • Why Chamber? If you’re excited about building data systems that make a real difference in healthcare, we’d love to hear from you.

🎯 Requirements

• 5+ years of experience as a data engineer or similar role. • Strong expertise in SQL and Python. • Hands-on experience with modern data warehousing technologies (e.g., Snowflake, BigQuery, Redshift). • Proficient in data pipeline and workflow orchestration tools (e.g., 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. • 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. • Familiarity with lightweight, cloud-hosted secure data transfer solutions such as SFTPGo. • Exposure to healthcare interoperability standards such as FHIR and HL7 event formats. • Familiarity with claims data sharing formats (e.g., 837, 834, CCLF) and modeling clinical quality measures (e.g., CQL). • Experience working with or knowledge of the Tuva Project. • Understanding of common clinical quality measure definitions and rules engine logic. • Prior experience in a health tech or value-based care environment.

🏖️ Benefits

• Mission-Driven Work: Contribute to impactful solutions that improve cardiovascular care for patients nationwide. • Collaborative Team: Work alongside talented professionals who are passionate about technology and healthcare. • Growth Opportunity: Be a key player in an early-stage company, with significant opportunities for personal and professional growth. • Remote Flexibility: Work from wherever you’re most productive.