Senior Data Engineering Leader: ML, Cloud & Big Data

Capital One Group; New York, Northern (NY, KY); Hybrid; USD 251,000 - 286,000; Full time

Job summary

Capital One seeks a Senior Manager, Data Engineering in New York to lead a team of developers and collaborate with agile squads to design, build, test, and support scalable data solutions. You will guide architecture decisions and drive impactful data programs.

You’ll work with Java, Scala, Python and cloud data warehouses like Redshift and Snowflake, mentoring engineers and advancing real-time data processing and ML initiatives for millions of customers.

Qualifications

• 6+ years in application development (internships not counted).
• At least 2 years of experience in big data technologies.
• At least 1 year of cloud computing experience (AWS, Azure or GCP).
• 4+ years of people management experience.

Responsibilities

• Collaborate with Agile teams to design, develop, test, and support full-stack solutions.
• Lead a team of developers with ML, distributed microservices, and full-stack systems.
• Utilize Java, Scala, Python and RDBMS/NoSQL, and cloud data warehousing like Redshift or Snowflake.
• Mentor engineers, stay current with tech trends, and participate in tech communities.
• Collaborate with product managers to deliver cloud-based solutions for customers.
• Perform unit tests and ensure code is well designed and performant.

Skills

Team leadership

Mentoring

Agile

Cloud computing

Big data

Machine learning exposure

Problem solving

Education

Bachelor's Degree

Master's Degree

Tools

Java

Scala

Python

NoSQL databases

Redshift

Snowflake

AWS/Azure/GCP

Job description

Capital One seeks a Senior Manager, Data Engineering in New York to lead a team of developers and collaborate with agile squads to design, build, test, and support scalable data solutions. You will guide architecture decisions and drive impactful data programs.

You’ll work with Java, Scala, Python and cloud data warehouses like Redshift and Snowflake, mentoring engineers and advancing real-time data processing and ML initiatives for millions of customers.