Data Engineer 5, Insights Platform

Capital One Financial

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: Plano, TX
Salary: $209,000–$238,500 / yr
Employment: Full-time
Posted: 2 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $190k

This role $224k

$119k $260k

below market most similar roles pay here above market

This role pays more than 68% of similar roles. Most pay $133,008–$246,150 — the blue band above. At the midpoint, this role pays about $224k versus about $190k 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 1917 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 1045 roles with salary data.

Most-posted roles

View all roles at Capital One Financial

At a glance

TL;DR · Data Engineer 5, Insights Platform

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The Data Engineer 5, Insights Platform joins a collaborative team to drive a major transformation by designing, developing, and supporting technical solutions in full-stack development tools. This role involves independently building world-class cloud data, API, and MCP solutions while architecting common data engineering design patterns to ensure code quality and reusability. The engineer will lead large-scale initiatives, managing data pipelines and platforms focused on scalability and operational efficiency. Key technologies include Python, Spark, SQL, Java, and Scala, alongside open-source relational and NoSQL databases. The position requires expertise in cloud-based data warehousing platforms like Databricks and Snowflake. The work involves solving complex business problems by delivering robust cloud-first data solutions and managing distributed microservices and lakehouse architectures to support high-volume data demands.

What does a Data Engineer earn in Texas?

Median $168620 from 31 postings across 14 companies.

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Skills

Python SQL Spark Databricks Snowflake Java Scala AWS Microsoft Azure Google Cloud NoSQL relational database s Airflow Dagster EMR Glue Redshift MongoDB Cassandra DynamoDB Agile Data Modeling Data Pipelines Machine Learning Microservices

What you'll do

Design, develop, test, and support technical solutions using full-stack development tools and technologies.
Build and deliver cloud-first data solutions, APIs, and MCP applications independently.
Architect and enforce common data engineering design patterns to ensure code quality and reusability.
Design and build scalable, resilient data pipelines and platforms to handle increasing data volumes.
Lead and execute large-scale data initiatives, including making critical architectural and platform choices.
Mentor junior engineers and elevate the technical skills of peers across the data community.
Communicate technical concepts and data outcomes clearly to internal and external stakeholders.

What we're looking for

Bachelor's Degree or higher in Computer Science or a related quantitative field.
Master’s Degree in Computer Science or a related field (preferred).
At least 6 years of experience in application development.
8+ years of experience in data engineering (preferred).
At least 4 years of experience in distributed data, SQL, and designing and developing data pipelines.
At least 4 years of experience programming with Python, Java, or Scala.
At least 2 years of experience in data modeling and designing end-to-end data solutions using relational and non-relational databases.
5+ years of experience with public cloud environments, distributed compute workloads, and data warehousing solutions (preferred).

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