Senior Data Engineer
Company: Capital One
Location: Plano
Posted on: November 19, 2024
Job Description:
Plano 7 (31067), United States of America, Plano, TexasSenior
Data EngineerDo you love building and pioneering in the technology
space? Do you enjoy solving complex business problems in a
fast-paced, 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
Data Engineer, you'll have the opportunity to be on the forefront
of driving a major transformation within Capital One. -In this
role, you will be working with the Data Science team and the
Enterprise platform team to develop loss forecasting models and
deploy on AWS EMR or ECS that enable all data engineers to expose
and deliver deep data insights for our product, operations, and
business teams to accurately forecast losses. You will be working
closely with your peers to build and maintain critical data
transform frameworks. Utilizing open source tools and inhouse
frameworks, as well as make our data applications and ecosystem
more resilient from cyber and data risks. This role will allow you
to showcase your technical leadership skills within and outside of
the team, plus lead initiatives coming in from different
stakeholders (Product, Business, Tech & Cyber). You will also have
the opportunity to mentor junior team members, share best practices
around architecture and design, and troubleshoot production
issues.What You'll Do:
- Be a part of team designing and building Enterprise Level
scalable, low-latency, fault-tolerant streaming data platform that
provides meaningful and timely insights
- Build the next generation Distributed Streaming Data Pipelines
and Analytics Data Stores using streaming frameworks (Flink, Spark
Streaming) using programming languages like Java, Scala,
Python
- Be part of a group of engineers building data pipelines using
big data technologies (Spark, Flink, Kafka, Snowflake, AWS Big Data
Services, Snowflake, Redshift) on medium to large scale
datasets
- Work in a creative & collaborative environment driven by agile
methodologies with focus on CI/CD, Application Resiliency
Standards, and partnership with Cyber & Security teams
- 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 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
- 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 3 years of experience in application development
(Internship experience does not apply)
- At least 1 year of experience in big data technologies
-Preferred Qualifications: -
- 5+ years of experience in application development including
Python, SQL, Scala, or Java
- 2+ years of experience with a public cloud (AWS, Microsoft
Azure, Google Cloud)
- 3+ years experience with Distributed data computing tools
(Kafka, Spark, Flink)
- 2+ year experience working on real-time data and streaming
applications -
- 2+ years of experience with NoSQL implementation (DynamoDB,
OpenSearch) -
- 2+ years of data warehousing experience (Redshift or Snowflake)
-
- 3+ years of experience with UNIX/Linux including basic commands
and shell scripting
- 2+ years of experience with Agile engineering practices -
- 1+ years of experience with Docker containers or KubernetesAt
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).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, Tyler , Senior Data Engineer, Engineering , Plano, Texas
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