USA - Austin, TX

Salary
$132,000–$170,000from the description
Posted
Aug 5, 2026
Location
USA - Austin, TX
Last confirmed open
Sep 24, 2026

What this job asks for AI summary

A Staff Engineer role on Ping Identity's Data Platform team, focused on building AI agent governance capabilities — covering agent discovery, lifecycle management, policy enforcement, and observability across platforms like Amazon Bedrock, Google Vertex AI, and Azure AI Foundry. The role also involves evolving core Identity Governance features and maintaining large-scale data pipelines. It suits an experienced data/software engineer comfortable bridging AI platform integration with enterprise-grade data infrastructure.

Staff level · 8+ years · Denver-Aurora-Lakewood, CO · Full-time

Must have (6)
Apache Spark, Apache Beam or FlinkBigQuerySQLNoSQLElasticsearchETL pipelines
Nice to have (6)
Amazon Bedrock, Vertex Ai, GitHub Copilot or Azure Ai FoundryLangGraph or LlamaindexAWS, Azure or GCPDockerKubernetesCI/CD

“or” means any one of them counts — you don't need all of them.

We read this from the posting text with AI. Skim the description below before ruling yourself out.

How this req sits in the market our data

Roughly 6 people in the Denver-Aurora-Lakewood, CO area plausibly meet what this posting asks for (database architects). range 2–10

Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.

What won't set you apart
SQL90%

Most people in this occupation already list these. Still required — just not what gets you shortlisted.

What the occupation pays Median $166,217 (middle half $137,958–$174,055). This posting is about at that midpoint.

Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Aug 6, 2026. It is a model, not a headcount.

Why we read it this way (6)

The SOC classification is a close call: the role is framed as a Data Platform engineering position with heavy data pipeline and data modeling requirements (pointing to 15-1243 Database Architects / Data Engineers), but a substantial portion of the work involves building AI agent governance software and evolving Identity Governance product features (pointing to 15-1252 Software Developers). 15-1243 was chosen as the primary because the stated hard requirements center on data engineering — pipelines, BigQuery, Spark/Beam/Flink, ETL — while the AI agent and product feature work appears more aspirational/emerging.

The compensation range is cited specifically under Colorado's Equal Pay Act and may not reflect the full national range for this role.

Apache Spark is listed as the primary skill with Apache Beam and Apache Flink as named alternatives, since the JD presents all three as interchangeable framework options ('such as Apache Spark, Apache Beam, or Apache Flink').

ETL pipelines is retained as a skill here because the JD explicitly names it as a concrete hands-on requirement ('building and maintaining ETL pipelines'), distinguishing it from a generic methodology.

All 'Bonus Points' items (LangGraph/LlamaIndex, cloud platforms, Docker, Kubernetes, CI/CD) are listed under a clearly secondary heading and are marked preferred accordingly.

Location is inferred as Colorado-based (Denver metro) from the Colorado Equal Pay Act disclosure; the posting does not explicitly state a city or confirm remote eligibility.

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