Lead Data Engineer (Remote Eligible)
Company: Capital One
Location: Grand Prairie
Posted on: January 15, 2023
Job Description:
Locations: VA - McLean, United States of America, McLean,
VirginiaLead Data Engineer (Remote Eligible) 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. What You'll
Do:
- Collaborate with and across Agile teams and lines of businesses
to design, develop, test, implement, and support technical
solutions for data transformation using technologies such as Spark,
Scala, Python
- Work with a team of developers with deep experience in machine
learning, data engineering, distributed microservices, and full
stack systems
- Utilize programming languages like Scala, Java, Python and Open
Source RDBMS and NoSQL databases and Cloud based data warehousing
services such as Snowflake
- Lead a portfolio of diverse technology projects and a team of
developers with deep experience in distributed microservices, and
full stack systems to create solutions that help meet regulatory
needs for the company
- Share your passion for staying on top of tech trends,
experimenting with and learning new technologies, participating in
internal & external technology communities, mentoring other members
of the engineering community, and from time to time, be asked to
code or evaluate code
- 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 performance Capital One is open to hiring a
Remote Employee for this opportunity. 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) 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 streaming and
batch processing 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
- 2+ years of experience with REST API implementation At 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. Location is New York
City- $190,950 and $225,278 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. 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 ; 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- 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, Grand Prairie , Lead Data Engineer (Remote Eligible), Engineering , Grand Prairie, Texas
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