Lead Data Engineer

Capital One National Association; New York (NY); On-site; USD 215,200 - 245,600; Full time

Job summary

Capital One in New York, NY is hiring a Lead Data Engineer to join Risk Tech. You’ll design and deploy data-driven, AI-enhanced risk solutions, collaborating with agile teams across the tech stack and product groups.

You’ll work with Java, Scala, Python, and modern data stores in cloud environments, building scalable, real-time data pipelines and ML-enabled tools to empower financial decisions at scale.

Qualifications

• Bachelor’s degree required.
• 4+ years in application development.
• 2+ years in big data technologies.
• 1+ year cloud experience.

Responsibilities

• Collaborate with Agile teams to design, develop, test, and support solutions.
• Work with ML, distributed microservices, and full-stack systems.
• Use Java/Scala/Python; work with RDBMS and NoSQL; cloud data warehousing.
• Share knowledge, mentor teammates, and stay current with tech trends.
• Partner with product managers to deliver cloud-based experiences for users.
• Perform unit tests and code reviews for robust, performant solutions.

Skills

Python

SQL

Scala

Java

Machine learning

Big data

Education

Bachelor’s Degree

Tools

AWS

Azure

Google Cloud

Redshift

Snowflake

Hadoop

Kafka

Spark

MongoDB

Cassandra

Job description

Lead Data Engineer

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.

In Risk Tech, we provide the foundation for Capital One to thrive in an uncertain world. Our engaged, empowered, and intelligent people produce outstanding products, working toward the common goal of transforming risk management with technology. We build data-driven tools that use machine learning to prevent risks & automatically detect issues before they impact our customers, our business, or our communities.

In this role at Risk Tech, you will work with our GRC team and partners across the company to build and deploy proprietary solutions for Risk management that are powered by state-of-the-art AI technology. Our products, enhanced with the transformative power of AI, are central to our business and deliver tremendous customer value.

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, Scala, or Java
• 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)
• 4+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL)
• 4+ year experience working on real-time data and streaming applications
• 4+ years of experience with NoSQL implementation (Mongo, Cassandra)
• 4+ years of data warehousing experience (Redshift or Snowflake)
• 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 (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer).

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

New York, NY: $215,200 - $245,600 for Lead Data Engineer

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.

Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.