AI Data Engineer

Katapult Labs; Colombia; Remote; COP 293,112,000 - 423,384,000; Full time

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

AI Data Engineer

Katapult Labs · Remote (LATAM) · Full-time

About Katapult

Katapult is an AI-first engineering studio connecting senior LATAM talent with startups and companies in the US. We're not a staff-augmentation shop: every person we put in front of a client represents Katapult, co-creates product, and owns the outcome directly, with no managers or leads acting as a layer in between.

The Opportunity

We're looking for a Data Engineer who builds, not just maintains. You'll work with one of our US startup partners to create the data foundation behind their product and business decisions. That means bringing scattered sources into one trusted place, keeping the data flowing reliably, and turning it into insights the team can act on.

This isn't a back-office pipelines role. You'll work side by side with product and business leaders. You'll need to understand what the company is trying to achieve and why each dataset matters. Then you'll use that context to decide what to build next.

What You'll Do

• Design, build, and own ETL/ELT pipelines that bring data from multiple sources (APIs, SaaS tools, CRMs, transactional databases) into Snowflake.

• Model data in Snowflake so it's clean, trustworthy, and easy to use for analytics and product.

• Build and maintain integrations across the stack. You'll decide when to use off-the-shelf connectors and when to write custom code.

• Work directly with product and business leaders to turn vague questions into concrete data solutions.

• Use AI tools and agents to speed up your own work and to automate manual workflows for the team.

• Take ownership end to end: spot the problem, propose the solution, ship it, and keep improving it.

What We’re Looking For

• Hands-on data engineering experience. You've built production pipelines yourself, in real code (Python and SQL), not only through dashboards or notebooks.

• Strong Snowflake experience, including data modeling, performance, and cost awareness.

• Experience integrating multiple data sources and orchestrating pipelines (Airflow, dbt, Fivetran/Airbyte, or similar).

• Agentic . Experience building AI agents or LLM-powered workflows on top of company data.

• Business and product sense. You can talk with non-technical stakeholders, understand the business model, and prioritize by impact.

• Impeccable English, spoken and written. You'll work directly with a US team daily.

• Comfortable in an early-stage, ambiguous environment where you're a builder, not a ticket-taker.

Nice to Have

• Background in startups or a founder/co-founder experience.

• Familiarity with CI/CD, testing, and version control practices for data (Git, dbt tests, data quality checks).

• Cloud experience (AWS, GCP, or Azure).