Manager, Data Engineering (Python, AWS, Airflow, Snowflake) (Hybrid)
Company: Capital One
Location: Paris
Posted on: September 21, 2023
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Job Description:
Center 1 (19052), United States of America, McLean,
VirginiaManager, Data Engineering (Python, AWS, Airflow, Snowflake)
(Hybrid)We are looking for driven individuals to join our team of
passionate data engineers in creating Capital One's next generation
of data products and capabilities.----- You will build data
pipeline frameworks to automate high-volume and real-time data
delivery for our Hadoop and streaming data hub----- You will build
data APIs and data delivery services that support critical
operational and analytical applications for our internal business
operations, customers and partners----- You will transform complex
analytical models into scalable, production-ready solutions-----
You will continuously integrate and ship code into our on premise
and cloud Production environments----- You will develop
applications from ground up using a modern technology stack such as
Scala, Spark, Postgres, Angular JS, and NoSQL----- You will work
directly with Product Owners and customers to deliver data products
in a collaborative and agile
environment------Responsibilities:----- Lead and develop
sustainable data driven solutions with current new gen data
technologies to meet the needs of our organization and business
customers----- Master new technologies rapidly as needed to
progress varied initiatives----- Break down complex data issues and
resolve them----- Builds robust systems with an eye on the long
term maintenance and support of the application----- Leverage
reusable code modules to solve problems across the team and
organization----- Drive cross team design and influencing /
development via technical leadership / mentoring----- Influence
cross team/matrix organization----- Broader knowledge sharing-----
Provide technical guidance to team members----- Understands complex
multi-tier, multi-platform systems----- Manage a team of data
engineers (both full-time associates and/or third party
resources)------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)- At least 2 years of
people management experience------Preferred Qualifications:-----
Master's Degree----- 7+ years of experience in application
development (Python, SQL, Scala, or Java)- 4+ years of experience
with a public cloud (AWS, Microsoft Azure, Google Cloud)- 4+ 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- 4+ years of experience with
Agile engineering practicesAt this time, Capital One will not
sponsor a new applicant for employment authorization for this
position.--The minimum and maximum full-time annual salaries for
this role are listed below, by location. Please note that this
salary information is solely for candidates hired to perform work
within one of these locations, and refers to the amount Capital One
is willing to pay at the time of this posting. Salaries for
part-time roles will be prorated based upon the agreed upon number
of hours to be regularly worked.New York City (Hybrid On-Site):
$197,400 - $225,300 for Manager, Data EngineeringCandidates 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.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--. 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 committed to diversity and inclusion in the
workplace. All qualified applicants will receive consideration for
employment without regard to sex, race, color, age, national
origin, religion, physical and mental disability, genetic
information, marital status, sexual orientation, gender
identity/assignment, citizenship, pregnancy or maternity, protected
veteran status, or any other status prohibited by applicable
national, 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.comCapital 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, McKinney , Manager, Data Engineering (Python, AWS, Airflow, Snowflake) (Hybrid), Engineering , Paris, Texas
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