Staff Data Engineer

🕒 October 7

🇺🇸 United States – Remote

⏰ Full Time

🔴 Lead

🚰 Data Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 31%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.Why this score:

• Open for 39 days.
• Jobs at this company usually fill in 37 days.
• 7 open roles for a team of 12.
• No salary listed.

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Chamber

WebsiteLinkedInAll Job Openings

1 - 10 employees

🏥 Healthcare

⚕️ Healthcare Insurance

☁️ SaaS

Healthcare • Healthcare Insurance • SaaS

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.

📋 Description

• Design, build, and maintain scalable ETL pipelines and data models to support analytics and product needs • Develop robust data integration workflows enabling seamless data exchange between internal systems and external data sources • Optimize and scale cloud-hosted databases and data infrastructure for complex healthcare datasets • Ensure data security and compliance with healthcare industry standards such as HIPAA and HITRUST • 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

🎯 Requirements

• 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 • Must be based in the United States and authorized to work without sponsorship

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