Lead Data Engineer

Capital One; Wilmington (DE); On-site; USD 179,400 - 204,700; Full time

Benefits offered by this job

Health benefits

Performance-based incentives

Inclusive workplace

Job summary

Capital One is looking for a Lead Data Engineer to join our Bank Tech Data, Decisioning, & Market Services Domain in Wilmington, DE. This role is integral in building the infrastructure to convert data into actionable insights and AI-driven decisions. The candidate will engage in full-stack development within Agile teams, ensuring high-performance solutions that empower financial decisions for millions.

An ideal candidate should have a Bachelor’s degree and substantial experience in application development, big data technologies, and cloud computing. Join us to innovate and lead impactful data solutions!

Qualifications

• 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).

Responsibilities

• Collaborate with Agile teams for full-stack technical solutions.
• Work with experienced developers in machine learning and distributed systems.
• Utilize programming languages like Java, Scala, and Python.
• Deliver robust cloud-based solutions for financial empowerment.
• Perform unit tests and code reviews.

Skills

Application development

Machine learning

Big data technologies

Cloud computing

Distributed systems

Programming (Java, Scala, Python)

Agile engineering practices

Education

Bachelor’s Degree

Tools

AWS

Microsoft Azure

Google Cloud

NoSQL databases

Redshift

Snowflake

SQL

Hadoop

Spark

Kafka

Job description

Lead Data Engineer

The Bank Tech Data, Decisioning, & Market Services Domain serves as the analytical engine of the bank, building the infrastructure that turns data into smart, fast decisions. We integrate data and AI capabilities into a single, cohesive platform that supports our business and capital market teams. Our focus is on creating a modern data architecture that allows us to leverage information responsibly, providing the predictive insights needed to deliver better outcomes for our clients. Looking ahead, our imperatives are centered on evolving our predictive insights and scaling our AI‑driven decisioning models.

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+ years 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.

Salary & Incentives

Wilmington, DE: $179,400 – $204,700 for Lead Data Engineer. 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.

Benefits

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.

Immigration Sponsorship

Capital One will not sponsor a new applicant for employment authorization, or offer any immigration‑related support for this position.

Equal Opportunity Employer

Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non‑discrimination in compliance with applicable federal, state, and local laws.

Drug‑Free Workplace

Capital One promotes a drug‑free workplace.