November 1
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.
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.
Apply NowNovember 1
51 - 200
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