Senior Lead Data Engineer — Enterprise Platform Tech

Capital One; McLean (VA); On-site; USD 230,000 - 262,000; Full time

Job summary

Capital One is seeking a Senior Lead Data Engineer to drive enterprise platform technology across their Marketing and Messaging domain. The role focuses on building scalable data solutions using Java, Python, Scala, and AWS, with emphasis on ML and distributed microservices.

You will mentor teams and deliver cloud-based experiences that empower millions of customers. Expect collaboration across Agile teams, code reviews, and performance tuning, with competitive compensation and benefits.

Qualifications

• Bachelor’s Degree required; 6+ years in application development (internships excluded).
• At least 2 years in big data technologies.
• At least 1 year of cloud computing experience (AWS, Azure, Google Cloud).

Responsibilities

• Collaborate with Agile teams to design, develop, test, and support full-stack solutions.
• Lead a team of developers with experience in ML, distributed microservices, and full-stack systems.
• Use Java, Scala, Python, and open-source databases; leverage cloud data warehousing (Redshift/Snowflake).
• Mentor engineers, stay current with tech trends, and participate in engineering communities.
• Deliver cloud-based solutions that enhance customer experiences and business value.

Skills

Java

Python

Scala

AWS

Big Data

Education

Bachelor’s Degree

Master’s Degree

Tools

Redshift

Snowflake

Kafka

Hadoop

MongoDB

Job description

Capital One is seeking a Senior Lead Data Engineer to drive enterprise platform technology across their Marketing and Messaging domain. The role focuses on building scalable data solutions using Java, Python, Scala, and AWS, with emphasis on ML and distributed microservices.

You will mentor teams and deliver cloud-based experiences that empower millions of customers. Expect collaboration across Agile teams, code reviews, and performance tuning, with competitive compensation and benefits.