Data Engineer, Analytics (Ranking, AI
Job in
Menlo Park, San Mateo County, California, 94029, USA
Listed on 2026-08-07
Listing for:
Meta
Full Time
position Listed on 2026-08-07
Job specializations:
-
IT/Tech
Data Engineering, Data Analyst, AI Engineer (Applied/Software)
Job Description & How to Apply Below
Data Engineer, Analytics focused on Ranking and AI, based in Menlo Park, CA on site.
Responsibilities- 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
- SQL
- ETL
- Python
- C++
- C#
- Scala
- Bonus
- Equity
- Benefits
- 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
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