Senior Lead Data Engineer - Real-Time Data & ML Systems

Capital One; Virginia (MN); On-site; USD 209,000 - 262,400; Full time

Job summary

Capital One seeks a Senior Lead Data Engineer for Intelligent Foundations and Experiences (IFX). You will design, develop, test, and support full-stack data solutions in a fast-paced, collaborative environment across McLean, Cambridge, and Richmond locations.

You’ll lead ML-enabled distributed systems and mentor engineers to deliver scalable cloud-based data warehousing and real-time analytics. The role requires advanced expertise in Python, Java/Scala, SQL, and experience with Redshift or

Qualifications

• Bachelor’s Degree
• At least 6 years of experience in application development (Internship experience does not apply)
• At least 2 years of experience in big data technologies
• At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)

Responsibilities

• Collaborate with Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies
• Lead a team of developers with deep experience in machine learning, distributed microservices, and full stack systems
• Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake
• Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community

Skills

Python

SQL

Scala

Java

Cloud computing

Education

Bachelors Degree

Masters Degree

Tools

Hadoop

Spark

Kafka

Redshift

Snowflake

Job description

Capital One seeks a Senior Lead Data Engineer for Intelligent Foundations and Experiences (IFX). You will design, develop, test, and support full-stack data solutions in a fast-paced, collaborative environment across McLean, Cambridge, and Richmond locations.

You’ll lead ML-enabled distributed systems and mentor engineers to deliver scalable cloud-based data warehousing and real-time analytics. The role requires advanced expertise in Python, Java/Scala, SQL, and experience with Redshift or