Senior Data Engineer - Cloud, AI & Risk Tech

Capital One; McLean (VA); On-site; USD 197,000 - 225,000; Full time

Job summary

Capital One is seeking Data Engineers to join Risk Tech, driving AI-powered risk management and data-driven product development. You’ll work across Agile teams to build scalable data pipelines and cloud-based platforms using Python, Spark, Databricks, and Snowflake.

You will mentor others, influence cross-functional teams, and contribute to a major technology transformation that delivers value to customers and the business.

Qualifications

• Bachelor's degree in Computer Science or related quantitative field (Statistics, Economics, OR, Analytics, Mathematics, Engineering)
• 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 end-to-end data solutions

Responsibilities

• Collaborate with Agile teams to design, develop, test, implement, and support technical solutions
• Influence a team of developers, data analysts and data scientists
• Utilize Python, Spark and cloud data warehousing platforms like Databricks and Snowflake
• Mentor other data community members and stay current with data trends
• Deliver robust cloud-first data solutions that enable financial empowerment for millions

Skills

Python

SQL

Java

Scala

Data pipelines

Cloud

Education

Bachelor's degree in CS or related field

Tools

Databricks

Snowflake

EMR

Spark

Airflow

Dagster

Job description

Capital One is seeking Data Engineers to join Risk Tech, driving AI-powered risk management and data-driven product development. You’ll work across Agile teams to build scalable data pipelines and cloud-based platforms using Python, Spark, Databricks, and Snowflake.

You will mentor others, influence cross-functional teams, and contribute to a major technology transformation that delivers value to customers and the business.