Remote AI Data Engineer: Build Pipelines & AI Workflows

Katapult Labs

Colombia

Remote

COP 293,112,000 - 423,384,000

Full time

14 days+
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Job summary

Katapult Labs is seeking an AI Data Engineer to build the data foundation for partner products in a dynamic, early-stage environment. You will design, implement, and own ETL/ELT pipelines, model data in Snowflake, and integrate diverse data sources.

Work closely with product and business leaders to translate questions into scalable, data-driven solutions using AI-assisted workflows. The role emphasizes hands-on coding in Python and SQL, strong Snowflake expertise, and the ability to communicate

Qualifications

  • Hands-on data engineering experience building production pipelines with Python and SQL.
  • Strong Snowflake data modeling, performance, and cost awareness.
  • Experience integrating multiple data sources and orchestrating pipelines.
  • Agentic: building AI agents or LLM-powered workflows.
  • Business and product sense for stakeholder communication.
  • Impeccable English, spoken and written.
  • Comfortable in an early-stage, ambiguous environment.

Responsibilities

  • Design, build, and own ETL/ELT pipelines bringing data from APIs, SaaS tools, CRMs, and databases into Snowflake.
  • Model data in Snowflake for clean, trustworthy analytics-ready datasets.
  • Build and maintain integrations across the stack; choose connectors or custom code.
  • Collaborate with product and business leaders to turn questions into data solutions.
  • Leverage AI tools to speed up work and automate workflows.
  • Own or end-to-end: spot the problem, propose, ship, and improve.

Skills

Hands-on data engineering
Snowflake expertise
Data integration pipelines
AI agents / LLM workflows
Business acumen
Excellent English
Startup environment familiarity

Tools

Airflow
dbt
Fivetran
Airbyte
Snowflake

Job description

Katapult Labs is seeking an AI Data Engineer to build the data foundation for partner products in a dynamic, early-stage environment. You will design, implement, and own ETL/ELT pipelines, model data in Snowflake, and integrate diverse data sources.

Work closely with product and business leaders to translate questions into scalable, data-driven solutions using AI-assisted workflows. The role emphasizes hands-on coding in Python and SQL, strong Snowflake expertise, and the ability to communicate

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