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