Lead Data Engineer (Python/Scala, Spark, AWS)
Company: Capital One
Location: New York
Posted on: January 20, 2025
Job Description:
Lead Data Engineer (Python/Scala, Spark, AWS)Do 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
Lead Data Engineer, you'll have the opportunity to be on the
forefront of driving a major transformation within Capital One.
-The Lead Data Engineer sits within the Card Data Organization &
the Data Foundations group, our team works on the foundational
capabilities of how data should be produced and consumed. These
foundational capabilities include a variety of initiatives as well
as AI Assist Tools to enable us to speed the production &
consumption of data. The teams are involved in migrating our Batch
workloads to the new publishing platform for improved governance
and observability. - Our environment involves Batch Pipelines
involving core technologies such as Scala, Python, Spark, EMR,
Glue, Airflow, Step Functions, Delta, Uniform Catalog, Iceberg,
DynamoDB amongst many others. On a day to day basis this team
tackles problems of massive scale, critical data footprint that has
bottom line business impact, resiliency & availability requiring
the best techniques within Big Data Analytics and Machine Learning
all while providing a superior analyst experience on our tool.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
- Work with a team of developers with deep experience in machine
learning, distributed microservices, and full stack systems
- Utilize programming languages like Java, Scala, Python 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 performanceBasic Qualifications: -
- Bachelor's Degree -
- At least 4 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:
- 7+ 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)
- 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
- 2+ years of experience with Agile engineering practices -At
this time, Capital One will not sponsor a new applicant for
employment authorization, or offer any immigration related support
for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1,
TN, or another type of work authorization).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.Chicago, IL: $175,800 - $200,700 for Lead Data Engineer
-McLean, VA: $193,400 - $220,700 for Lead Data Engineer -New York,
NY: $211,000 - $240,800 for Lead Data Engineer -Plano, TX: $175,800
- $200,700 for Lead Data Engineer -Richmond, VA: $175,800 -
$200,700 for Lead Data Engineer - - - - - -Candidates 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 -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 . 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, East Orange , Lead Data Engineer (Python/Scala, Spark, AWS), Engineering , New York, New Jersey
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