AI Data Engineer

🕒 September 25

🇨🇴 Colombia – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 24%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.Why this score:

• Open for 46 days.
• Jobs at this company usually fill in 22 days.
• No salary listed.

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Katapult Labs

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2022

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

Katapult Labs is a boutique software development and team-augmentation firm that embeds AI-first, bilingual LATAM engineering pods with U. S. startups to build products from MVP to growth stage. They recruit, vet, payroll, and manage dedicated teams (including fractional CTO support) while handling HR and legal obligations, prioritizing speed, quality, and affordable nearshore talent in U. S. time zones.

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

• Remote work • Full-time employment

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