Data Engineer 4

Capital One Financial

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Quick summary

Work type: On-site
Location: Wilmington, DE
Salary: $179,400–$204,700 / yr
Employment: Full-time
Posted: 14 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $181k

This role $192k

$145k $218k

below market most similar roles pay here above market

This role pays more than 54% of similar roles. Most pay $151,750–$211,200 — the blue band above. At the midpoint, this role pays about $192k versus about $181k 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.

Most-posted roles

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At a glance

TL;DR · Data Engineer 4

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The Data Engineer 4 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 design patterns to ensure code maintainability. The engineer will collaborate with Agile teams, including data scientists and product managers, to solve complex business problems and implement data security standards like encryption and fine-grained access control. Key technologies include Python, Spark, SQL, Java, and Scala, alongside open-source relational and NoSQL databases. The role also utilizes cloud-based data warehousing platforms such as Databricks and Snowflake. The work focuses on building robust, resilient data platforms and distributed microservices to support large-scale data volumes and drive powerful user experiences.

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 Microsoft Azure Google Cloud Airflow MongoDB Cassandra DynamoDB Redshift EMR Glue Splunk Agile NoSQL relational database s

What you'll do

Design, develop, test, and support technical solutions using full-stack development tools and technologies.
Build and deliver scalable, resilient, and operationally efficient cloud data pipelines and platforms.
Architect and enforce common data engineering design patterns to ensure code quality and reusability.
Implement data security standards including encryption at rest/transit and fine-grained access controls.
Develop robust cloud-first data solutions using Python, Spark, Databricks, and Snowflake.
Communicate technical concepts and data outcomes clearly to internal and external stakeholders.
Mentor other members of the data community and share expertise 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 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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