Senior Data Engineer

At Commure, our mission is to simplify healthcare. We have bold ambitions to reimagine the healthcare experience, setting a new standard for how care is delivered and experienced across the industry. Our growing suite of AI solutions spans ambient AI clinical documentation, provider copilots, autonomous coding, revenue cycle management and more — all designed for providers & administrators to focus on what matters most: providing care.

Healthcare is a $4.5 trillion industry with more than $500 billion spent annually on administrative costs, and Commure is at the heart of transforming it. We power over 500,000 clinicians across hundreds of care sites nationwide – more than $10 billion flows through our systems and we support over 100 million patient interactions. With new product launches on the horizon, expansion into additional care segments, and a bold vision to tackle healthcare's most pressing challenges, our ambition is to move from upstart innovator to the industry standard over the next few years.

Commure was recently named to Fortune’s Future 50 list for 2025 and is backed by world-class investors including General Catalyst, Sequoia, Y Combinator, Lux, Human Capital, 8VC, Greenoaks Capital, Elad Gil, and more. Commure has achieved over 300% year-over-year growth for the past two years and this is only the beginning. Healthcare's moment for AI-powered transformation is here, and we're building the technology to power it. Come join us in shaping the future of healthcare.

We’re building the next generation of data infrastructure to support administrative healthcare services (RCM, EHR, ambient scribing, and more). Our systems process large-scale patient-related data and require secure, performant, and compliant handling of sensitive healthcare information. We’re looking for a Data Engineer who can design, optimize, and extend our data pipelines and platforms, enabling analytics, observability, and secure development workflows.

Data Pipeline Development

• Design, implement, and optimize ETL/ELT pipelines for large-scale PostgreSQL datasets (11TB+ production, 5TB staging)

• Build scalable ingestion workflows into ClickHouse Cloud using Iceberg tables on AWS S3 and AWS Glue

• Develop processes for anonymizing and preparing healthcare data in staging environments to support development and research without exposing PHI

• Implement robust validation and reconciliation checks to ensure data quality and HIPAA-compliant handling

Data Modeling & Warehousing

• Develop and maintain schemas to support both OLTP (PostgreSQL) and OLAP (ClickHouse/Iceberg) workloads

• Optimize query performance for analytics while minimizing load on production databases

• Extend our data warehouse to enable ad-hoc analysis, BI tool integrations, and healthcare-specific reporting use cases

Data Observability & Performance

• Build tools and dashboards to monitor schema changes, query performance, and pipeline health across PostgreSQL, ClickHouse, and Glue/S3

• Implement alerting, logging, and performance tuning strategies for production and staging environments

• Collaborate with engineers and analysts to proactively identify bottlenecks and scalability improvements

Data Integrations & APIs

• Integrate structured healthcare data flows between EHR systems, RCM platforms, and internal services

• Build APIs or connectors to surface analytical and operational data securely to downstream consumers

• Ensure interoperability across GCP (SQL) and AWS (ClickHouse, Glue, S3) platforms

Infrastructure & Governance

• Manage and evolve our hybrid-cloud data infrastructure (GCP SQL + AWS Glue/ClickHouse)

• Enforce access management, encryption, and anonymization controls aligned with HIPAA and healthcare compliance standards

• Partner with security and compliance teams to implement best practices in sensitive data handling

Collaboration & Knowledge Sharing

• Work closely with analysts, scribe technology developers, and product engineers to capture data requirements

• Document schemas, pipelines, and workflows to ensure maintainability and cross-team understanding

• Mentor team members and advocate for data engineering best practices across the company

What You Have

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or equivalent experience

• Proven experience in data engineering at scale (multi-TB datasets, OLTP + OLAP systems)

• Strong SQL expertise with PostgreSQL and experience tuning queries for high-volume transactional databases

• Hands-on experience with Python, Java, and SQL for data processing and pipeline orchestration

• Familiarity with ClickHouse or other analytical databases, and data lake formats (Iceberg, Parquet, ORC)

• Experience with AWS Glue (ETL, catalog) and S3-based data lakes

• Understanding of cloud-native services in both Google Cloud (Cloud SQL) and AWS

• Knowledge of data anonymization and governance techniques for sensitive healthcare data (HIPAA familiarity a plus)

• Experience with monitoring/observability tools for data infrastructure (e.g., Grafana, dbt metrics, or custom solutions)

• Strong problem-solving and debugging skills; ability to balance technical rigor with business needs

• Effective communicator and collaborator across engineering, analytics, and product teams

Commure + Athelas is committed to creating and fostering a diverse team. We are open to all backgrounds and levels of experience, and believe that great people can always find a place. We are committed to providing reasonable accommodations to all applicants throughout the application process.

Please be aware that all official communication from us will come exclusively from email addresses ending in @getathelas.com, @commure.com or @augmedix.com. Any emails from other domains are not affiliated with our organization.

Employees will act in accordance with the organization’s information security policies, to include but not limited to protecting assets from unauthorized access, disclosure, modification, destruction or interference nor execute particular security processes or activities. Employees will report to the information security office any confirmed or potential events or other risks to the organization. Employees will be required to attest to these requirements upon hire and on an annual basis.