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Senior Full-Stack Engineer
Colombia

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Senior Full Stack Engineer

Job Family/Job Family Group: Engineering / Technology

Job Level: Senior

About the Role

As a Senior Full Stack Engineer, you'll lead the design, architecture, and implementation of high-throughput data integration pipelines that connect critical internal systems and external partner data sources to our core platform. Operating across modern backend ecosystems and data platforms, you will be responsible for defining technical patterns, standards, and scalable ingestion workflows that enable repeatable, resilient integrations across an expanding ecosystem of tools and applications.

We are looking for someone who is proactive, self-organized, and resilient—a technical leader who excels at translating complex functional requirements into clear, manageable solutions while mentoring cross-functional peers and upholding rigorous technical documentation standards.

Responsibilities:

• Architect and implement robust, production-grade Python extraction tools that interface with partner APIs, expertly managing authentication, pagination, error handling, rate limits, and data reliability at scale.

• Design and manage end-to-end ingestion pipelines to write extracted data directly into the cloud data warehouse in alignment with established architectural patterns.

• Define data models adhering to platform standards, ensuring processed data is structured for accessibility, integrity, and consistent consumption across client-facing interfaces and reporting layers.

• Implement and maintain SQL transformation logic using dbt to bridge the gap between raw source data structures and the presentation layer, adhering to industry best practices and convention.

• Standardize and document integration workflows, producing comprehensive guides and technical blueprints to make integration repeatable across multiple partner applications.

• Lead technical design discussions, breaking down ambiguous, large-scale problems into actionable milestones and actionable technical sub-tasks.

• Collaborate with cross-functional engineering, product, and data stakeholders to ensure unified data governance, reliability, and security compliance.

• Optimize and monitor platform pipeline performance, driving root-cause analysis for edge-case integration failures and continuously refining error-recovery protocols.

About You

The essentials:

• 10+ years of professional software engineering experience across the full development lifecycle.

• Expert Python proficiency, with demonstrated history in building production-grade API clients, custom data pipelines, and scalable backend services.

• Advanced data warehousing experience, including schema design, modeling, and loading into platforms such as Snowflake, Redshift, or Google BigQuery.

• Deep proficiency with dbt and SQL, including building modular, testable transformation workflows and maintaining clean data lineage.

• Proven track record consuming and integrating complex third-party and internal RESTful APIs, with expertise in resilient error handling and distributed systems.

• Demonstrated leadership in a senior individual contributor or tech lead capacity, driving data integration workstreams and defining architectural standards.

• Excellent problem-solving and documentation skills, with the ability to clearly structure discussions, gather stakeholder requirements, and maintain detailed engineering specs.

• Fluent professional English (written and verbal), required for everyday collaboration across distributed, international teams.

Not a Must but a Plus:

• Hands-on experience with modern data orchestration tools, such as Apache Airflow, Prefect, or Dagster.

• Experience across modern frontend web frameworks (e.g., React, TypeScript, Vue) alongside core backend and data capabilities.

• Background in partner API ecosystem scaling or developing reusable SDKs/connector libraries.

At Monks, we believe in fostering an environment where a diversity of perspectives can thrive. We proactively work to design hiring processes that promote equity and inclusion while mitigating bias. We celebrate diversity and are committed to building a team that reflects the communities we serve. We welcome and encourage qualified applicants from all backgrounds who are excited to contribute to our mission.

About Monks

Monks is the global, digital-first, data-driven, unitary operating brand of S4Capital plc, where our culture centers on how we show up for the work and for one another. That begins with the commitment to strive for mastery—taking deep pride in our craft and creating work that sets the bar. In everyday execution, we drive momentum by choosing bold action rather than waiting for certainty. Above all, our teams are stronger together, bringing diverse perspectives into a unified team that communicates with clarity, trust, and mutual respect.
 
This commitment to craft and innovation translates directly into widespread industry acclaim: Monks was named a Contender in The Forrester Wave™: Global Marketing Services and a leader in the 2026 Gartner® Magic Quadrant™ for Global Digital Marketing Agencies. It ranks among Cannes Lions' Top 10 Creative Companies (2022-25) and remains the only partner featured in AdExchanger’s Programmatic Power Players list every year (2020-24). Named Adweek’s first AI Agency of the Year (2023) and The One Show’s inaugural AI Pioneer Organization (2025), Monks was also awarded Business Intelligence Group’s 2026 Excellence in Artificial Intelligence Award in the Human-Machine Interaction Team category. Additionally, Monks.Flow earned AI-based Marketing Solution of the Year at the 2026 AI Breakthrough Awards and a 2026 Global Generative AI Award in the Agentic Marketing Innovation category. Finally, Monks achieved a record-breaking number of FWAs and continues to hold the most of any partner.

We are an equal-opportunity employer committed to building a respectful and empowering work environment for all people to freely express themselves amongst colleagues who embrace diversity in all respects. Including fresh voices and unique points of view in all aspects of our business not only creates an environment where we can all grow and thrive but also increases our potential to produce work that better represents—and resonates with—the world around us. 

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How would you rate your hands-on proficiency in building production-grade Python extraction tools and integrating them with cloud data warehouses (e.g., Snowflake, BigQuery, Redshift)?*

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The website has been translated to English with the help of Humans and AI

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