# Data Engineer 4 (Manager, IC)

**Company**: Capital One
**Experience**: senior
**Job type**: full-time
**Salary**: $197,300 - $225,100
**Category**: Engineering
**Industry**: Finance

**Apply**: https://capitalone.wd12.myworkdayjobs.com/en-US/Capital_One/job/New-York-NY/Data-Engineer-4--Manager--IC-_R1003355-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_ec35b423-3ea

## Description

We are seeking Data Engineers who are passionate about marrying data with emerging technologies. As a Data Engineer 4 (Manager, IC) at Capital One, you will be at the forefront of driving a major transformation across the company.

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

**Key Responsibilities:**

- Collaborate with product managers and software engineers to deliver robust cloud-first data solutions that drive powerful experiences to help millions of Americans achieve financial empowerment

- Independently design, build, and deliver world-class cloud data solutions and applications with little or no support from supervisors or managers

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

- Serve as an ambassador for the data engineering team, communicating technical concepts and data outcomes clearly to both internal and external stakeholders to drive alignment and shared understanding

- Design and build data pipelines and platforms with a focus on scalability, resilience, and operational efficiency, ensuring robust performance under increasing data volume and business demands

- Implement data security standards, including encryption at rest/transit and fine-grained access control, ensuring compliance with data privacy regulations

**Requirements:**

- Bachelor's Degree or higher in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)

- At least 4 years of experience in application development

- At least 2 years of experience in distributed data

- At least 2 years of experience with SQL

- At least 2 years of experience with 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 both relational and non-relational database systems

**Preferred Qualifications:**

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

- 4+ years of hands-on experience designing, deploying, and operating data workloads in at least one public cloud environment (AWS, Microsoft Azure, or Google Cloud)

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

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

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

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

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

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

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

**Salary Information:** Cambridge, MA: $197,300 - $225,100 for Data Engineer 4 McLean, VA: $197,300 - $225,100 for Data Engineer 4 New York, NY: $215,200 - $245,600 for Data Engineer 4 Richmond, VA: $179,400 - $204,700 for Data Engineer 4

**Benefits:** Capital One offers a comprehensive, competitive, and inclusive set of health, financial, and other benefits that support your total well-being.

## Skills

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

### Nice to have
- AWS
- Microsoft Azure
- Google Cloud
- 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/New-York-NY/Data-Engineer-4--Manager--IC-_R1003355-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)