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2 дня назад

Data Engineer (Pipelines ETL BigQuery Python)

Формат работы
remote (Global)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK, US, Brazil
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR

Data Engineer (Pipelines ETL BigQuery Python): Build and maintain robust data pipelines and ETL/ELT processes using BigQuery, Python, and dbt with an accent on cloud-native data infrastructure and scalable data modeling. Focus on designing modular data models, integrating diverse data sources, and ensuring data quality and observability in a fast-paced AI-driven environment.

Location: Remote (US, United Kingdom, Brazil) with hybrid options in San Francisco or London

Company

hirify.global builds an AI Native Command Center platform that centralizes data to power AI-driven business decision making, backed by a $10M+ seed round and trusted by major partners.

What you will do

  • Design, build, and maintain data pipelines for structured and semi-structured data ingestion and transformation
  • Own and scale ETL/ELT processes using dbt, BigQuery, and Python
  • Build modular data models powering analytics, product features, and LLM agents
  • Integrate external and internal data sources to create unified datasets
  • Collaborate with AI, product, and engineering teams to define data contracts and optimize pipelines
  • Monitor pipeline performance and ensure data quality and integrity

Requirements

  • Location: Remote candidates from US, UK, Brazil or hybrid in San Francisco or London
  • 5+ years experience in data engineering with ETL/ELT and large-scale data systems
  • Strong skills in SQL, BigQuery, dbt, Python, and cloud-native environments (GCP, AWS)
  • Experience with orchestration tools like Airflow, Dagster, or Prefect
  • Excellent collaboration and communication skills in fast-paced settings

Nice to have

  • Experience with AI/ML data systems, LLMs, or agent-based tools
  • Built or scaled internal data platforms or customer data products
  • Exposure to event-driven architectures or real-time data ingestion
  • Startup or early-stage company experience

Culture & Benefits

  • Work in a small, high-performance team focused on AI-native business tools
  • Autonomy and ownership from day one with fast feedback loops
  • Competitive salary with metrics-based bonus and equity
  • Unlimited holiday policy

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