Senior Lead Data Engineer (Enterprise Platforms Technology)

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 Senior Lead Data Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One.

• 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

• At least 6 years of experience in application development (Internship experience does not apply)

• At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)

• 5+ years of experience in Marketing data activation and orchestration (audience segmentation, experimentation, and real-time personalization)

• 9+ years of experience in application development including Python, SQL, Scala, or Java

• 4+ years of experience with a public cloud (AWS preferred, Microsoft Azure, Google Cloud)

• 5+ years of experience building scalable data processing pipelines using Spark, AWS Glue, and event-driven architectures (Kafka/Event Streams)

• 4+ years of experience optimizing high-scale data lakehouse/warehousing solutions (Databricks, Snowflake, or Redshift) with advanced query tuning capabilities.

• Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion

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

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.

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.

No agencies please. 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.