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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