Capital One Logo

Capital One

Lead Data Engineer, Data Mgmt Optimization - Shopping (Remote)

Posted 7 Days Ago
Remote
Hybrid
Hiring Remotely in McLean, VA
Mid level
Remote
Hybrid
Hiring Remotely in McLean, VA
Mid level
As a Lead Data Engineer, you will lead technical solutions for data analytics and management on a remote team focusing on vast data platforms, using tools like Java and Go, while collaborating with developers experienced in machine learning and cloud solutions.
The summary above was generated by AI

Locations: US Remote, United States of America
Lead Data Engineer, Data Mgmt Optimization - Shopping (Remote)
Interested in joining a dynamic remote first engineering team in a fast-paced environment full of greenfield problem-solving? Then Capital One Shopping might be the place for you. Join us in supporting a growth-stage line of business with a startup mindset as we build technology to save our customers money. Your role will involve working on data platforms that move billions of rows of data a day. You'll use languages like Java and Go and work with platforms like Hive, Trino, Cassandra, Kafka, and Nomad.
This is more than just a job; it's an opportunity to be part of a collaborative and forward-thinking community, where your contributions will make a significant impact in an ever-dynamic tech landscape. Join us as we push boundaries and redefine the future of our industry.
What You'll Do:

  • Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions for data analytics and management at scale
  • Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems
  • Utilize programming languages like Java, Go, and Python and data platforms such as Trino, Hive, and Kafka
  • 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


Basic 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:

  • 5+ years of experience in application development including Java, Go, or Python
  • 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)
  • 4+ year experience working on real-time data and streaming applications
  • 3+ years of experience with NoSQL implementation (Mongo, Cassandra)
  • 3+ years of experience with UNIX/Linux including basic commands and shell scripting
  • 2+ years of data warehousing experience (Redshift or Snowflake)
  • 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.
Remote (Regardless of Location): $170,700 - $194,800 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 [email protected] . 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 [email protected]
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).

Top Skills

Go
Java
Python

Similar Jobs at Capital One

16 Days Ago
McLean, VA, USA
Remote
Hybrid
55,000 Employees
Mid level
55,000 Employees
Mid level
Fintech • Machine Learning • Payments • Software • Financial Services
The Senior Business Analyst in BizOps will conduct complex analyses to drive revenue and performance for Capital One Shopping. This role involves identifying business challenges, performing product modeling/analytics, and collaborating with cross-functional teams to implement strategies aimed at scaling international business.
19 Days Ago
McLean, VA, USA
Remote
Hybrid
55,000 Employees
Junior
55,000 Employees
Junior
Fintech • Machine Learning • Payments • Software • Financial Services
The Senior Business Analyst will lead Revenue Modeling for Capital One's Shopping team. Responsibilities include building financial models, analyzing revenue streams, conducting complex analyses with SQL and Google Sheets, and collaborating with various teams to generate actionable insights and recommendations to drive growth and profitability.
Be an Early Applicant
19 Days Ago
McLean, VA, USA
Remote
Hybrid
55,000 Employees
Senior level
55,000 Employees
Senior level
Fintech • Machine Learning • Payments • Software • Financial Services
The Senior Machine Learning Engineer at Capital One will focus on developing and productionizing machine learning models and systems while collaborating with product and data science teams. Responsibilities include designing and implementing ML applications, optimizing data pipelines, and ensuring model performance and maintenance in production. The role involves leveraging various machine learning frameworks and cloud technologies.

What you need to know about the Dublin Tech Scene

From Bono and Oscar Wilde to today's tech leaders, Dublin has always attracted trailblazers, with more than 70,000 people working in the city's expanding digital sector. Continuing its legacy of drawing pioneers, the city is advancing rapidly. Ireland is now ranked as one of the top tech clusters in the region and the number one destination for digital companies, with the highest hiring intention of any region across all sectors.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account