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As a Lead Data Engineer at Turno, you’ll lead the architecture, build, and management of our critical data infrastructure, enabling teams to leverage data effectively to accelerate growth and efficiency. Join Turno to drive impactful insights and robust data foundations in a collaborative startup environment. If you enjoy solving complex data challenges and empowering teams through data excellence, we’d love to hear from you.

Strong English communication skills are required for this position.

Responsibilities

• Design, build, and monitor SQL + Python pipelines in BigQuery (GCP).
• Model clean, tested tables in DBT and publish a living data dictionary.
• Maintain Segment & Mixpanel schemas; keep warehouse tables and event streams in sync.
• Develop Looker explores and dashboards that enable true self-serve data access.
• Prepare datasets for LLM/RAG use cases (embeddings, vector stores, prompt-side joins).
• Work directly with Product, Growth, and Ops to scope data needs and set SLAs.
• Mentor engineers and analysts on data modeling, testing, and cost control.

Qualifications

• 5+ years building cloud data pipelines (BigQuery or similar).
• Expert-level SQL; solid Python for ETL, automation, and APIs.
• Deep DBT experience (tests, exposures, CI/CD).
• Hands-on Looker (LookML, access controls, user training).
• Proven record partnering with non-technical stakeholders.
• Excellent communication and collaboration abilities, comfortable interfacing directly with stakeholders.

Nice to Have

• Experience in marketplace or fintech environments.
• Familiarity with additional data stack tools (Airflow, Fivetran, or similar).
• Exposure to AI/ML tools and frameworks (e.g., scikit-learn, PyTorch, TensorFlow) for data preparation or model support.

About Turno

Turno connects short-term rental hosts with cleaners, automating the turnover workflow. As an Airbnb software partner, we support tens of thousands of hosts worldwide through advanced data-driven solutions.

LATAM Operations

This is a full-time contract role based in Brazil (fully remote) or Argentina (hybrid from our Buenos Aires office). We communicate primarily in English, so strong written and verbal skills are required. Work hours are flexible but require consistent availability from 10 AM–3 PM local time. The position offers up to 15 days of annual PTO plus paid local public holidays, subject to company discretion.