# Data Engineer 4 (Manager, IC)

**Company**: Capital One
**Location**: New York, NY
**Experience**: senior
**Job type**: full-time
**Salary**: $179,400 - $204,700 for Chicago, IL; $197,300 - $225,100 for McLean, VA; $215,200 - $245,600 for New York, NY
**Category**: Engineering
**Industry**: Finance

**Apply**: https://capitalone.wd12.myworkdayjobs.com/en-US/Capital_One/job/New-York-NY/Data-Engineer-4--Manager--IC-_R1002377-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_ded61eba-ac7

## Description

We are seeking Data Engineers who are passionate about marrying data with emerging technologies. In this role, you'll be at the forefront of driving a major transformation across Capital One.

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

- 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 clearly to both internal and external stakeholders

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

- Implement data security standards, including encryption at rest/transit and fine-grained access control

Basic qualifications:

- 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:

- 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

- 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

The minimum and maximum full-time annual salaries for this role are:

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

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

- New York, NY: $215,200 - $245,600

This role is also eligible to earn performance-based incentive compensation, which may include cash bonus(es) and/or long-term incentives (LTI).

## Skills

### Required
- Python
- Spark
- SQL
- distributed microservices
- lakehouse architecture
- full-stack systems
- data pipeline design
- data modeling

### Nice to have
- Scala
- Java
- AWS
- Microsoft Azure
- Google Cloud
- EMR
- Glue
- Databricks
- Airflow
- Dagster
- Monte Carlo
- Splunk

---

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-_R1002377-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)