# Data Engineer 4

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

**Apply**: https://capitalone.wd12.myworkdayjobs.com/en-US/Capital_One/job/McLean-VA/Data-Engineer-4_R1005553-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/job/data-engineer-4-b6f73643-0b9/

## 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, and implement technical solutions using full-stack development tools and technologies. Your responsibilities will include influencing a team of developers, data analysts, and data scientists with expertise in machine learning, distributed microservices, lakehouse architecture, and full-stack systems.

Key skills and technologies you will work with include:

- Programming languages such as Python and Spark

- Open-source relational and NoSQL databases

- Cloud-based data warehousing platforms including Databricks and Snowflake

Your tasks will involve:

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

- Independently designing, building, and delivering world-class cloud data solutions and applications

- 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 stakeholders

- Designing and building data pipelines and platforms with a focus on scalability, resilience, and operational efficiency

- Implementing data security standards, including encryption and fine-grained access control

The successful candidate will have:

- A 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

Preferred qualifications include:

- 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

- Experience with data observability, data orchestration tools, and NoSQL databases

In terms of compensation, the salary range for this role is:

- Remote: $179,400 - $204,700 per year

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

This role is also eligible for performance-based incentive compensation, including cash bonuses and long-term incentives.

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## Skills

### Required
- Python
- Spark
- SQL
- distributed data
- data pipeline design
- data modeling

### Nice to have
- Java
- Scala
- public cloud environments
- data observability
- data orchestration tools
- NoSQL databases

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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_R1005553-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)