Senior Data Engineer – Advertising

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

📋 Description

• Design, construct, and enhance 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, share internal knowledge, and participate in community of practice initiatives.

• Transform business requirements into product-oriented data solutions that generate measurable business outcomes.

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

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

• Utilize AI-driven coding, autonomous engineering, and AI-supported workflows to expedite delivery.

• Lead technical workstreams and provide mentorship to fellow engineers.

• Engage with cross-functional stakeholders to tackle complex data issues.

⛳️ Requirements

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

• Extensive expertise in 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 focus on product orientation with a proven ability to deliver measurable business value.

• Practical experience with AI-driven coding, autonomous engineering, and AI-supported workflows.

• Demonstrated experience in mentoring others and establishing engineering standards.

• Knowledge of marketing data ecosystems, including GA4, advertising platforms, CRMs, and CDPs.

• Understanding of software engineering principles, including version control, testing, code review, and CI/CD.

• Excellent communication skills.

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

• Proficient in advanced 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, along with vector databases or RAG patterns.

• Experience working across diverse verticals or client types.

• Proven track record in 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

• Support for work-life balance

• Collaboration with a diverse, multicultural global network

• Access to experienced senior talent and skilled professionals