Senior Data Engineer

November 1

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Logo of Chamber

Chamber

cardiology β€’ value-based care β€’ cardiology practices

2 - 10

Description

β€’ Chamber is an early-stage health tech startup transforming cardiovascular health through value-based care. β€’ Seeking a Senior Data Engineer to establish scalable data architecture and manage data lifecycle. β€’ Build data architecture, develop ETL pipelines, and ensure reliable data processing for analytics. β€’ Collaborate with teams to define data requirements, support healthcare ontologies, and coding systems. β€’ Lead data engineering efforts to drive improvements in cardiovascular health.

Requirements

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

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