Software Engineer

Job Summary

Responsibilities

• Implement and operationalize modern AI-enabled data capabilities on Google Cloud
• Leverage AI/Agentic frameworks to automate data management, governance, and data consumption capabilities
• Work within a matrix org. with principal engineers, product managers, and data engineers to roadmap, plan, and deliver key data capabilities based on priority

Qualifications

• Demonstrable skills (recent) using AI tools such as LangChain, LangGraph/ADK, agentic frameworks, RAG, GraphRAG, and using MCP to build agent-based data capabilities
• 5+ years of experience in data engineering including hands-on experience working with Cloud data solutions: creating/supporting Spark based ingestion and processing
• 3+ years of experience with Data Lakehouse architecture and design, including hands-on experience with Python, pySpark, Kafka, Airflow, Google Cloud Storage, Big Query, Data Proc, Cloud Composer
• Hands-on experience developing data flows using Kafka, Flink, and Spark streaming

Benefits

• Medical
• Prescription
• Dental
• Vision
• AD&D
• Life insurance
• Short-term disability
• 401K plan

Pay

Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc.

Schedule

Work hours: 8am to 5pm