Staff Data Engineer
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 1d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 4d ago
The date the source published, not the day we noticed it (2026-10-07). Last seen at its source 3h ago.
We have tracked this listing since 7 Oct 2026 (4 days). The employer's own board has carried it every time we have read it, most recently 3 hours ago.
Is it remote?
Remote
That is the location the employer filed this posting under. Quoted as written — we do not re-word the source's own location.
Who may apply?
United States
No source stated where this role may be worked. This is read from the ad's own words.
What the ad says
…Must be based in the United States and authorized to work without sponsorship…
Pay not stated
Similar roles pay $167.5k–231.5k/yr
Middle 50% of 2263 listings that do state pay — Engineering · Senior · United States · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
Ashby employer's own board first seen 4d ago · last seen 3h ago
- location not stated
The listing
About Chamber:
Cardiovascular disease remains the leading cause of death in America. At Chamber, we are rebuilding the system for cardiology, creating a world where outcomes, not volume, define success. We partner with independent cardiologists to help them lead population health efforts in their communities, equipping them with technology, data, and operational tools that turn complex insights into better care for patients.
Our model blends clinical expertise, thoughtful design, and a modern operating platform that supports physicians, patients, and payers alike. We believe innovation and empathy go hand in hand, and by combining cutting-edge AI tools with a relentless focus on human care, we can transform heart health at scale.
Job Overview:
We are seeking a Staff-level Data Engineer who is 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, which provide 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 to support our 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 to handle complex healthcare datasets efficiently.
Ensure data security and compliance with healthcare industry standards (e.g., HIPAA, 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.
Required Qualifications:
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.
Preferred Experience:
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.
Nice to Have:
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.
Empathy: We build trust through compassion and thoughtful communication.
Courage: We take action, think critically, and challenge ideas respectfully.
Ownership: We follow through with integrity and hold ourselves to high standards.
Grit: We push through ambiguity, move with urgency, and solve problems with horsepower and heart.
Location
Remote. Must be based in the United States and authorized to work without sponsorship.