Lead Data Engineer - 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

Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about marrying data with emerging technologies. As a Capital One Lead Data Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One.

Risk Tech is responsible for transforming risk management into a real time, intelligent discipline powered by modern products and technical capabilities. Our mission is divided into two primary functional pillars: Risk Management Tech (RMT), which develops the frameworks and tools for monitoring risks, testing controls, and managing regulatory requirements; and AML and Compliance Tech (ACT), which ensures our products are delivered ethically and in strict compliance with BSA/AML regulations and global laws.

Reinforcing these pillars are our commitment to Architecture & Engineering Excellence. Our Architecture team bridges the gap between business strategy and technical execution through a customer centric, domain oriented lens, while our Engineering Excellence team empowers our talent to build better, more resilient systems every day. Together, we ensure that Risk Tech isn't just a safeguard - it’s a competitive advantage.

What You’ll Do:

• 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 your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community
• Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment
• Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance

Basic Qualifications:

• Bachelor’s Degree
• At least 4 years of experience in application development (Internship experience does not apply)
• At least 2 years of experience in big data technologies
• At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)

Preferred Qualifications:

• 7+ years of experience in application development including Python, SQL, Golang, Java or Scala
• 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)
• 4+ years experience with Distributed data/computing tools (MapReduce, Flink, EMR, Kafka, Spark, or MySQL)
• 4+ year experience working on real-time data and streaming applications
• 4+ years of experience with SQL implementation(PostgreSQL) and NoSQL implementation (DynamoDB)
• 4+ years of data warehousing experience (Snowflake or Redshift)
• 4+ years of experience with UNIX/Linux including basic commands and shell scripting
• 2+ years of experience with Agile engineering practices
• Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion

At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer).