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Posted June 12, 2026
Robert Half

Data Engineer III

San Ramon, CA 94583, US Remote Full Time
Compensation: $104 to $153 Yearly

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 assets
  • Implement data quality strategies (master data management, validation rules, Delta Live Tables expectations) to ensure trust in enterprise data
  • Serve as liaison across data engineering, AI engineering, and business teams; promote data literacy and stewardship



Qualifications:

  • Bachelor's in Computer Science, Engineering, or related field (Master's preferred)
  • 5+ years with Python and SQL in data engineering for big data ML/analytics workloads
  • 5+ years designing, building, and troubleshooting scalable ETL/ELT pipelines for business-critical production systems
  • 3+ years with cloud data services (AWS), container orchestration (Docker, Kubernetes), and IaC (Terraform, CloudFormation)
  • 3+ years architecting ML workflows and data platforms with CI/CD, automated testing, and distributed processing (Spark)
  • 3+ years collaborating cross-functionally with Data Science, MLOps, Platform Engineering, and DevOps teams
  • 3+ years implementing data quality testing and optimizing SQL/Python for cost/performance in the cloud
  • Understanding of the full Data Science SDLC, and experience mentoring engineers

Strongly Preferred - Databricks & AI Platform

  • 2+ years hands-on with Databricks (Delta Lake, Unity Catalog, Databricks SQL)
  • Experience with MLflow experiment tracking and model registry workflows
  • Experience designing pipelines that serve AI/ML inference — real-time feature engineering, embedding generation, and context retrieval for LLM-based systems
  • Understanding of how data engineering supports Agentic AI: agent-accessible data services, low-latency retrieval, and pipelines enabling autonomous multi-step workflows
  • Familiarity with Databricks Mosaic AI, Vector Search, and/or Feature Store
  • FinOps awareness — compute cluster optimization, cost attribution by workload

Nice to Have

  • Familiarity with Salesforce/Heroku data infrastructures
  • Experience with data virtualization (e.g., Dremio)
  • Understanding of Platform Engineering concepts and internal developer platforms
  • Experience migrating from legacy data warehouse/lake to unified lakehouse architecture
  • Familiarity with Odaseva data security and management



Compensation

$104,000.00-$153,000.00 Yearly

About Us

Technology Doesn't Change the World, People Do.®

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