Data Engineer IV

Capital One Financial

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: Chicago, IL
Salary: $179,400–$204,700 / yr
Employment: Full-time
Posted: 3 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $176k

This role $192k

$131k most similar roles pay here $220k

This role pays more than 64% of similar roles. Most pay $140,000–$211,200 — the shaded band above. At the midpoint, this role pays about $192k versus about $176k 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 936 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 933 roles with salary data.

Most-posted roles

View all roles at Capital One Financial

At a glance

TL;DR · Data Engineer IV

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As a Data Engineer 4, you will join an agile team to design, develop, test, and support technical solutions within a full-stack development environment. You will build and deliver robust cloud-first data solutions, architecting common engineering patterns to ensure code quality and reusability across platforms. Your daily work involves building scalable data pipelines, implementing security standards like encryption and access control, and collaborating with product managers to solve complex business problems. The role requires proficiency in Python, Spark, SQL, and Scala, alongside experience with distributed microservices, lakehouse architecture, and NoSQL databases. You will utilize tools such as Databricks, Snowflake, EMR, Glue, and Airflow. This position focuses on the technical challenge of managing high-volume data workloads while ensuring operational efficiency and performance in a cloud-based infrastructure to support large-scale consumer financial experiences.

What does a Data Engineer earn?

Median $162000 from 204 postings across 57 companies.

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Skills

Python Spark SQL Scala Java Databricks Snowflake AWS Azure NoSQL MongoDB Cassandra DynamoDB Redshift Airflow Dagster Splunk Agile

What you'll do

Design, develop, test, and support technical solutions using full-stack development tools and technologies.
Build and deliver scalable, resilient cloud-first data pipelines and platforms to handle increasing volumes of data.
Architect and enforce common data engineering design patterns to ensure code quality and maintainability across platforms.
Implement data security standards including encryption and fine-grained access control to ensure regulatory compliance.
Develop robust data solutions using Python, Spark, and cloud-based platforms like Databricks and Snowflake.
Communicate complex technical concepts and data outcomes clearly to both internal and external stakeholders.
Mentor other members of the data community and stay current on emerging technology trends.

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 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 in cloud environments, distributed workloads, real-time pipelines, NoSQL databases, or data warehousing (preferred).
2+ years of experience in Agile environments, user-centric products, data observability, or orchestration tools (preferred).

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