Senior Data Engineer

2 days ago

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Chamber

cardiology • value-based care • cardiology practices

Description

• Design and implement a scalable data architecture to support the platform's data needs and internal analytics. • Build, monitor, and optimize ETL pipelines to ensure timely and accurate data processing. • Oversee interoperability for integrating healthcare data systems, including ontologies and coding standards. • Develop data workflows to support internal analytics and external reporting features. • Ensure data quality, consistency, and compliance with healthcare standards, including HIPAA and SOC2. • Partner with R&D, customers, and strategic partners to define data requirements, design analytics capabilities, and support reporting. • Implement and manage cloud-based data solutions to ensure optimal performance and scalability. • Integrate BI tools, providing stakeholders with reliable and accessible data insights.

Requirements

• Proven experience developing scalable data architectures within a startup environment. • Proficiency in Git for version control and collaboration. • Expertise in cloud services (preferably AWS) for data storage, processing, and security (S3, Redshift, RDS, Athena). • Strong skills in building and managing ETL pipelines with modern tools (e.g., dlt, dbt) and orchestration frameworks (Airflow, Temporal, Spark, Kafka). • Ability to work in agile, fast-paced environments with autonomy and accountability. • Remote work experience with strong collaboration skills. • Experience designing data architectures supporting cataloging, lineage, and governance. • Knowledge of containerized application deployment. • Expertise with BI tools (e.g., Tableau, Looker) to enable real-time or scheduled BI reporting. • Familiarity with healthcare terminology and standards (e.g., RxNorm, ICD10, SNOMED, LOINC, CPT). • Experience with AI, Large Language Models (LLM), or NLP in healthcare data applications. • Infrastructure-as-code expertise with tools like Terraform or Pulumi.

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