Senior Data Engineer Lead: ML, Cloud & Big Data

Capital One; Chicago (IL); On-site; USD 209,000 - 239,000; Full time

Job summary

Capital One in Chicago, IL is seeking a Senior Lead Data Engineer to drive transformation by building scalable data solutions. You will lead a team of developers, collaborate with agile teams, and apply Java, Scala, Python across distributed microservices and cloud data warehousing with Redshift and Snowflake.

You’ll mentor engineers, conduct reviews, and ensure performance while exploring new technologies and AI tooling to boost productivity.

Qualifications

• Bachelor’s degree in a related field.
• 6+ years of application development experience; internships do not count.
• At least 2 years of experience with big data technologies.
• At least 1 year of cloud computing experience (AWS/Azure/GCP).

Responsibilities

• Collaborate with Agile teams to design, develop, test, implement, 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 RDBMS/NoSQL databases; work with Redshift and Snowflake.
• Mentor engineers, review code, and promote high-quality, well-tuned solutions.
• Partner with digital product managers to deliver cloud-based experiences for customers.
• Perform unit testing and design reviews to ensure performance and code quality.

Skills

Team leadership

Mentoring

Agile engineering practices

Problem solving

Communication

Performance tuning

Education

Bachelor’s Degree

Master's Degree

Tools

Java

Scala

Python

SQL

NoSQL databases

Redshift

Snowflake

AWS

Azure

GCP

Kafka

Spark

Hadoop

MongoDB

Cassandra

Unix/Linux

Job description

Capital One in Chicago, IL is seeking a Senior Lead Data Engineer to drive transformation by building scalable data solutions. You will lead a team of developers, collaborate with agile teams, and apply Java, Scala, Python across distributed microservices and cloud data warehousing with Redshift and Snowflake.

You’ll mentor engineers, conduct reviews, and ensure performance while exploring new technologies and AI tooling to boost productivity.