Senior Lead Data Engineer (Enterprise Platform Technology) (Java, Python, Scala, AWS)

Capital One

McLean (VA)

On-site

USD 229,900 - 262,400

Full time

14 days+

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Benefits offered by this job

Comprehensive health benefits
Performance-based incentive compensation
Inclusive workplace culture

Job summary

A prominent financial services company in McLean, VA, is seeking a Sr. Lead Data Engineer to solve complex business problems through technology. You will lead developer teams, leverage cloud computing, and enhance data-driven solutions. The ideal candidate has extensive experience in application development, big data technologies, and cloud services like AWS or Azure. Salary ranges from $229,900 to $262,400, plus performance-based incentives. Join us to empower millions of customers financially and thrive in a collaborative environment.

Qualifications

  • 6+ years of experience in application development.
  • 2+ years of experience in big data technologies.
  • 1+ year of experience with cloud computing (AWS, Azure, Google Cloud).

Responsibilities

  • Collaborate with Agile teams to design and support technical solutions.
  • Lead a team of developers experienced in machine learning and full stack systems.
  • Deliver robust cloud-based solutions to help Americans achieve financial empowerment.

Skills

Application development
Big data technologies
Cloud computing
AI-assisted coding tools
Data warehousing
UNIX/Linux
Agile engineering practices

Education

Bachelor's Degree
Master's Degree

Tools

Java
Scala
Python
SQL
AWS
Redshift
Snowflake
Kafka
Hadoop
Spark

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.

Team

The Marketing and Messaging team is responsible for delivering hyper-personalized messages and experiences that will delight the customer, attract prospects and drive increasing business value. The team builds scalable platforms that deliver omnichannel messages in owned and paid Adtech channels.

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
  • Lead 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 6 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
  • Master's Degree
  • 1+ years of experience leveraging AI-assisted coding tools (Claude Code, GitHub Copilot) to accelerate the software delivery
  • 9+ 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)
  • 5+ 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

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

Salary information (mid-year ranges):

McLean, VA: $229,900 - $262,400 for Sr. Lead Data Engineer

New York, NY: $250,800 - $286,200 for Sr. 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.

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.

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.

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