# Data Engineer 4 (Manager IC) Risk Tech

**Company**: Capital One
**Location**: Richmond, VA
**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/Richmond-VA/Data-Engineer-4--Manager-IC--Risk-Tech_R1003767-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_5e878260-a10

## Description

We are seeking a Data Engineer 4 (Manager IC) to join our Risk Tech team at Capital One. As a Data Engineer, you will be responsible for designing, developing, testing, and implementing technical solutions in full-stack development tools and technologies.

In this role, you will collaborate with Agile teams to drive a major transformation across Capital One, focusing on building data-driven tools that use machine learning to prevent risks and automatically detect issues.

Key responsibilities include:

- Collaborating with teams to design, develop, test, and implement technical solutions

- Influencing a team of developers, data analysts, and data scientists

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

- Sharing knowledge of trends in data and experimenting with new technologies

- Collaborating with product managers and software engineers to deliver robust cloud-first data solutions

- Designing, building, and delivering world-class cloud data solutions and applications

- Architecting and enforcing common data engineering design patterns

- Serving as an ambassador for the data engineering team

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

- Implementing data security standards

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

- 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

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

- 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 ranges:

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

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

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

## Skills

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

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

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Source: [Apply at capitalone.wd12.myworkdayjobs.com](https://capitalone.wd12.myworkdayjobs.com/en-US/Capital_One/job/Richmond-VA/Data-Engineer-4--Manager-IC--Risk-Tech_R1003767-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)