Senior Lead Data Engineer (Bank Tech)Capital One National Association • Wilmington, North Carolina, United States
Senior Lead Data Engineer (Bank Tech)
Capital One National Association
- Wilmington, North Carolina, United States
- Wilmington, North Carolina, United States
À propos
About the team: 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
Lead a team of developers with deep experience in machine learning, distributed microservices, and full stack systems
Utilize programming languages like Python and Java 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
9+ years of experience in application development including Python, SQL, 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
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.
McLean, VA: $229,900 – $262,400 for Sr. Lead Data Engineer
Wilmington, DE: $209,000 – $238,500 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.
RecruitingAccommodation@capitalone.com
Careers@capitalone.com
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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Compétences linguistiques
- English
Avis aux utilisateurs
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