Description

You will implement and operationalize AI-enabled data capabilities on Google Cloud to ingest, transform, and distribute data for big data applications.

This role is on-site.

Responsibilities

• Leverage AI and agentic frameworks to automate data management, governance, quality, and compliance.
• Collaborate with principal engineers and product managers to roadmap and deliver key data capabilities.
• Consult on complex, large-scale software engineering challenges and long-term planning.
• Review and analyze complex data engineering initiatives with broad organizational impact.

Required Skills

• 5+ years of Specialty Software Engineering experience.
• 5+ years of data engineering with hands-on Cloud data solutions.
• Creating and supporting Spark-based ingestion and processing pipelines.
• 3+ years with Data Lakehouse architecture and design.
• Proficiency in Python, PySpark, Kafka, Airflow, and Google Cloud Storage.
• Experience with BigQuery, Data Proc, and Cloud Composer.
• Recent skills using AI tools: LangChain, LangGraph/ADK, RAG, GraphRAG, and MCP.

Preferred Skills

• Experience using AI to auto-generate data engineering code, context engineering, and prompt engineering.
• Public cloud certifications (GCP Professional Data Engineer, Azure Data Engineer, or AWS Specialty Data Analytics).

Key Skills

Education

Bachelor's degree