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3 часа назад

Staff Data Engineer (Snowflake)

180 000 - 200 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Staff Data Engineer (Snowflake): Building and operating a secure, reliable Snowflake-centered data platform and data pipelines for analytics, AI/ML workloads, and data-powered healthcare products with an accent on security, governance, reliability, and production operations. Focus on designing RBAC and secure data access, establishing data contracts and lineage, and delivering maintainable data interfaces to applications, APIs, and ML systems.

Location: Fully remote; hiring is limited to AZ, CO, FL, GA, ID, IL, KS, MA, MI, MN, MO, NH, NY, NC, OH, OR, PA, SC, TN, TX, UT, VA, WA, and WI.

Salary: $180,000–$200,000 per year.

Company

hirify.global is a healthcare software company building technology solutions for healthcare providers that help patients recover faster and reduce the cost of care.

What you will do

  • Own the target-state architecture and technical roadmap for a Snowflake-centered data platform.
  • Build and operate reliable Python and SQL data pipelines, integrations, ingestion, incremental processing, schema evolution, recovery, and observability.
  • Design Snowflake security and RBAC, including least-privilege access, auditability, secure sharing, retention, monitoring, and access for external users and AI workloads.
  • Establish production engineering practices covering testing, version control, code review, CI/CD, secrets management, deployment, rollback, monitoring, and incident response.
  • Own data governance, contracts, schemas, technical lineage, quality expectations, migrations, deprecations, and downstream-impact communication.
  • Lead cross-functional initiatives with Analytics Engineering, DevOps, Data Science, Security, Product Engineering, ML, and Integrations while influencing without direct authority.

Requirements

  • Deep experience designing and operating cloud data platforms in regulated environments, including ingestion, orchestration, warehouse architecture, security, reliability, and production operations.
  • Strong Snowflake expertise covering RBAC, secure access and sharing, warehouse and resource management, query and cost optimization, metadata, monitoring, and environment design.
  • Strong Python and SQL engineering skills with experience in modular design, testing, version control, packaging, code review, CI/CD, and maintainable interfaces.
  • Experience operating production data systems and delivering data to applications, APIs, ML systems, reverse-ETL workflows, or other operational consumers.
  • Experience with data contracts, ownership, quality, compatibility, schema evolution, deprecation, and breaking-change communication.
  • Technical or quantitative degree, or equivalent professional experience, plus strong cross-functional technical communication and leadership skills.

Nice to have

  • Advanced Snowflake security experience for employees, external customers or partners, and AI or service workloads.
  • Experience building warehouse-to-product or reverse-data flows and customer-facing data products.
  • Experience enabling ML/AI workloads with Snowpark, Model Registry, ML Jobs, compute pools, containerized workloads, or comparable managed capabilities.
  • Exposure to Openflow, dbt, Terraform, data catalogs, observability platforms, or healthcare interoperability and EHR/EMR ecosystems.

Culture & Benefits

  • Mission-driven work supporting healthcare providers, clinicians, and millions of patients.
  • Multidisciplinary, data-oriented collaboration across engineering, security, product, ML, and integrations.
  • Values centered on excellence, fortitude, service, ownership, humility, and continuous improvement.
  • Fully remote work within the listed hiring states.

Hiring process

  • Apply through the official hirify.global careers channel.
  • The Talent Acquisition team follows up with applicants.

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