Lead Data Engineer: AI-Driven Risk Tech (Cloud/ML)

Capital One National Association; United States; On-site; USD 179,000 - 225,000; Full time

Benefits offered by this job

Performance-based incentive

Job summary

Capital One is seeking a Lead Data Engineer-IC to join Risk Tech, pioneering data-driven risk management with AI-powered solutions. You will collaborate with risk and engineering teams to build scalable data pipelines, ML-enabled features, and cloud-based data warehousing.

Expect intensiv e collaboration, mentoring, and ongoing learning in a fast-paced environment. The role emphasizes complex data processing, real-time streaming, and full-stack development using Java, Scala, Python, SQL/NoSQL,

Qualifications

• Bachelor's Degree required.
• At least 4 years in application development (internships excluded).
• At least 2 years in big data technologies.
• At least 1 year of cloud computing experience (AWS, Azure, GCP).

Responsibilities

• Collaborate across Agile teams to design and implement technical solutions.
• Work with ML and distributed microservices teams to deliver full-stack systems.
• Use Java, Scala, Python and SQL/NoSQL databases and cloud data warehousing.
• Mentor engineers and share tech trends within the team.
• Deliver cloud-based solutions that enable financial empowerment for customers.
• Conduct unit tests and reviews to ensure high-quality, performant code.

Skills

Big data

Python

SQL

Scala

Java

Cloud computing

Machine learning basics

Education

Bachelor's Degree

Tools

Spark

Hadoop

Kafka

Redshift

Snowflake

Job description

Capital One is seeking a Lead Data Engineer-IC to join Risk Tech, pioneering data-driven risk management with AI-powered solutions. You will collaborate with risk and engineering teams to build scalable data pipelines, ML-enabled features, and cloud-based data warehousing.

Expect intensiv e collaboration, mentoring, and ongoing learning in a fast-paced environment. The role emphasizes complex data processing, real-time streaming, and full-stack development using Java, Scala, Python, SQL/NoSQL,