Data Engineer 4, Auto Data Platforms

Capital One Financial

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Quick summary

Work type: On-site
Location: Plano, TX
Salary: $179,400–$204,700 / yr
Employment: Full-time
Posted: 11 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $177k

This role $192k

$135k $225k

below market most similar roles pay here above market

This role pays more than 53% of similar roles. Most pay $143,625–$211,200 — the blue band above. At the midpoint, this role pays about $192k versus about $177k 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 2107 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 1107 roles with salary data.

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At a glance

TL;DR · Data Engineer 4, Auto Data Platforms

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The Data Engineer 4, Auto Data Platforms joins a collaborative team to design, develop, and support technical solutions within a cloud-first environment. This role involves independently architecting and delivering world-class data solutions, building scalable pipelines, and enforcing common engineering design patterns to ensure code maintainability. You will work across Agile teams to implement data security standards, including encryption and fine-grained access control, while mentoring other members of the data community. Key technologies include Python, Spark, SQL, Java, and Scala, alongside open-source relational and NoSQL databases. You will utilize cloud-based data warehousing platforms such as Databricks and Snowflake. The work focuses on solving complex business problems by building robust distributed microservices and lakehouse architectures to drive powerful experiences and ensure operational efficiency under increasing data volume.

What does a Data Engineer earn?

Median $159000 from 203 postings across 58 companies.

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Skills

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

What you'll do

Design, develop, test, and support technical solutions using full-stack development tools and technologies.
Build and deliver world-class cloud data solutions and applications independently with minimal supervision.
Architect and enforce common data engineering design patterns to ensure code quality and reusability.
Design and build scalable, resilient, and operationally efficient data pipelines and platforms.
Implement data security standards including encryption and fine-grained access control to ensure regulatory compliance.
Utilize Python, Spark, and cloud-based platforms like Databricks and Snowflake to manage data workloads.
Communicate technical concepts and data outcomes clearly to internal and external stakeholders to drive alignment.

What we're looking for

Bachelor's Degree or higher in Computer Science or a related quantitative field.
At least 4 years of experience in application development.
At least 2 years of experience in distributed data, SQL, and data pipeline design and development.
At least 2 years of experience with one programming language such as Python, Java, or Scala.
At least 1 year of experience in data modeling and designing end-to-end data solutions using relational and non-relational databases.
7+ years of experience in application development with proficiency in Python, SQL, Scala, or Java (preferred).
4+ years of experience designing, deploying, and operating data workloads in a public cloud environment (preferred).
4+ years of experience building or supporting distributed data or compute workloads using tools such as EMR, Spark, Glue, or Databricks (preferred).

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