Senior Cloud Data Engineer — AI & Risk Tech Pipelines

COMFORT SYSTEMS; Richmond (VA); On-site; USD 179,000 - 225,000; Full time

Job summary

Capital One in McLean/Richmond, VA seeks a Data Engineer 4 to join Risk Tech and help advance AI-powered data platforms. You will design, build, and operate scalable data pipelines using Python, Spark, SQL, and cloud data warehouses.

Collaborate with Agile teams, mentor engineers, and uphold data security standards while delivering robust data products that empower millions of customers.

Qualifications

• Bachelor's degree in Computer Science or related quantitative field.
• 4+ years of application development experience.
• 2+ years in distributed data and 2+ years with SQL.
• 2+ years in one programming language (Python, Java, or Scala).
• 2+ years of data pipeline design and development.
• 1+ year of data modeling for relational and non-relational systems.

Responsibilities

• Collaborate with Agile teams to design, develop, test and support data solutions.
• Influence teams with ML, microservices, lakehouse architectures and full-stack systems.
• Use Python, Spark, SQL and cloud data platforms like Databricks and Snowflake.
• Mentor data community members and share technology trends.
• Deliver cloud-first data solutions aligned with product needs.
• Design and enforce reusable data engineering patterns for quality and maintainability.
• Communicate data outcomes clearly to stakeholders to drive alignment.
• Build scalable, resilient data pipelines with strong operational efficiency.
• Ensure data security standards and regulatory compliance.

Skills

Python

SQL

Java

Scala

Distributed data

Data modeling

NoSQL

Data pipelines

Data warehousing

Cloud

Education

Bachelor's degree

Tools

EMR

Spark

Glue

Databricks

Job description

Capital One in McLean/Richmond, VA seeks a Data Engineer 4 to join Risk Tech and help advance AI-powered data platforms. You will design, build, and operate scalable data pipelines using Python, Spark, SQL, and cloud data warehouses.

Collaborate with Agile teams, mentor engineers, and uphold data security standards while delivering robust data products that empower millions of customers.