Senior Data Engineer: AI-Ready Modeling & Governance

Yahoo Inc.; Northern (KY); Hybrid; USD 128,000 - 267,000; Full time

Benefits offered by this job

Hybrid work options

Job summary

Yahoo Mail seeks a Sr. Data Engineer to design scalable data models and governance for AI-ready pipelines, powering real-time analytics and ML workflows.

The role leads cross-functional teams, mentors engineers, and advances data security and governance across Yahoo's global data platform. Hybrid work options available.

This position requires 10+ years of experience, strong cloud and SQL skills, and hands-on experience with GCP/AWS data services.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Engineering or related field.
• 10+ years of professional software or data engineering experience with enterprise-scale data models.
• Hands-on with AI-assisted development platforms to accelerate architectural design and data pipelines.

Responsibilities

• Architect and maintain foundational data models and schemas for multi-tenant use.
• Establish data governance, lineage, metadata and quality validation.
• Design AI-ready data layers and vector-ready feature stores for ML/AI applications.
• Refine distributed data systems across cloud ecosystems to optimize performance at scale.
• Promote AI-assisted engineering workflows and automated documentation.
• Ensure safe boundaries between automated code generation and deterministic design.

Skills

Data modeling

Data governance

Cloud data architectures

ETL/ELT pipelines

ML feature stores

AI-assisted development

Education

Bachelor’s or Master’s degree in CS/Data Engineering

Tools

BigQuery

Dataflow

Pub/Sub

Kafka

Apache Flink

Snowflake

Terraform

Kubernetes

Job description

Yahoo Mail seeks a Sr. Data Engineer to design scalable data models and governance for AI-ready pipelines, powering real-time analytics and ML workflows.

The role leads cross-functional teams, mentors engineers, and advances data security and governance across Yahoo's global data platform. Hybrid work options available.

This position requires 10+ years of experience, strong cloud and SQL skills, and hands-on experience with GCP/AWS data services.