Lead Data Engineer — Real-Time Risk Tech (Python/AWS)

Capital One; Boston (MA); On-site; USD 140,000 - 190,000; Full time

Job summary

Capital One is seeking a Lead Data Engineer to join the Risk Tech space and drive real-time data solutions. You will collaborate with Agile teams and ML-focused developers to design, build, test, and deploy data-driven platforms that empower financial decisioning.

The role emphasizes working with Java, Scala, Python, and cloud data warehouses (Redshift/Snowflake), with opportunities to mentor peers and stay ahead of tech trends in a collaborative environment.

Qualifications

• Bachelor’s degree required.
• At least 4 years of application development experience.
• At least 2 years of experience in big data technologies.
• At least 1 year experience with cloud computing (AWS, Azure, Google Cloud).
• 7+ years of experience in application development including Python, SQL, Golang, Java or Scala.

Responsibilities

• Collaborate with and across 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.
• Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake.
• Share passion for staying on top of tech trends, experimenting with and learning new technologies, mentoring other members of the engineering community.
• Collaborate with digital product managers to deliver robust cloud-based solutions for millions of users.

Skills

Java

Scala

Python

SQL

NoSQL

Redshift

Snowflake

Kafka

Spark

MySQL

MapReduce

Flink

EMR

Shell scripting

Unix/Linux

Cloud platforms

Education

Bachelor’s Degree

Tools

AWS

Azure

Google Cloud

Redshift

Snowflake

Job description

Capital One is seeking a Lead Data Engineer to join the Risk Tech space and drive real-time data solutions. You will collaborate with Agile teams and ML-focused developers to design, build, test, and deploy data-driven platforms that empower financial decisioning.

The role emphasizes working with Java, Scala, Python, and cloud data warehouses (Redshift/Snowflake), with opportunities to mentor peers and stay ahead of tech trends in a collaborative environment.