AI Data Engineer

. Design, build, and own ETL/ELT pipelines bringing data from APIs, SaaS tools, CRMs, and transactional databases into Snowflake .

Posted 9/25/2026full-timeRemote • ColombiaMid-LevelSeniorWebsite

Tools & technologies

AirflowAWSAzureCloudETLGoogle Cloud PlatformPythonSQL

Key responsibilities & impact

Design, build, and own ETL/ELT pipelines bringing data from APIs, SaaS tools, CRMs, and transactional databases into Snowflake
Model Snowflake data to make it clean, trustworthy, and usable for analytics and product
Build and maintain integrations across the stack, selecting off-the-shelf connectors or custom code as appropriate
Work directly with product and business leaders to turn vague questions into concrete data solutions
Use AI tools and agents to accelerate work and automate manual team workflows
Own work end to end: identify problems, propose solutions, ship them, and continuously improve them
Create the data foundation behind a US startup partner's product and business decisions

What you’ll need

Hands-on data engineering experience building production pipelines in Python and SQL
Strong Snowflake experience, including data modeling, performance, and cost awareness
Experience integrating multiple data sources and orchestrating pipelines using Airflow, dbt, Fivetran, Airbyte, or similar
Experience building AI agents or LLM-powered workflows on top of company data
Business and product sense, including ability to communicate with non-technical stakeholders and prioritize by impact
Impeccable spoken and written English
Comfortable working in an early-stage, ambiguous environment
Startup or founder/co-founder experience preferred
Familiarity with CI/CD, testing, and data version control practices, including Git, dbt tests, and data quality checks preferred
Cloud experience with AWS, GCP, or Azure preferred

Comp & perks