Lead Data Engineer - GenAI, AWS & Python Architect

Capital One; Town of Montana (WI); On-site; USD 170,000 - 245,000; Full time

Job summary

Capital One seeks a Lead Data Engineer to drive end-to-end data engineering initiatives across modern cloud platforms. You will collaborate with agile teams, mentor engineers, and apply ML-informed approaches to large-scale data processing.

The role emphasizes full-stack development, distributed systems, and hands-on work with Python, SQL, Scala/Java, and cloud-based data warehousing to deliver impactful customer experiences.

Qualifications

• Bachelor's Degree in a technical field.
• 4+ years in application development.
• 2+ years in big data technologies.
• 1+ year cloud computing (AWS, Azure, or GCP).

Responsibilities

• Collaborate with Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies.
• Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems.
• Develop using Python, SQL, Java/Scala and cloud data warehousing services like Redshift and Snowflake.

Skills

Python

SQL

AWS

GenAI

Education

Bachelor's Degree

Tools

Redshift

Snowflake

Hadoop

Kafka

Spark

MongoDB

Job description

Capital One seeks a Lead Data Engineer to drive end-to-end data engineering initiatives across modern cloud platforms. You will collaborate with agile teams, mentor engineers, and apply ML-informed approaches to large-scale data processing.

The role emphasizes full-stack development, distributed systems, and hands-on work with Python, SQL, Scala/Java, and cloud-based data warehousing to deliver impactful customer experiences.