Senior Data Engineer, SmarterDx

• 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

Desirable

• 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
• 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