# Data Engineer 4

**Company**: Capital One
**Location**: McLean, VA
**Experience**: senior
**Job type**: full-time
**Salary**: $179,400 - $204,700
**Category**: Engineering
**Industry**: Finance

**Apply**: https://capitalone.wd12.myworkdayjobs.com/en-US/Capital_One/job/McLean-VA/Data-Engineer-4_R1002442-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/job/data-engineer-4-82e2810a-004/

## Description

We are seeking experienced Data Engineers to join our team, who are passionate about combining data with emerging technologies. As a Data Engineer 4 at Capital One, you will be at the forefront of driving a major transformation across the company.

You will collaborate with Agile teams to design, develop, test, implement, and support technical solutions using full-stack development tools and technologies. You will influence a team of developers, data analysts, and data scientists with expertise in machine learning, distributed microservices, lakehouse architecture, and full-stack systems.

Key responsibilities include:

- Designing, building, and delivering cloud-first data solutions that drive powerful experiences for customers

- Utilizing programming languages such as Python and Spark, along with open-source relational and NoSQL databases, and cloud-based data warehousing platforms like Databricks and Snowflake

- Architecting and enforcing common data engineering design patterns to ensure code quality, maintainability, and reusability

- Serving as an ambassador for the data engineering team, communicating technical concepts and data outcomes to internal and external stakeholders

- Implementing data security standards, including encryption and fine-grained access control, to ensure compliance with data privacy regulations

Requirements:

- 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 one programming language (Python, Java, or Scala)

- At least 2 years of experience in data pipeline design and development

- At least 1 year of experience in data modeling and designing end-to-end data solutions using relational and non-relational database systems

Preferred qualifications:

- 7+ years of experience in application development with proficiency in Python, SQL, Scala, or Java

- 4+ years of hands-on experience designing, deploying, and operating data workloads in public cloud environments

- 4+ years of experience building or supporting distributed data or compute workloads using tools like EMR, Spark, Glue, or Databricks

The salary ranges for this role are:

Chicago, IL: $179,400 - $204,700

McLean, VA: $197,300 - $225,100

Plano, TX: $179,400 - $204,700

Richmond, VA: $179,400 - $204,700

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## Skills

### Required
- Python
- Spark
- SQL
- Java
- Scala
- Databricks
- Snowflake
- machine learning
- distributed microservices
- lakehouse architecture

### Nice to have
- EMR
- Glue
- Airflow
- Dagster
- Monte Carlo
- Splunk
- MongoDB
- Cassandra
- DynamoDB
- Redshift

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Source: [Apply at capitalone.wd12.myworkdayjobs.com](https://capitalone.wd12.myworkdayjobs.com/en-US/Capital_One/job/McLean-VA/Data-Engineer-4_R1002442-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)