Software Engineer 3 - Contingent (AI Data Platform Engineer

In this contingent resource assignment, you will participate in moderately complex Software Engineering initiatives supporting cloud-based data platforms and AI-enabled data capabilities. This role focuses on implementing modern data engineering solutions on Google Cloud Platform while leveraging agentic AI frameworks to automate data management, governance, data quality, metadata management, and data consumption functions.

The successful candidate will partner with principal engineers, product managers, and data engineering teams to build scalable, cloud-native data solutions that support enterprise analytics and AI-driven capabilities. Day-to-Day Responsibilities

• Design, build, and support cloud-native data platforms on Google Cloud
• Develop and operationalize AI-enabled data capabilities for enterprise analytics applications
• Build scalable ingestion, transformation, and distribution pipelines using Spark-based technologies
• Leverage AI and Agentic frameworks including:

• LangChain
• LangGraph
• ADK
• MCP
• RAG
• GraphRAG

• Automate:

• Data Governance
• Data Quality
• Metadata Management
• Data Compliance
• Data Consumption Services

• Design and implement Data Lakehouse architectures
• Develop batch and streaming pipelines using:

• Kafka
• Flink
• Spark Streaming
• PySpark

• Build and support semantic and analytical data models
• Collaborate with engineering and product teams to roadmap and deliver strategic data capabilities
• Support cloud modernization and enterprise analytics initiatives
• Participate in architecture reviews and technical solutioning discussions

• 5-6 years of Google Cloud Platform (Google Cloud Platform) Data Engineering experience

• Hands-on experience with AI/Agentic frameworks including LangChain, LangGraph/ADK, RAG, GraphRAG, MCP, and agent-based architectures

• Strong experience with Python, PySpark, Kafka, Airflow, and Data Lakehouse architectures

• Experience building large-scale data ingestion and processing pipelines

• Experience with streaming technologies including Kafka, Flink, and Spark StreamingPlusses

• Cybersecurity data platform experience

• Experience building AI-powered data products

• Experience automating governance, metadata, and data quality processes

• Enterprise cloud migration experience

• Advanced Google Cloud Platform certifications

Everforth Apex is a world-class IT services company that serves thousands of clients across the globe. When you join Everforth Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRateds Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico. Everforth Apex uses a virtual recruiter as part of the application process. Click for more details. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Everforth Apex and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy at