Senior Data Engineer

## About the role We're looking for a Senior Data Engineer to join our team and take a leading role on client engagements. In this role, you'll be a primary technical voice in client meetings — understanding their data ecosystems, driving conversations, and owning the delivery of scalable solutions to unify, analyze, and leverage data from multiple sources, including marketing platforms, email service providers (ESPs), and analytics tools. You'll be responsible for tasks such as identity resolution, data pipeline creation, and ensuring seamless communication between disparate systems, while operating at a high level across multiple concurrent client engagements. As a senior member of a small but growing team, you'll have the opportunity to make a significant impact by designing and implementing efficient data workflows, optimizing data storage and retrieval processes, mentoring teammates, and supporting data-driven decision-making across a diverse client portfolio. We're an AI-augmented team. You'll work alongside tools like Gemini to accelerate development, automate boilerplate, and ship faster — fluency with LLM-assisted workflows is a genuine advantage here. This is a fully remote position based in Mexico, offering flexibility and the chance to collaborate with a global team. While remote work is core to our culture, we also have offices in San Francisco, New York City, Charleston, Madrid, and Mexico City. ## About Scalero Scalero is a Lifecycle Marketing agency with five years of experience working with dozens of global leaders in tech, e-commerce, and services, including Notion, Figma, and Carnival Cruise Lines. As a startup, we offer opportunities to wear many hats, tackle diverse challenges, and grow into the role you envision for yourself. We take pride in showing up every day for our team, aiming higher, and fostering a culture where every voice is heard and valued. ## Responsibilities - Lead client conversations as the senior technical point of contact — running meetings, taking ownership of data discussions, and translating business goals into technical roadmaps. - Operate across multiple client engagements simultaneously, context-switching effectively without losing depth or quality. - Gather requirements directly from clients and architect end-to-end data solutions tailored to their ecosystems. - Design, build, and maintain robust ETL/ELT and reverse ETL (rETL) pipelines to integrate and process data from multiple platforms. - Implement solutions for identity resolution to consolidate user data across channels. - Set up automated data pipelines for marketing and communication workflows. - Design and optimize data models for reporting and analytics purposes. - Own reporting infrastructure and deliverables across clients, ensuring accuracy, consistency, and actionable insight. - Use Claude Code and Cursor to accelerate development, generate boilerplate, and debug complex pipeline logic. - Leverage LLMs to explore, clean, and document datasets — turning hours