United States onlyRole
We are looking for a Senior Data Engineer to advance our clinical AI by building scalable pipelines and infrastructure for data ingestion, processing, and analysis. You'll integrate and standardize diverse healthcare data (clinical, coding, billing) and design resilient, fault-tolerant frameworks and data models leveraging AWS (S3, Lambda, Step Functions, Batch).
You'll join a dynamic, cross-functional team at the heart of our product strategy, significantly impacting our speed and reliability. Responsibilities include creating and maintaining data pipelines, optimizing existing infrastructure and data models (dbt), and supporting expansion to new products and data sources. This role spans the full data lifecycle, shaping the foundation for next-generation clinical AI solutions.
SmarterDx builds clinical AI that empowers hospitals to analyze the complete record of every patient to fully capture the value of care delivered. Founded by physicians in 2020, its proprietary AI platform understands the nuances of clinical reasoning, enabling hospitals to true the patient record for every discharge. By doing so, hospitals can recover millions in earned revenue, enhance care quality metrics, and optimize healthcare operations. Become a Smartian and help optimize the way the healthcare system works for everyone. Learn more at smarterdx.com/careers.
**This role is fully remote within the US**
What You’ll Do
- Design, develop, and maintain dbt data models that support our healthcare analytics products.
- Integrate and transform customer data to conform to our data specifications and pipelines.
- Design and execute initiatives that improve data platform and pipeline automation and resilience.
- Participate in a rotation of engineers that diagnose, triage, and solve production data issues.
- Apply industry standards and best practices to data testing, observability, and platform stability.
What You Bring
- 5+ years of data engineering development experience with a focus on cloud-based data pipelines and infrastructure.
- Expertise with data modeling in SQL, using tools such as dbt, Informatica, Apache Spark
- Expertise in relational and columnar databases.
- Experience implementing GitHub CI/CD.
- Experience implementing scalable, event-driven architectures using AWS managed services.
- Experience with data orchestration (Airflow, Dagster, etc).
- Excellent communication and team collaboration skills.
- 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 clinical and/or billing/claims data
- Experience with Snowflake
- Experience with Terraform, OpenTofu, or AWS CDK
- Experience with Fivetran
- Experience with monitoring tools (Sentry.io, Datadog)
Our Tech Stack
- Databases: Snowflake (primary), Postgres
- Cloud Infrastructure: AWS (CDK, S3, MWAA, EventBridge, Batch, Lambda, Step Functions), Fivetran
- Languages: SQL, Python, Typescript, dbt
Compensation
170-200k base + Equity Incentives
Benefits
- Medical, Dental Vision – Comprehensive plans with leading insurance providers, covering 90-100% of your premiums and 70-90% for dependents, depending on the plan.
- One Medical Membership – Free membership included if you enroll in a SmarterDx medical plan.
- Paid Parental Leave – Up to 12 weeks of paid leave for birth or adoption.
- Remote-First Team – Work from anywhere in the U.S. with a $400 home office reimbursement stipend.
- Unlimited PTO 10 Holidays – 4 of which include floating holidays so you can recognize the days that matter most to you.
- Learning Development Budget – $500 per year (prorated) for courses, books, and resources to expand your skills.
- 401(k) with Traditional Roth Options – Tax-advantaged retirement savings through Empower.
- Minimal Bureaucracy – A fast-moving, high-impact environment where you can focus on what matters.
- Incredible Teammates! – Work alongside smart, supportive, and mission-driven colleagues.
