Data Engineer

About The Company
Ever since our first credit card customer in 1994, Capital One has recognized that technology and data can enable even large companies to be innovative and personalized. As one of the first large enterprises to go all-in on the public cloud, Capital One needed to build cloud and data management tools that didn't exist in the marketplace to enable us to operate at scale in the cloud. In 2022, we publicly announced Capital One Software and brought our first B2B software solution, Slingshot, to market.

We are committed to fostering innovation and technological excellence, and we seek top-tier talent to join our pioneering team. Our team comprises innovative product, technology, and design leaders who tirelessly challenge the status quo to develop cutting-edge solutions. By joining us as a Distinguished Data Engineer, you will have the opportunity to be at the forefront of building impactful business tools and bringing these solutions to market, shaping the future of data management in the cloud.

About The Role
The Distinguished Data Engineer role at Capital One Software offers a unique opportunity to lead the development and implementation of advanced data engineering solutions. You will be instrumental in driving the adoption of modern data technologies, collaborating across teams to solve complex business challenges, and influencing enterprise-wide data strategies. Your expertise will help shape the architecture and deployment of scalable data platforms, ensuring they meet the evolving needs of our business and customers. This position requires a strategic thinker with a deep understanding of data architecture, cloud technologies, and machine learning deployment, capable of mentoring others and fostering a culture of engineering excellence.

Qualifications

• Bachelor's Degree in Computer Science, Engineering, or a related field
• Minimum of 7 years of experience in data engineering
• At least 5 years of experience in data architecture
• Proficiency in programming languages such as Python, Java, Go, and SQL
• Experience with data streaming and processing tools like Kafka, Airflow, Spark, AWS Glue/Kinesis
• Hands-on experience with Databricks or Snowflake cloud data platforms
• Experience deploying machine learning models (preferred)
• Strong communication and stakeholder management skills
• Ability to operate as a trusted advisor and influence enterprise data strategies

Responsibilities

• Build awareness, increase knowledge, and drive adoption of modern data technologies, articulating benefits to both consumers and engineering teams
• Collaborate with cross-functional teams to address complex business challenges, delivering impactful solutions that enhance customer and associate experiences
• Balance technical expertise with an inclusive environment where team ideas are valued and championed
• Promote a culture of engineering excellence by encouraging reuse and open-source solutions where appropriate
• Communicate effectively with stakeholders at all organizational levels, influencing data strategy and implementation
• Operate as a trusted advisor for specific technology domains, shaping use cases and deployment strategies
• Mentor internal talent and actively participate in recruiting efforts to develop next-generation data engineering skills within the organization

Benefits

• Competitive salary range with performance-based incentives
• Comprehensive health, dental, and vision insurance plans
• Retirement savings plans with company contributions
• Generous paid time off and holidays
• Flexible work arrangements, including remote work options
• Opportunities for professional development and career growth
• Inclusive and collaborative workplace culture

Equal Opportunity

Capital One is an equal opportunity employer committed to diversity and inclusion. We do not discriminate based on race, color, religion, sex, national origin, age, disability, veteran status, or any other protected characteristic under applicable law. We promote a drug-free workplace and consider qualified applicants with criminal histories in a manner consistent with applicable laws, including the Fair Chance Act and other relevant statutes.