Senior Lead Data Engineer
Company: Capital One
Location: Washington
Posted on: September 27, 2024
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.TEAMAs 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 consumersBasic
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 -. 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 . 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, Washington DC , Senior Lead Data Engineer, Engineering , Washington, DC
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