Senior Data Engineer, Cloud & Data Platform Innovator

Capital One National Association; McLean (VA); Hybrid; USD 197,000 - 225,000; Full time

Job summary

Capital One in McLean, VA is seeking a Data Engineer 4 focused on intelligent foundations and experiences (IFX). You will design and deliver cloud-first data solutions, collaborating with agile teams to build scalable data pipelines and secure data platforms.

You'll work with Python, Spark, SQL, and tools like Databricks and Snowflake, mentor others, and ensure data quality, security, and performance to empower financial services for millions.

Qualifications

• Bachelor’s degree in Computer Science or related quantitative field.
• At least 4 years of application development experience.
• At least 2 years of distributed data experience.
• At least 2 years of SQL experience.
• At least 2 years of programming in Python, Java, or Scala.
• At least 2 years designing and developing data pipelines.
• At least 1 year of experience in data modeling and end‑to‑end data solutions using relational and non‑relational databases.

Responsibilities

• Collaborate with Agile teams to design, develop, test, implement, and support data solutions.
• Influence a team of developers, data analysts and data scientists with ML, distributed microservices, lakehouse architecture, and full‑stack systems.
• Build data pipelines and platforms focusing on scalability, resilience, and operational efficiency.
• Architect and enforce common data engineering design patterns across data platforms and pipelines.
• Communicate data outcomes clearly to internal and external stakeholders to drive alignment.

Skills

Python

SQL

Scala

Java

Data pipelines

Education

Bachelor's Degree in Computer Science or related field

Tools

EMR

Spark

Databricks

Snowflake

Redshift

Airflow

Dagster

Job description

Capital One in McLean, VA is seeking a Data Engineer 4 focused on intelligent foundations and experiences (IFX). You will design and deliver cloud-first data solutions, collaborating with agile teams to build scalable data pipelines and secure data platforms.

You'll work with Python, Spark, SQL, and tools like Databricks and Snowflake, mentor others, and ensure data quality, security, and performance to empower financial services for millions.