Staff Engineer, Developer Insights & AI Telemetry

Capital One Financial

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
New York, NYMcLean, VARichmond, VAPlano, TXWilmington, DE
Salary
$269,100–$307,200 / yr
Employment
Full-time
Posted
3 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $221k
This role $288k
$161k most similar roles pay here $323k

This role pays more than 97% of similar roles. Most pay $187,185–$254,750 — the shaded band above. At the midpoint, this role pays about $288k versus about $221k for comparable roles.

Based on 240 similar postings.

Employer

About Capital One Financial

Capital One Financial is a bank holding company specializing in credit cards, auto loans, banking, and savings products, known for its data-driven approach to consumer and commercial finance. Industry: Financial Services & Banking

Capital One Financial currently has 1554 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 796 roles with salary data.

Most-posted roles

View all roles at Capital One Financial

At a glance

TL;DR · Staff Engineer, Developer Insights & AI Telemetry

Staff Engineer -Developer Insights & AI Telemetry serves as a technical leader within a team of data engineers and scientists focused on building advanced data platforms. You will architect long-term roadmaps for distributed AI telemetry, streaming data engineering, and automated developer insight frameworks. Your daily work involves evolving internal telemetry platforms into high-performance systems, deploying LLM-as-a-Judge models to score code complexity, and transitioning batch reporting to real-time event-driven architectures using Medallion structures. You will also implement privacy-by-design principles like PII masking and secret filtering. The role requires expertise in Python, Java, or Scala, along with experience in AWS, Spark, Glue, Databricks, and NoSQL databases like MongoDB or Cassandra. You will solve complex problems regarding developer productivity by correlating AI code density with business metrics such as feature lead time and PR cycle times.

What does a Engineer earn in Texas?

Median $182000 from 39 postings across 14 companies.

See salary data

What you'll do

  • Architect the long-term enterprise roadmap for distributed AI telemetry, streaming data engineering, and automated developer insight frameworks.
  • Evolve the internal developer telemetry platform into a stateless, low-latency system capable of handling billions of annual events.
  • Deploy advanced inference capabilities and LLM-as-a-Judge models to score code complexity and calculate generative AI ROI.
  • Transition the data strategy from batch reporting to real-time event-driven architectures using Medallion data structures.
  • Link AI code density and telemetry data to core business metrics like feature lead time and PR cycle time.
  • Design and enforce privacy-by-design principles, including automated PII masking and secret filtering.
  • Lead through technical contributions by prototyping systems, evaluating build vs. buy paths, and authoring code patterns.
  • Mentor senior engineers and create educational materials to share knowledge across the organization.

What we're looking for

  • Bachelor's Degree or higher in Computer Science or a related quantitative field.
  • At least 7 years of experience in data engineering.
  • At least 3 years of experience in data architecture.
  • At least 2 years of experience building applications in AWS.
  • At least 5 years of experience programming with Python, Java, or Scala.
  • At least 5 years of experience designing and developing data pipelines.
  • At least 3 years of experience in data modeling and designing end-to-end solutions using relational and non-relational databases.
  • Master's Degree in Computer Science or a related field (preferred); 10+ years of experience in data engineering (preferred).

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