Senior Data Engineer – Advertising

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

📋 Description

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

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

• Enhance team workflows, tools, and operational methodologies.

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

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

• Integrate marketing data sources, including GA4, advertising platforms, CRMs, and CDPs, into consistent and well-structured datasets.

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

• Utilize AI-driven coding, agentic engineering, and AI-enhanced workflows to expedite project delivery.

• Lead technical initiatives and provide mentorship to fellow engineers.

• Collaborate with cross-functional teams to tackle intricate data challenges.

⛳️ Requirements

• Over 5 years of experience in data engineering, developing 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-oriented mindset with a focus on delivering measurable business value.

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

• Proven experience in mentoring colleagues and establishing engineering best practices.

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

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

• Excellent communication skills across various technical levels.

• Background in managing complex and ambiguous projects from inception to delivery.

• Proficient in English (B2 level or higher).

• Familiarity with data governance, privacy compliance, and security best practices.

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

• Knowledge of MLOps tools like MLflow, SageMaker, and Vertex AI, along with vector databases or RAG patterns.

• Experience working in diverse verticals or with various client types.

• Proven track record of advocating for and implementing process enhancements.

🏝️ Benefits

• 100% Remote Work.

• Highly Competitive USD Salary.

• Paid Time Off.

• Autonomy in your work.

• Collaboration with Leading American Companies.

• Engagement activities that support well-being and work-life balance.

• A diverse, global network fostering multicultural collaboration.

• Opportunities to collaborate with experienced and seasoned professionals.