Senior Lead Data Engineer
Company: Capital One
Location: Chelsea
Posted on: April 24, 2024
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Job Description:
West Creek 3 (12073), United States of America, Richmond,
VirginiaSenior Lead Data EngineerDo 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. TEAM As a Senior Lead Engineer
in Finance tech you will be responsible for working collaboratively
across Finance, Capital One Lines of Business and Enterprise
Functions to develop patterns, playbooks and tools to support
standards, create and review target data models in support of
Finance and Enterprise goals. The Senior Lead Data will be
responsible for partnering with Technology, Machine Learning,
Product Architecture, and other Capital One teams to support the
development of the Finance Tech Data Strategy into products and
services we create and consume. What You'll Do: Collaborate with
and across Agile teams to design, develop, itdetest, 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 SQL, Python and tools like
databricks, iceberg, presto, graphql and Cloud based data
technologies 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 data product
managers, and deliver robust cloud-based solutions that drive
powerful data experiences Develop unit testing guidelines and
conduct reviews with other team members to make sure your code is
rigorously designed, elegantly coded, and effectively tuned for
performance Mentor and develop engineering associates to help scale
data product development and consumption efforts across the Finance
organization. Develop relationships with key stakeholders, peers in
our Enterprise Architecture and Data engineering teams. Make and
document key modeling principles and provide guidance to help
engineering teams establish and design to target. Review delivery
team designs and assess alignment with target architecture, data
strategy and relevant policies Own design and data governance
decisions in partnership with the Divisional Chief Architect and
peer architects. Develop standards for publishing, modeling and
protecting data Own and prioritize the long-term (12-18 months)
Data Product delivery roadmap to deliver on business outcomes,
working closely with a cross-functional team to ensure that all the
right resources are aligned to ensure that and your team will be
successful Understand how ontology and data models fits into the
larger ecosystem, anticipating impacts from changes in other parts
of the business Work closely with tech leadership and architecture
to understand the tradeoffs of technical decisions and how they
impact Ontology and Data modeling as well as consumers Basic
Qualifications: Bachelor's Degree At least 8 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, Scala,
or Java 4+ years of experience with a public cloud (AWS, Microsoft
Azure, Google Cloud) 5+ years experience with Distributed
data/computing tools (Hadoop, Hive, EMR, Kafka, Spark) 4+ year
experience working on real-time data and streaming applications 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 devops experience 2+ years of
experience with graphQL experience 2+ years of experience with
Agile engineering practices Capital One will consider sponsoring a
new qualified applicant for employment authorization for this
position. 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.No
agencies please. Capital One is an equal opportunity employer
committed to diversity and inclusion in the workplace. All
qualified applicants will receive consideration for employment
without regard to sex (including pregnancy, childbirth or related
medical conditions), race, color, age, national origin, religion,
disability, genetic information, marital status, sexual
orientation, gender identity, gender reassignment, citizenship,
immigration status, protected veteran status, or any other basis
prohibited under applicable federal, state or local law. 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.If you have
visited our website in search of information on employment
opportunities or to apply for a position, and you require an
accommodation, please contact Capital One Recruiting at
1-800-304-9102 or via email at
RecruitingAccommodation@capitalone.com. All information you provide
will be kept confidential and will be used only to the extent
required to provide needed reasonable accommodations. For technical
support or questions about Capital One's recruiting process, please
send an email to Careers@capitalone.com Capital One does not
provide, endorse nor guarantee and is not liable for third-party
products, services, educational tools or other information
available through this site. Capital One Financial is made up of
several different entities. Please note that any position posted in
Canada is for Capital One Canada, any position posted in the United
Kingdom is for Capital One Europe and any position posted in the
Philippines is for Capital One Philippines Service Corp.
(COPSSC).
Keywords: Capital One, Leominster , Senior Lead Data Engineer, Engineering , Chelsea, Massachusetts
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