Job description

Description The Lead Data Engineer at Capital One is a crucial player in transforming technology by solving complex business problems in a fast-paced and collaborative environment. As part of a dynamic team, you will work on the forefront of integrating data with emerging technologies to meet real customer needs. Your role will involve designing, developing, testing, and implementing technical solutions while collaborating with Agile teams. Company Culture and Environment At Capital One, the culture is centered around innovation, collaboration, and inclusion. The company encourages employees to be makers and doers, fostering an environment where creativity thrives and real-world problems are solved. Career Growth and Development Opportunities Capital One supports continuous learning and growth by encouraging employees to stay updated with tech trends and be actively involved in technology communities. Mentorship is a key aspect, allowing you to help fellow engineers while enhancing your own skills. Detailed Benefits and Perks Capital One provides a comprehensive and competitive set of health, financial, and other benefits that support overall well-being. Eligibility for specific benefits varies based on your employment status and management level. Compensation and Benefits • McLean, VA: \(193,400 - \)220,700 for Lead Data Engineer • Richmond, VA: \(175,800 - \)200,700 for Lead Data Engineer • Performance-based incentive compensation, which may include cash bonuses or long-term incentives • Comprehensive health and financial benefits Why you should apply for this position today This role offers an exciting opportunity to drive significant transformation at Capital One while working collaboratively with a talented team. You’ll contribute to powerful experiences that empower millions of Americans financially. Skills • Proficiency in programming languages such as Java, Scala, Python • Experience with Open Source RDBMS and NoSQL databases • Familiarity with cloud-based data warehousing services like Redshift and Snowflake • Strong understanding of Agile engineering practices • Ability to conduct rigorous unit tests and code reviews • Experience with big data technologies and distributed computing tools Responsibilities • Collaborate with Agile teams to design and develop technical solutions • Work with a team experienced in machine learning and distributed microservices • Deliver cloud-based solutions that enhance customer experiences • Perform unit tests and code reviews to ensure code quality • Stay on top of tech trends and mentor other engineers Qualifications • Bachelor’s Degree • At least 4 years of application development experience • At least 2 years of experience in big data technologies • At least 1 year of cloud computing experience (AWS, Azure, Google Cloud) Education Requirements • Bachelor’s Degree in a relevant field Education Requirements Credential Category • Bachelor’s Degree Experience Requirements • 4+ years in application development including Python, SQL, Scala, or Java • 4+ years with public cloud services • Experience with real-time data and streaming applications • Experience with NoSQL and data warehousing solutions Why work in Richmond, VA Richmond, VA, offers a unique blend of rich history, vibrant culture, and a growing tech scene. The city is known for its welcoming community and numerous opportunities for professional and personal growth. With a variety of outdoor activities, arts, and dining options, Richmond provides an enjoyable environment for work-life balance.

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