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Fulltime Role- AI Data Engineer- 12+ Yrs Exp. only Menlo Park, CA (Onsite DAY1 ) 4 days WFO


Job Location:

Menlo Park, CA - USA

Monthly Salary: Not provided by the employer
Posted: 12 June 2026 (30+ days ago)
Application Deadline: 9 September 2026
Vacancies: 1 Vacancy
The job posting is outdated and position may be filled

Job Summary

Position: AI Data Engineer

Location - Menlo Park CA ( Onsite DAY1 ) 4 days WFO

Fulltime Role

Role Summary: AI Data Engineer with 8 years of experience building scalable data pipelines to support Data science models. Requires strong Streaming data and Spark/Python skills solid experience with distributed data processing and the ability to deliver reliable data systems for batch and real-time workloads. AdTech experience is a plus.

Location: Menlo Park CA

Key Responsibilities

  • Build and maintain batch and real-time data pipelines supporting Data Science analytics and operational use cases.
  • Develop scalable data models ETL/ELT pipelines and distributed processing jobs across structured and unstructured data.
  • Implement ingestion transformation streaming storage and data quality solutions using Spark Kafka Python and modern data frameworks.
  • Partner with product engineering analytics and data science teams to deliver reliable privacy-aware and cost-efficient data platforms.

Required Qualifications

  • BS/MS in Computer Science Engineering Data Science or related field.
  • 5 8 years in data engineering software engineering or platform engineering with strong experience building scalable data pipelines and distributed systems.
  • Strong proficiency in Spark and Python with hands-on experience in production-grade data engineering and cloud-based data platforms.
  • Hands-on with Spark Kafka HBase Presto Hive Flink Airflow/Beam SQL/NoSQL cloud platforms and AI/ML data enablement.

Preferred Qualifications

  • Good-to-have experience in AdTech e.g. Google Ads digital advertising retail media audience platforms or marketing measurement.
  • Exposure Data science models recommendation systems experimentation A/B testing or real-time decisioning.
  • Knowledge of Data privacy data governance Kubernetes Docker and microservices.
  • Ability to interpret performance metrics conduct A/B testing and use analytics tools like Google Analytics 4 (GA4) to track user behavior and Return on Ad Spend (ROAS)