Analytics Engineer (AI/Marketing Data)

Location: Remote from Colombia

Company

hirify.global is a fintech platform providing banking, payments, unsecured credit, e-commerce, and marketing services in Colombia.

What you will do

• Own the marketing data platform, including pipelines and integrations with Braze, AppsFlyer, GTM, Marketplace, and the app.
• Map data sources, jobs, tables, and integrations; create documentation and a prioritized improvement roadmap.
• Add tests, monitoring, and alerts to critical pipelines and improve data reliability.
• Build and deploy AI agents or agentic workflows for audience requests, data quality triage, and documentation maintenance.
• Maintain a governed catalog of marketing tables, events, attributes, owners, and approval rules.
• Reduce the runtime or cost of key marketing pipelines by removing duplicated or unused data assets.

Requirements

• Strong SQL skills, including joins at scale, window functions, CTEs, incremental logic, and debugging incorrect results.
• Experience building and operating ELT pipelines with dbt, Airflow or similar tools, Git, code reviews, SQL warehouses, notebooks, and scheduled jobs.
• Ability to automate data work and build reusable scripts and API integrations with Python.
• Experience using coding agents such as Claude Code, Codex, Cursor, or similar for real data work.
• Experience building agentic workflows that combine LLM calls with SQL, APIs, or MCP servers, including guardrails and testing.
• English is required, and the role must be performed remotely from Colombia.

Nice to have

• Experience with Braze, AppsFlyer, GTM, reverse ETL, or CDPs.
• Experience with Spark tuning, advanced data platform tools, LLM APIs, LiteLLM, or MCP servers.
• Knowledge of A/B testing, statistics, data privacy, AWS, fintech, or other regulated industries.

Culture & Benefits

• Work on financial products intended to improve access to shopping, payments, and banking.
• Ownership and influence over technology, strategy, culture, and values.
• Opportunity to work with an international team focused on excellence, ownership, and collaboration.
• Competitive compensation, company equity, and benefits.

Hiring process

• People interview followed by an initial hiring-manager interview.
• Take-home technical challenge, review with data leadership, and stakeholder interview.
• Final co-founder interview followed by an offer discussion.