Sr. Distinguished Data Engineer
Company: Capital One
Location: Fort Worth
Posted on: April 15, 2024
Job Description:
West Creek 4 (12074), United States of America, Richmond,
VirginiaSr. Distinguished Data EngineerDistinguished Engineers are
individual contributors who strive to be diverse in thought so we
visualize the problem space. At Capital One, we believe diversity
of thought strengthens our ability to influence, collaborate and
provide the most innovative solutions across organizational
boundaries. Distinguished Engineers will significantly impact our
trajectory and devise clear roadmaps to deliver next generation
technology solutions.This role will be leading the development and
implementation plan for our Technology Data Excellence tower,
working to develop strategies to optimize our application data
architecture design and our data governance practices for
operations and telemetry data. - - -As a candidate for this role,
you're able to seamlessly switch from diving deep into technology
with engineers to driving high-level, strategic discussions. You
are a naturally curious technologist and stay on top of emerging
trends, including prototyping of nascent technologies. You are not
afraid to question any existing processes and solutions, yet you
display a keen sense of business value proposition and focus on the
right priorities.
- Deep technical experts and thought leaders that help accelerate
adoption of the very best engineering practices, while maintaining
knowledge on industry innovations, trends and practices
- Visionaries, collaborating on Capital One's toughest issues, to
deliver on business needs that directly impact the lives of our
customers and associates
- Role models and mentors, helping to coach and strengthen the
technical expertise and know-how of our engineering and product
community
- Evangelists, both internally and externally, helping to elevate
the Distinguished Engineering community and establish themselves as
a go-to resource on given technologies and technology-enabled
capabilitiesResponsibilities:
- Build awareness, increase knowledge and drive adoption of
modern technologies, sharing consumer and engineering benefits to
gain buy-in
- Strike the right balance between lending expertise and
providing an inclusive environment where others' ideas can be heard
and championed; leverage expertise to grow skills in the broader
Capital One team
- Promote a culture of engineering excellence, using
opportunities to reuse and innersource solutions where
possible
- Effectively communicate with and influence key stakeholders
across the enterprise, at all levels of the organization
- Operate as a trusted advisor for a specific technology,
platform or capability domain, helping to shape use cases and
implementation in an unified manner
- Lead the way in creating next-generation talent for Tech,
mentoring internal talent and actively recruiting external talent
to bolster Capital One's Tech talentBasic Qualifications:
- Bachelor's Degree
- At least 9 years of experience in data engineering
- At least 5 years of experience in data architecture
- At least 2 years of experience building applications in
AWSPreferred Qualifications:
- Masters' Degree
- 3+ years of data modeling experience
- 2+ years of experience with ontology standards for defining a
domain
- 2+ years of experience using Python, SQL or Scala
- 1+ year of experience deploying machine learning models
- 3+ years of experience implementing data processing solutions
on AWSCapital 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 ; 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 or via email at . 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 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, Arlington , Sr. Distinguished Data Engineer, Engineering , Fort Worth, Texas
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