# Data Engineer 5, Marketing and Messaging (Enterprise Platform Technology)

**Company**: Capital One
**Experience**: senior
**Job type**: full-time
**Salary**: $209,000 - $238,500 for Data Engineer 5 (Chicago, IL and Riverwoods, IL), $229,900 - $262,400 for Data Engineer 5 (McLean, VA)
**Category**: Engineering
**Industry**: Finance

**Apply**: https://capitalone.wd12.myworkdayjobs.com/en-US/Capital_One/job/McLean-VA/Data-Engineer-5--Marketing-and-Messaging--Enterprise-Platform-Technology-_R1003880-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_19cf5f04-23d

## Description

We are seeking experienced Data Engineers to join our team, who are passionate about combining data with emerging technologies. As a Data Engineer 5 at Capital One, you will be at the forefront of driving a major transformation across the organisation.

**Responsibilities:**

- Collaborate with Agile teams to design, develop, test, implement, and support technical solutions using full-stack development tools and technologies

- Influence a team of developers, data analysts, and data scientists with expertise in machine learning, distributed microservices, lakehouse architecture, and full-stack systems

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

- Stay up-to-date with trends in data, experiment with new technologies, and mentor other members of the data community

- Collaborate with product managers and software engineers to deliver robust cloud-first data solutions that drive powerful experiences

- Independently design, build, and deliver world-class cloud data solutions and applications

- Architect and enforce common data engineering design patterns to ensure code quality, maintainability, and reusability

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

- Design and build data pipelines and platforms with a focus on scalability, resilience, and operational efficiency

- Lead and execute large-scale, transformative data initiatives from end to end

**Basic Qualifications:**

- Bachelor's Degree or higher in Computer Science or a related quantitative field

- At least 6 years of experience in application development

- At least 4 years of experience in distributed data

- At least 4 years of experience with SQL

- At least 4 years of experience programming with at least one of the following languages: Python, Java, or Scala

- At least 4 years of experience designing and developing data pipelines

- At least 2 years of experience in data modeling and designing end-to-end data solutions

**Preferred Qualifications:**

- Master's Degree in Computer Science or a related field

- 8+ years of experience in data engineering

- 4+ years of data modeling experience

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

- 5+ years of hands-on experience designing, deploying, and operating data workloads in at least one public cloud environment

- 5+ years of experience building or supporting distributed data or compute workloads using tools such as EMR, Spark, Glue, or Databricks

- 5+ years of experience designing, implementing, and operating real-time or streaming data pipelines

- 3+ years of experience working on data observability or data orchestration tools

- 5+ years of experience working with unstructured or semi-structured data using NoSQL databases

- 5+ years of experience designing and supporting data warehousing solutions

- 3+ years of experience working in an Agile development environment

- 3+ years of experience developing user-centric reusable data products

**Salary Information:**

- Chicago, IL: $209,000 - $238,500 per year

- McLean, VA: $229,900 - $262,400 per year

- Riverwoods, IL: $209,000 - $238,500 per year

**Benefits:**

- Comprehensive, competitive, and inclusive set of health, financial, and other benefits

## Skills

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

### Nice to have
- Master's Degree in Computer Science
- data modeling
- public cloud environment
- data observability
- data orchestration tools
- NoSQL databases
- data warehousing solutions
- Agile development environment

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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-5--Marketing-and-Messaging--Enterprise-Platform-Technology-_R1003880-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)