Lead Data Engineer: Intelligent Foundations

Capital One; Cambridge (MA); On-site; USD 197,300 - 225,100; Full time

Job summary

Capital One in Cambridge, MA is seeking a Lead Data Engineer to join a fast-paced, collaborative technology team. You will design, build, test, and support data-driven solutions across ML and full-stack systems using Java, Python, Scala and SQL.

You will collaborate with agile teams and product managers, mentor peers, and contribute to cloud-based data platforms using Redshift or Snowflake and related tools. This role requires deep data engineering experience and a passion for innovation.

Qualifications

• Bachelor’s degree or equivalent.
• 4+ years of application development experience.
• 2+ years in big data technologies.
• 1+ year cloud experience (AWS/Azure/Google Cloud).

Responsibilities

• Design, develop, test, implement, and support full-stack data solutions.
• Work with teams across agile environments on ML, microservices, and data pipelines.
• Utilize Java, Python, Scala and SQL with cloud data warehousing like Redshift/Snowflake.
• Mentor engineers and contribute to cloud and data tech communities.
• Collaborate with product managers to deliver cloud-based data experiences for customers.
• Perform unit tests and code reviews to ensure performance.

Skills

Java

Python

Scala

SQL

Golang

NoSQL

Big data

Cloud computing

Distributed data processing

AI tooling

Education

Bachelor’s Degree

Tools

Redshift

Snowflake

Kafka

Spark

EMR

MySQL

DynamoDB

PostgreSQL

Job description

Capital One in Cambridge, MA is seeking a Lead Data Engineer to join a fast-paced, collaborative technology team. You will design, build, test, and support data-driven solutions across ML and full-stack systems using Java, Python, Scala and SQL.

You will collaborate with agile teams and product managers, mentor peers, and contribute to cloud-based data platforms using Redshift or Snowflake and related tools. This role requires deep data engineering experience and a passion for innovation.