Join Capital One as a Senior Data Engineer in our Credit Card Technology Data Engineering Team, where we are building the future of financial services. This is an exciting opportunity to manage and leverage large volumes of sensitive, real-time and batch data that influences everything from fraud detection to customer reward systems and regulatory compliance.
As a distinguished engineer, you will not just be moving data; you will architect high-availability solutions that enhance customer experiences and secure billions in daily transactions. You'll be responsible for critical data domains, collaborating with teams like ML Scientists, Product Managers, and Business Analysts to address complex, high-stakes challenges using cutting-edge technologies such as Snowflake, Kafka, and AWS. If you thrive on technical challenges and are passionate about data integrity and delivering measurable impacts, this is the team for you.
Your role will involve attracting top industry talent while ensuring we develop innovative customer-oriented solutions using an iterative approach. Success in this position requires a creative mindset, a proven history of delivering advanced software and data products, analytical prowess, and a commitment to leveraging automation, machine learning, and predictive analytics for customer value.
Key Responsibilities:
• Drive awareness and adoption of modern technologies across teams.
• Foster a collaborative environment where diverse ideas are valued and heard.
• Promote engineering excellence through the reuse of solutions and driving best practices.
• Communicate effectively with key stakeholders at all organizational levels.
• Act as a trusted advisor on specific technologies or platforms, shaping use cases in a cohesive manner.
• Lead talent development by mentoring internal engineers and recruiting new talent.
Basic Qualifications:
• Bachelor's Degree.
• 7+ years of experience in data engineering.
• 3+ years of experience in data architecture.
• 2+ years of experience building applications in AWS.
Preferred Qualifications:
• Master's Degree.
• 9+ years of experience in data engineering.
• 3+ years of data modeling experience.
• 2+ years with ontology standards for domain definitions.
• 2+ years of experience using Python, SQL, or Scala.
• 1+ year of experience deploying machine learning models.
• 3+ years of implementing big data processing solutions on AWS.
Capital One is committed to providing a diverse workplace and is an equal opportunity employer. Employment offers will be made in accordance with applicable laws regarding criminal background inquiries.
For assistance related to your application or accommodations, please contact Capital One Recruiting via their official channels.
The position is based in various locations including Chicago, IL; McLean, VA; New York, NY; Richmond, VA; and San Francisco, CA.
