Staff Data Engineer

Chamber Cardio; United States; A distancia; USD 150.000 - 190.000; Jornada completa

Descripción de la vacante

Chamber is seeking a Staff-level Data Engineer who will design scalable data architecture powering our analytics for cardiologists, care teams, and patients. You will own ETL pipelines, data models, and secure cloud data stores in a fast-paced health-tech environment.

The role emphasizes HIPAA compliance, collaboration with product and engineering, and delivering reliable data insights across our core products. Remote in the United States, must be authorized to work without sponsorship.

Formación

• 7+ years of experience as a data engineer or similar role, with health tech exposure.
• Strong expertise in SQL and Python.
• Hands-on experience with modern data warehousing technologies (Snowflake, BigQuery, Redshift).
• Experience with data pipeline and workflow orchestration tools (Temporal, Airflow, Prefect, Dagster).
• Cloud platforms such as AWS, GCP, or Azure.
• Solid understanding of data security and healthcare data compliance.
• Experience with AI software development tools and an AI-forward mindset.
• Ability to transform messy data into actionable insights and communicate across teams.

Responsabilidades

• Design, build, and maintain scalable ETL pipelines and data models to support analytics and product needs.
• Develop robust data integration workflows for internal and external sources.
• Optimize and scale cloud-hosted databases and data infrastructure for healthcare datasets.
• Ensure data security and HIPAA/HITRUST compliance.
• Collaborate with product, engineering, and clinical teams to define data requirements.
• Create documentation and monitoring solutions to ensure data reliability and transparency.

Conocimientos

SQL

Python

Data Warehousing

Data Pipelines

Cloud Platforms

Data Security

AI Tools

Cross-functional Collaboration

Herramientas

Snowflake

BigQuery

Redshift

Temporal

Airflow

Prefect

Dagster

Descripción del empleo

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.