Senior Data Engineer – Advertising

This is a fully remote position, open to applicants in Brazil.

📋 Description

• Design, develop, and scale data pipelines and infrastructure for data ingestion, transformation, storage, and serving.

• Collaborate with Machine Learning Engineering teams to facilitate model training, evaluation, and deployment.

• Enhance team processes, tools, and operational methods.

• Contribute to thought leadership, internal knowledge sharing, and community engagement initiatives.

• Convert business requirements into product-focused data solutions that provide measurable business impact.

• Integrate marketing data sources such as GA4, advertising platforms, CRMs, and CDPs into reliable, well-structured datasets.

• Establish standards for data engineering, documentation, and monitoring practices to ensure data quality and reliability.

• Leverage AI-powered coding, agentic engineering, and AI-enabled workflows to expedite delivery.

• Lead technical workstreams and provide mentorship to fellow engineers.

• Collaborate with cross-functional stakeholders to address complex data challenges.

⛳️ Requirements

• Over 5 years of experience in data engineering, specifically in constructing data pipelines and infrastructure from the ground up.

• Extensive knowledge of cloud data platforms.

• Proficient in Python and SQL for data processing and ETL tasks.

• Experience in building and deploying data workloads on AWS, GCP, or Azure.

• Strong product orientation with the ability to deliver quantifiable business value.

• Practical experience with AI-powered coding, agentic engineering, and AI-enhanced workflows.

• Experience in mentoring team members and establishing engineering standards.

• Familiarity with marketing data ecosystems, such as GA4, advertising platforms, CRMs, and CDPs.

• Solid foundation in software engineering principles: version control, testing, code reviews, and CI/CD.

• Excellent communication skills.

• Proven experience working on complex, ambiguous projects from inception to completion.

• Advanced English proficiency (B2 or higher).

• Experience with data governance, privacy compliance, and security best practices (preferred).

• Familiarity with integrating AI/ML capabilities into data pipelines and exposure to GenAI applications (preferred).

• Knowledge of MLOps tooling, vector databases, or RAG patterns (preferred).

• Experience working across various verticals or client types (preferred).

• A history of advocating for and implementing process enhancements (preferred).

🏝️ Benefits

• 100% Remote Work.

• Highly Competitive USD Salary.

• Paid Time Off.

• Work Autonomously.

• Collaborate with Leading American Companies.

• Engagement Activities.

• Promotion of Work-Life Balance.

• Access to a Diverse, Global Network.

• Collaboration with a Multicultural Team.

• Opportunity to Work with Experienced, Senior Professionals.