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20 часов назад

Senior Software Engineer, Data Platform (GCP)

Формат работы
remote (только United_states/Canada)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US/Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Senior Software Engineer, Data Platform (GCP): Designing and optimizing core data infrastructure for an AI-powered health platform with an accent on scalable ETL/ELT workflows and Change Data Capture (CDC) pipelines. Focus on building robust streaming and batch data pipelines to ensure high-quality data ingestion and accessibility for clinical and product teams.

Location: Remote (Must be based in the US or Canada)

Company

hirify.global is an AI-driven health platform designed to empower individuals with proactive, data-driven insights into human biology.

What you will do

  • Design, develop, and scale core data infrastructure using GCP, Spark, Databricks, and Fivetran.
  • Build robust and maintainable ETL/ELT workflows for diverse structured and unstructured data needs.
  • Implement and manage Change Data Capture (CDC) pipelines for near real-time data replication.
  • Define and enforce data governance, compliance standards, and metadata management.
  • Manage streaming and batch data pipelines for analytics, product, and compliance use cases.
  • Partner with cross-functional teams to ensure data is accessible, trustworthy, and impactful.

Requirements

  • 5+ years of experience in software engineering with a focus on scalable data architectures.
  • Strong expertise in GCP (IAM, GCS, Pub/Sub) and hands-on experience with Spark and Databricks.
  • Experience with CDC technologies (e.g., Fivetran) and ETL/ELT tools (dbt, Airflow, Dataform).
  • Deep understanding of data governance, compliance, and security best practices.
  • Proficiency in SQL and Python for data processing and automation.
  • Must be based in the US or Canada.

Nice to have

  • Experience with Terraform or Infrastructure-as-Code (IaC) for automation.
  • Background in HIPAA or other regulated environments with a focus on data privacy.
  • Familiarity with the dbt Semantic Layer and modern data modeling.
  • Experience with data observability platforms or machine learning data pipelines.
  • Experience building scalable solutions in a 0-1 startup environment.

Culture & Benefits

  • Competitive salary, equity, and comprehensive benefits package.
  • Flexible, fully-remote working hours.
  • Collaborative and dynamic environment with a mission to impact global health.
  • Culture that values a bias toward action, entrepreneurial spirit, and continuous improvement.

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