Senior Data Engineer – Advertising

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

📋 Description

• Design, construct, and expand data pipelines and infrastructure for data ingestion, transformation, storage, and serving.

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

• Enhance team processes, tools, and methodologies.

• Contribute to thought leadership, promote internal knowledge sharing, and support community of practice initiatives.

• Convert business requirements into product-oriented data solutions that generate measurable business impact.

• Seamlessly integrate marketing data sources like GA4, advertising platforms, CRMs, and CDPs into consistent, well-structured datasets.

• Set data engineering standards, maintain documentation, and implement monitoring practices to ensure data quality and reliability.

• Utilize AI-driven coding, agentic engineering, and AI-empowered workflows to speed up delivery.

• Lead technical workstreams and provide mentorship to fellow engineers.

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

⛳️ Requirements

• Over 5 years of experience in data engineering, including the development of data pipelines and infrastructure from scratch.

• Extensive knowledge of cloud data platforms.

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

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

• Strong product focus and ability to deliver quantifiable business value.

• Practical experience with AI-driven coding, agentic engineering, and AI-enabled workflows.

• Demonstrated ability to mentor others and establish engineering best practices.

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

• Solid understanding of software engineering principles: version control, testing, code review, and CI/CD.

• Excellent communication skills.

• Experience managing complex and ambiguous projects from conception to completion.

• Proficient in English (B2 or higher).

• Knowledge of data governance, privacy compliance, and security best practices.

• Experience integrating AI/ML capabilities into data pipelines and exposure to GenAI applications.

• Familiarity with MLOps tools such as MLflow, SageMaker, and Vertex AI, as well as vector databases or RAG patterns.

• Experience collaborating across various sectors or client types.

• Proven history of advocating for and implementing process enhancements.

🏝️ Benefits

• 100% Remote Work.

• Highly Competitive USD Pay.

• Paid Time Off.

• Work with Autonomy.

• Collaborate with Top American Companies.

• Engagement activities and support for work-life balance.

• Diverse, global network and opportunities for multicultural collaboration.

• Work alongside seasoned senior professionals.