Data Engineer III
Company: Jobs via Dice
Location: San Ramon, CA (Remote)
Type: Contract
Remote: Yes
Posted: 2026-06-13
About this role
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Robert Half, is seeking the following. Apply via Dice today!
Description
Robert Half, one of FORTUNE's World's Most Admired Companies and a Fortune 100 Best Companies to Work For is hiring for a Data Engineer III to join the ATI Data Science Innovation department.
Solution Design & Technical Leadership
- Lead architecture and design of complex data pipelines on Databricks lakehouse architecture (Unity Catalog, Delta Lake, Structured Streaming)
- Define technical approach for data engineering initiatives, mentor less-senior engineers, and set standards for code quality through leadership and code reviews
- Design and build data foundations that enable AI/ML capabilities - feature stores, embedding pipelines, vector search indexes, and model training datasets
- Align data engineering solutions with business strategy, including support for Agentic AI workloads
Data Infrastructure & Platform
- Own health, scalability, and modernization of data infrastructure with Databricks as the strategic platform - including workload migration, compute optimization, and Unity Catalog adoption
- Optimize pipeline performance (Delta Lake table layouts, clustering, Z-ordering) and establish monitoring/alerting best practices with clear SLAs
- Build data infrastructure supporting Agentic AI systems - real-time data access layers, context retrieval pipelines, and agent-accessible data services
- Collaborate cross-functionally with DevOps, Platform Engineering, and MLOps roles to integrate data solutions into the broader technology environment and shared AI infratstructure - Mlflow registries, feature stores, and agent orchestration layers
- Provide consultation to Senior Leadership on complex projects and drive continuous improvement initiatives
Data Quality, Governance & Collaboration
- Champion data governance at all layers for data, models, and AI ...