Senior Data Engineer – Advertising

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

📋 Description

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

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

• Enhance team processes, tools, and operational methods.

• Participate in thought leadership, share internal knowledge, and contribute to community of practice initiatives.

• Convert business requirements into product-oriented data solutions that deliver quantifiable business outcomes.

• Integrate marketing data sources, such as GA4, advertising platforms, CRMs, and CDPs, into dependable 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-enabled workflows to expedite delivery.

• Lead technical initiatives and provide mentorship to other engineers.

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

⛳️ Requirements

• Over 5 years of experience in data engineering.

• Proven experience in building data pipelines and infrastructure from scratch.

• In-depth 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 focus with the ability to deliver measurable business value.

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

• Background in mentoring others and establishing engineering best practices.

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

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

• Experience managing complex and ambiguous projects from inception to delivery.

• Advanced proficiency in English (B2 level 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 across various industries or client types.

• Proven track record of implementing process enhancements.

🏝️ Benefits

• 100% Remote Work.

• Highly Competitive USD Salary.

• Paid Time Off.

• Work with Autonomy.

• Collaborate with Leading American Companies.

• Engagement Activities.

• Support for Work-Life Balance.

• Collaboration with a diverse, global network.

• Access to experienced, senior professionals.