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9 Days Ago
McLean, VA, USA
Hybrid
55,000 Employees
3-5 Years of Experience
55,000 Employees
3-5 Years of Experience
Fintech • Machine Learning • Payments • Software • Financial Services
As a Senior Data Engineer at Capital One, you'll design and implement technical solutions in full-stack environments while collaborating with Agile teams. You'll work with various programming languages and tools, employ data engineering best practices, and contribute to real-time and big data solutions in a cloud-based environment.
Top Benefits:
401-K
401-K Matching
Adoption Assistance
+52 More
9 Days Ago
McLean, VA, USA
Hybrid
55,000 Employees
235K-268K Annually
7+ Years of Experience
55,000 Employees
235K-268K Annually
7+ Years of Experience
Fintech • Machine Learning • Payments • Software • Financial Services
Lead diverse technology projects and teams to create solutions for regulatory needs. Stay updated on tech trends, mentor engineers, and collaborate with product managers to deliver cloud-based solutions that enhance financial empowerment for customers.
Top Benefits:
401-K
401-K Matching
Adoption Assistance
+52 More
9 Days Ago
Atlanta, GA, USA
Hybrid
55,000 Employees
219K-250K Annually
5-7 Years of Experience
55,000 Employees
219K-250K Annually
5-7 Years of Experience
Fintech • Machine Learning • Payments • Software • Financial Services
As a Senior Manager of Data Engineering at Capital One, you will lead a team in developing cloud-based solutions and collaborate across Agile teams. You'll be responsible for mentoring engineers, overseeing application development and big data technologies, and ensuring robust coding standards. You'll leverage your experience with machine learning, multiple programming languages, and people management to drive impactful data initiatives.
Top Benefits:
401-K
401-K Matching
Adoption Assistance
+52 More
9 Days Ago
Cambridge, MA, USA
Hybrid
55,000 Employees
165K-200K Annually
5-7 Years of Experience
55,000 Employees
165K-200K Annually
5-7 Years of Experience
Fintech • Machine Learning • Payments • Software • Financial Services
As a Principal Data Scientist at Capital One, you will lead the use of advanced machine learning and data science methods to drive business outcomes. Responsibilities include building ML models, collaborating with product teams, conducting experiments, and operationalizing solutions in production systems handling large datasets.
Top Benefits:
401-K
401-K Matching
Adoption Assistance
+52 More
9 Days Ago
San Francisco, CA, USA
Hybrid
55,000 Employees
165K-200K Annually
5-7 Years of Experience
55,000 Employees
165K-200K Annually
5-7 Years of Experience
Fintech • Machine Learning • Payments • Software • Financial Services
As a Principal Data Scientist at Capital One, you will lead the development of machine learning models to improve customer experiences and business outcomes. You will research and apply emerging technologies in AI, engage with business and product teams, and ensure robust operational integration of models to serve millions of customers.
Top Benefits:
401-K
401-K Matching
Adoption Assistance
+52 More
9 Days Ago
McLean, VA, USA
Hybrid
55,000 Employees
165K-200K Annually
5-7 Years of Experience
55,000 Employees
165K-200K Annually
5-7 Years of Experience
Fintech • Machine Learning • Payments • Software • Financial Services
The Principal Data Scientist will conduct research and develop machine learning models, refine integration patterns for ML technologies, and collaborate with product and engineering teams. Responsibilities include building models, running experiments to improve customer experiences, and analyzing large datasets using various tools.
Top Benefits:
401-K
401-K Matching
Adoption Assistance
+52 More
9 Days Ago
McLean, VA, USA
Hybrid
55,000 Employees
188K-214K Annually
7+ Years of Experience
55,000 Employees
188K-214K Annually
7+ Years of Experience
Fintech • Machine Learning • Payments • Software • Financial Services
As a Lead Software Engineer at Capital One, you will lead diverse technology projects, mentor developers, and deliver cloud-based solutions while collaborating with product managers. You will also stay updated on tech trends and utilize various programming languages and frameworks.
Top Benefits:
401-K
401-K Matching
Adoption Assistance
+52 More
9 Days Ago
San Francisco, CA, USA
Hybrid
55,000 Employees
249K-284K Annually
5-7 Years of Experience
55,000 Employees
249K-284K Annually
5-7 Years of Experience
Fintech • Machine Learning • Payments • Software • Financial Services
As a Senior Lead Software Engineer at Capital One, you will lead diverse technology projects, mentor a team, and develop cloud-based solutions that address complex business problems. You will utilize your expertise in distributed microservices and work with a range of programming languages and AWS tools to create impactful solutions.
Top Benefits:
401-K
401-K Matching
Adoption Assistance
+52 More
9 Days Ago
San Francisco, CA, USA
Hybrid
55,000 Employees
165K-200K Annually
3-5 Years of Experience
55,000 Employees
165K-200K Annually
3-5 Years of Experience
Fintech • Machine Learning • Payments • Software • Financial Services
As a Senior Software Engineer at Capital One, you'll collaborate with Agile teams to design and develop full-stack solutions, mentor other engineers, and implement cloud-based technologies. You will work on innovative projects that improve customer financial experiences using modern programming languages and AWS tools.
Top Benefits:
401-K
401-K Matching
Adoption Assistance
+52 More
9 Days Ago
San Francisco, CA, USA
Hybrid
55,000 Employees
154K-200K Annually
3-5 Years of Experience
55,000 Employees
154K-200K Annually
3-5 Years of Experience
Fintech • Machine Learning • Payments • Software • Financial Services
As a Senior Software Engineer at Capital One, you will collaborate with Agile teams to design and develop full-stack technical solutions. You'll leverage your programming expertise and cloud technologies to create robust cloud-based solutions that empower users financially while staying engaged with emerging tech trends.
Top Benefits:
401-K
401-K Matching
Adoption Assistance
+52 More
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