# Data Engineer 4 (Manager, IC)

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

**Apply**: https://capitalone.wd12.myworkdayjobs.com/en-US/Capital_One/job/McLean-VA/Data-Engineer-4--Manager--IC-_R1002276-2?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_43b5e70f-35f

## Description

We are seeking experienced Data Engineers who are passionate about combining data with emerging technologies to drive business growth. As a Data Engineer 4 at Capital One, you will lead the design, development, testing, implementation, and support of technical solutions using full-stack development tools and technologies.

**Key Responsibilities:**

- Collaborate with cross-functional Agile teams to develop and implement technical solutions

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

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

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

- Design, build, and deliver cloud-first data solutions that drive customer experiences and financial empowerment

- 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 stakeholders

- Design and build scalable, resilient, and efficient data pipelines and platforms

- Implement data security standards, including encryption and access control, to ensure compliance with regulations

**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, 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 proficiency in Python, SQL, Scala, or Java

- 4+ years of hands-on experience designing, deploying, and operating data workloads in public cloud environments

- 4+ years of experience building or supporting distributed data or compute workloads using tools like 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:** $197,300 - $225,100 per year

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

### Nice to have
- 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/McLean-VA/Data-Engineer-4--Manager--IC-_R1002276-2?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)