
11 - 50 employees
Founded 2020
đŚ Logistics
đź Consulting
đ Manufacturing
Logistics ⢠Consulting ⢠Manufacturing
Clarium is an AI-powered supply chain platform designed specifically for the healthcare industry. It offers end-to-end visibility and intelligent automation to enhance efficiency for hospitals and their suppliers. With features such as real-time monitoring of inventory levels, automated substitute management, and data-enabled workflow applications, Clarium revolutionizes supply chain management in healthcare, enabling providers to save time and improve patient care.
đ September 28
đşđ¸ United States â Remote
đľ $170k - $210k / year
â° Full Time
đ´ Lead
đ° Data Engineer
đŚ H1B Visa Sponsor
đť Ghost score 5%
Where this job comes from
Posted on Clarium's careers page â, not through a job board
First seen by Remote Rocketship September 28
Still open on Clarium's site. Checked 58 minutes ago.

11 - 50 employees
Founded 2020
đŚ Logistics
đź Consulting
đ Manufacturing
Logistics ⢠Consulting ⢠Manufacturing
Clarium is an AI-powered supply chain platform designed specifically for the healthcare industry. It offers end-to-end visibility and intelligent automation to enhance efficiency for hospitals and their suppliers. With features such as real-time monitoring of inventory levels, automated substitute management, and data-enabled workflow applications, Clarium revolutionizes supply chain management in healthcare, enabling providers to save time and improve patient care.
⢠Own the architecture and technical roadmap for core data infrastructure on AWS across ingestion, transformation, storage, and serving layers ⢠Design, build, and operate reliable batch and near-real-time pipelines with clear SLAs and observability ⢠Model supply chain data from external ERP systems into a coherent, reusable warehouse model ⢠Lead migration of legacy data assets toward the warehouse model ⢠Tune performance and cost across Postgres and Snowflake, including query plans, indexing, partitioning, warehouse sizing, and storage strategy ⢠Establish engineering standards for data work, including testing, code review, CI/CD, data quality checks, and documentation ⢠Mentor engineers through design reviews, pairing, and technical feedback ⢠Partner with analytics, product, and engineering teams to turn ambiguous questions into durable data models ⢠Lead governance for sensitive data, including lineage, access controls, retention, auditability, and de-identification
⢠8+ years of data or software engineering experience, including significant time owning systems end to end in production ⢠Expert-level SQL, including complex analytical queries and query-plan analysis ⢠Strong Python for production data work, pipeline code, transformation logic, testing, and tooling ⢠Deep experience with relational databases, including schema design, normalization tradeoffs, transactions, and performance tuning ⢠Hands-on experience with data pipeline and orchestration tooling such as Airflow, Dagster, Prefect, dbt, Fivetran, Spark, or Kafka ⢠Production experience running data workloads on AWS, such as S3, RDS, Lambda, or ECS ⢠Understanding of cost, security, and networking implications of AWS data workloads ⢠Track record of leading multi-quarter, cross-team initiatives ⢠Experience with healthcare data, HIPAA, PHI, de-identification, and audit requirements (nice to have) ⢠Familiarity with supply chain data from ERP systems such as Oracle, Workday, or Lawson (nice to have) ⢠Infrastructure-as-code and deployment automation experience (nice to have) ⢠Streaming, event-driven architectures, or data quality and observability tooling experience (nice to have) ⢠Must be authorized to work in the United States without employer sponsorship
⢠Incentive Stock Options proportionate to your salary ⢠Fully remote, with a NYC co-working space available; distributed team across multiple time zones with opportunities for in-person time ⢠Unlimited PTO ⢠Top-tier health, vision, and dental benefits ⢠401K ⢠Opportunity to work with a strong foundational team ⢠Fast-paced, high-growth environment ⢠Opportunity to empower frontline healthcare workers ⢠Collaborative work alongside clinicians, engineers, and revenue leaders
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