Location: Remote (LATAM)

Engagement: Half-time to start, moving to full-time.

Rate: Half-time $1,250 - $1,750/month - Full-time $2,500 - $3,500/month.

Benefits: PTO and Holiday Calendar once the role converts to full-time

Company: One of Our Amazing Partners

ABOUT THE COMPANY

This role is with One of Our Amazing Partners, a team building a live client facing marketing and SEO reporting stack that real clients rely on every day. Engineering, marketing data, workflow automation, and applied AI all sit in one place, so the person in this seat sees a decision go from raw query to something a client acts on.

WHAT WE'RE LOOKING FOR

This seat starts half-time and converts to full-time as the work grows, so the rate above moves with it. An engineer who can own features across a client facing marketing and SEO reporting stack end to end, from the SQL query and data pipeline through the React dashboard and AI generated insights. You should be comfortable moving between frontend development, serverless backend work, marketing data, workflow automation, and production LLM integrations. Just as importantly, you should be able to take an ambiguous business question, determine the correct technical approach, and turn it into something accurate, reliable, and understandable to a non technical stakeholder.

IN THIS ROLE, YOU WILL

• Build and maintain features across Next.js/Vite and Netlify Functions client dashboards, including new drilldowns, filters, chat interfaces, and AI generated insight modules for internal account leads and end clients.
• Design and debug data pipelines across Azure SQL queries, marketing data tables and extraction pipelines, GA4, Google Search Console, and Shopify feeds.
• Design export and data patterns that keep dashboard calculations and downstream aggregators in sync by construction, rather than relying on manual reconciliation.
• Extend internal workflow automation using n8n plus Node.js and Azure, including new client onboarding, synchronization workflows, and Slack and Drive integrations.
• Keep workflow automation intentionally simple while maintaining strict per client data isolation and privacy boundaries.
• Design and tune Claude and Anthropic prompt pipelines, including model selection, structured outputs, prompt caching, streaming, and guardrails against hallucinated or tone deaf claims.
• Own security hygiene for anything you touch, including appropriate environment, secrets, and data access practices.
• Decide how data should be presented and explain the reasoning behind those decisions to non technical stakeholders.
• Troubleshoot production issues systematically, verify your assumptions, reproduce the actual root cause, and only then ship the appropriate fix.
• Work across multiple projects while maintaining accuracy, reliability, and clear ownership of your work.

YOU'LL SUCCEED IF YOU HAVE

• Strong React and Node.js skills, with comfort owning both the frontend and serverless backend of a feature.
• Strong SQL fluency, including the ability to write, debug, and reason about query performance.
• Experience working with marketing data warehouse tables and general extract, load, and transform concepts.
• Hands on experience integrating an LLM API such as Anthropic or OpenAI into a production product, including prompt design and structured outputs.
• Practical understanding of LLM cost and latency tradeoffs, along with the judgment required to make AI generated outputs reliable enough for real users.
• Working knowledge of modern deployment platforms such as Netlify, Vercel, or Azure, including environment and secrets management.
• A track record of building reports, dashboards, or analyses that both technical and non technical stakeholders trusted and understood.
• The ability to translate ambiguous business questions into specific, correct, and presentable analyses without heavy hand holding.
• Comfort working across multiple projects at the same time.

NICE TO HAVE

• Direct experience with Azure SQL and Azure based application infrastructure.
• Experience building or maintaining workflows in n8n.
• Familiarity with GA4, Google Search Console, Shopify, and other marketing data sources.
• Experience building client facing AI generated reporting or conversational analytics interfaces.
• Experience working in multi client environments where data isolation, privacy, and reporting accuracy are critical.

WHY JOIN THIS TEAM

This is an opportunity to own meaningful pieces of a live reporting and automation stack rather than being limited to one layer of the system. You will work across software engineering, marketing data, workflow automation, and applied AI, with real responsibility for both the technical implementation and whether the final output is accurate, useful, secure, and understandable.

ABOUT TALENT SCOUT

Talent Scout connects top creative, marketing, and operations professionals across Latin America with leading U.S. brands and agencies. We specialize in long-term, full-time placements, meaning that when you join through Talent Scout, you're not stepping into a freelance or temporary role — you're becoming a valued member of a client's team, with support every step of the way.

To learn more about working with Talent Scout, please visit our Careers Page and follow us on LinkedIn and Instagram.