Data Engineer, Analytics focused on Ranking and AI, based in Menlo Park, CA on site.

Own and design scalable data architectures for multiple large‑scale initiatives, evaluating design choices and cost‑benefit tradeoffs across systems.
Develop and contribute to logging data frameworks to boost data capture effectiveness, collaborating with infrastructure teams to triage and resolve issues.
Partner with engineers, product managers, and data scientists to capture data needs and translate insights into meaningful visual representations.
Establish and manage service level agreements for data sets within assigned domains.
Design and enforce security models aligned with privacy requirements, validate safeguards, address data quality concerns, and evolve governance processes in owned areas.
Create, deploy, and launch sophisticated data models and visualizations supporting multiple use cases across products and domains.
Address complex data integration challenges by applying efficient ETL patterns, frameworks, and queries across structured and unstructured sources.
Assist in maintaining production data processes, optimizing code performance through advanced algorithmic approaches.
Refine pipelines, dashboards, frameworks, and systems to streamline development of data artifacts.
Influence product and cross‑functional teams to uncover data opportunities that drive measurable impact.
Provide mentorship through actionable feedback to teammates and peers.

7+ years of experience with SQL
Experience with ETL
Experience with data modeling
Experience with at least one programming language such as Python, C++, C#, Scala, or similar

Proven ability to integrate AI tools to optimize workflows and deliver measurable impact such as efficiency gains or quality improvements
Ongoing AI skill development including prompt engineering and agent orchestration, keeping pace with emerging AI technologies
Experience applying responsible, ethical AI practices, including risk assessment, bias mitigation, and quality reviews
Master's or PhD in a STEM field with coursework or research in data systems, machine learning, or related areas

Data Engineer, Analytics (Ranking, AI)

Job Description