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3 дня назад

Sr. Data Infrastructure Engineer (Healthcare AI)

122 425 - 183 638$
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

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TL;DR

Sr. Data Infrastructure Engineer (Healthcare AI): Designs, builds, and scales reliable data platforms powering online transaction processing, analytics, machine learning, and business intelligence with an accent on cloud-native AWS infrastructure. Focus on architecting robust data systems, optimizing performance and cost, ensuring high availability, security, and self-service data access for teams.

Location: Remote in the US; applicants must already be legally authorized to work in the U.S. (no visa sponsorship or immigration support)

Salary: $122,425 - $183,638

Company

AI-first healthcare technology platform preventing inaccurate payments and reducing waste in the healthcare ecosystem.

What you will do

  • Design, build, and maintain scalable data infrastructure on AWS using Aurora PostgreSQL, RDS, S3, and Snowflake.
  • Implement core data systems for ingestion, transformation, storage, and orchestration.
  • Ensure reliability, performance, availability, and cost efficiency of data platforms.
  • Apply best practices in data modeling, observability, IaC, and CI/CD automation.
  • Support distributed data systems like PostgreSQL/Aurora, Snowflake, Kafka, and caching.
  • Partner with data, engineering, analytics, and AI teams for efficient data access; mentor juniors and participate in on-call.

Requirements

  • Minimum 5 years in cloud-based data infrastructure, database engineering, or related roles
  • Minimum 5 years hands-on with AWS data services (Aurora, RDS, S3, IAM, Lambda, Glue, Athena)
  • Strong experience with PostgreSQL/Aurora and Snowflake or similar.
  • Proficiency in SQL and scripting/programming (Python, Shell).
  • Hands-on with Terraform and GitLab for CI/CD pipelines.
  • Experience optimizing database performance and high-throughput systems.

Nice to have

  • Real-time/streaming data (Kafka, Databricks).
  • Data governance, lineage, compliance (HIPAA, SOC2).
  • Analytics orchestration (Airflow, dbt).
  • Database migrations from Oracle to modern stores.
  • OpenSearch, Cassandra, GCP, or Azure.

Culture & Benefits

  • Collaborative environment with dedicated teams and top technology.
  • HI-TRUST and SOC2 certified; recognized as 2025 Best in KLAS.
  • Full-time US base salary plus total rewards compensation.
  • Equal opportunity employer focused on inclusion and collaborative success.

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