Staff Data Engineer, EHR Layer

Smarter Technologies is the automation and insight platform for healthcare efficiency. As a leading AI-powered revenue cycle management (RCM) platform, we combine proprietary agentic agents, human-in-the-loop AI agents, clinical ontology, and global financial and administrative services. Our comprehensive platform empowers healthcare organizations to automate the entirety of their administrative and financial workflows—driving operational optimization, reducing costs, and enabling better patient experiences. Role We're looking for a Staff Data Engineer to architect and build our EHR integration layer from the ground up. This is a foundational role where you'll establish the initial dbt project structure, data models, and transformation patterns that will power how we integrate and standardize Electronic Health Record data across diverse healthcare systems. You'll join a dynamic, cross-functional team at the heart of our product strategy, with the unique opportunity to make architectural decisions that will shape our EHR data platform for years to come. This greenfield project gives you the freedom to design scalable, resilient data infrastructure leveraging AWS, Temporal, dbt, Snowflake and Postgres from day one. Your work will establish the foundation for next-generation AI solutions built on clean, standardized healthcare data. What You'll Do Architect the initial dbt project structure and establish modeling patterns for our EHR integration layer. Design and build foundational data models that normalize and standardize data from diverse EHR systems (Epic, Cerner, NextGen, etc.). Establish data quality frameworks, testing strategies, and observability patterns for the EHR integration layer. Create reusable transformation patterns and documentation that enable rapid integration of new EHR data sources. Collaborate with product and engineering teams to define data contracts and specifications for the EHR layer. Build resilient data pipelines that handle the complexities of healthcare data (HL7, FHIR, proprietary formats). What You Bring 5+ years of data engineering development experience with a focus on cloud-based data pipelines and infrastructure. Strong experience architecting greenfield data platforms and establishing foundational patterns. Expertise with dbt, including project architecture, macros, testing strategies, and documentation. Deep expertise in SQL and data modeling (dimensional modeling, normalization strategies). Experience with healthcare data standards (HL7, FHIR, X12) is a strong plus. Expertise in relational and columnar databases (Snowflake, Postgres). Experience with data orchestration tools (Airflow, Dagster, Temporal, etc). Excellent communication and documentation skills - you'll be establishing patterns others will follow. Bachelor's or Master's in Computer Science, Engineering, or a related field, or equivalent experience. Nice To Haves Experience at a scale-up, or rapid growth, technology company Experience working in the healthcare industry involving billing/claims data Experience with Snowflake Experience with Terraform or OpenTofu Experience with monitoring tools (HyperDX)

Our Tech Stack Databases:

Snowflake (primary),

Postgres Cloud Infrastructure:

AWS (S3),

Temporal Languages:

SQL, Python, dbt Required Technical Exercise - submissions without this component will not be considered: Please spend no more than 20 minutes completing a quick coding exercise by following the instructions here . California Salary Range $230,000 - $280,000 USD