Staff Data Engineer: AI Governance & Enterprise Platforms

Ping Identity; Austin (TX); On-site; USD 132,000 - 170,000; Full time

Benefits offered by this job

Generous PTO & Holiday Schedule

Parental Leave

Progressive Healthcare Options

Retirement Programs

Education Reimbursement

Commuter Offset (Specific locations)

Job summary

Ping Identity seeks a senior data engineer to build scalable data pipelines and analytics for enterprise identity governance. You will design ETL processes, optimize data workflows, and ensure reliable data for AI governance initiatives across platforms.

The role emphasizes collaboration, security, and performance in a cloud-centric environment. With 8+ years in data engineering, you will work with Spark/Beam/Flink, BigQuery, and distributed data systems to deliver robust data solutions, while

Qualifications

• 8+ years of experience in data engineering related software engineering roles, with hands-on experience in data ingestion, data preparation, data processing, and building scalable data pipelines using frameworks such as Apache Spark, Apache Beam, or Apache Flink.
• Strong understanding of data modeling and designing scalable data solutions for enterprise applications.
• Extensive experience with BigQuery, SQL, NoSQL databases, and Elasticsearch.
• Experience designing, optimizing, and troubleshooting analytical queries.
• Hands-on experience building and maintaining ETL pipelines and large-scale data processing solutions.
• Familiarity with structured and unstructured data management concepts.
• Good understanding of distributed data systems and data integration patterns.
• Strong analytical, problem-solving, and communication skills.

Responsibilities

• Design, develop, and maintain AI agent governance capabilities across AI platforms like Amazon Bedrock, Google Vertex AI, Microsoft Copilot, Azure AI Foundry etc.
• Rapidly prototype and iterate on AI agent capabilities, continuously evaluating and adopting new frameworks, features, and industry best practices as the AI ecosystem evolves.
• Leverage AI coding assistants and agentic development tools to accelerate delivery while maintaining a strong focus on clear requirements, modular design, observability, maintainability, and code quality.
• Drive the evolution of core Identity Governance capabilities—including certifications, lifecycle management, workflows, and Separation of Duties (SoD)—by enhancing existing functionality, improving performance and scalability, and delivering incremental features that strengthen enterprise identity governance.
• Partner closely with Support and customer-facing teams to troubleshoot and resolve customer issues, drive timely solutions, improve product reliability, and deliver a positive customer experience that builds trust and customer delight.
• Monitor AI agent performance, usage, operational health, and security across multiple platforms.
• Collaborate with platform, security, and product teams to implement secure AI solutions using authentication, authorization, and least-privilege principles.
• Contribute to observability by implementing logging, metrics, monitoring, and compliance for AI agents.
• Evaluate and adopt emerging AI agent platforms, interoperability standards (such as MCP and Agent-to-Agent communication), and governance technologies.
• Document architecture, governance processes, operational procedures, and engineering best practices for AI agents.

Skills

Data ingestion

Data processing

ETL pipelines

BigQuery

SQL

NoSQL

Elasticsearch

Spark/Beam/Flink

Data modeling

Distributed systems

Analytics

Education

Bachelor's degree in Computer Science, Software Engineering, Data Engineering, or equivalent practical experience

Tools

Docker

Kubernetes

Job description

Ping Identity seeks a senior data engineer to build scalable data pipelines and analytics for enterprise identity governance. You will design ETL processes, optimize data workflows, and ensure reliable data for AI governance initiatives across platforms.

The role emphasizes collaboration, security, and performance in a cloud-centric environment. With 8+ years in data engineering, you will work with Spark/Beam/Flink, BigQuery, and distributed data systems to deliver robust data solutions, while