Job description

Description The Senior Data Engineer will play a crucial role in building and pioneering innovative technology solutions at Capital One. If you are passionate about solving complex business challenges and enjoy working in a collaborative and iterative delivery environment, this position is for you. As part of the Enterprise Platforms Technology (EPTech) team, you will be at the forefront of driving significant transformation within the company, working with a dedicated group of creators and disruptors to meet real customer needs. Company Culture and Environment Capital One fosters an inclusive, collaborative, and innovative work environment. The team values diversity and encourages experimentation with new technologies. Employees are passionate about learning and mentoring, creating a supportive atmosphere for professional growth. Career Growth and Development Opportunities As a Data Engineer, you will have the chance to stay on top of technology trends, participate in technology communities, and mentor fellow engineers. This role provides opportunities for continuous learning and career advancement within the dynamic field of data engineering. Detailed Benefits and Perks Capital One offers a comprehensive and competitive package of health, financial, and other benefits that support your overall well-being. More information can be found on the Capital One Careers website. Compensation and Benefits • McLean, VA: \(158,600 - \)181,000 for Senior Data Engineer • Richmond, VA: \(144,200 - \)164,600 for Senior Data Engineer • Eligible for performance-based incentive compensation, which may include cash bonuses and/or long-term incentives • Comprehensive health benefits • Opportunities for professional development Why you should apply for this position today This role offers a unique opportunity to contribute to impactful projects that empower millions of Americans. Join a team that values technology and collaboration to create solutions that truly make a difference. Skills • Proficiency in programming languages such as Python and SQL • Experience with big data technologies and cloud environments (AWS, Azure, Google Cloud) • Familiarity with distributed data/computing tools (MapReduce, EMR, Kafka, Spark) • Knowledge of NoSQL databases (Mongo, Cassandra) • Understanding of data warehousing solutions (Redshift, Snowflake) • UNIX/Linux command proficiency and shell scripting • Agile engineering practices Responsibilities • Collaborate across Agile teams to design, develop, test, and implement technical solutions • Work with experienced developers in machine learning and full-stack systems • Share your knowledge of tech trends and mentor team members • Deliver robust cloud-based solutions that enhance customer experiences • Conduct unit tests and code reviews to ensure high-quality development Qualifications • Bachelor’s Degree • At least 3 years of experience in application development (internship experience not applicable) • At least 1 year of experience with big data technologies Education Requirements • Bachelor’s degree in a relevant field Education Requirements Credential Category • Degree in Computer Science, Engineering, or a related discipline Experience Requirements • 5+ years in application development, including Python and SQL • 2+ years with public cloud services • 3+ years with distributed data tools • 2+ years of experience with real-time data applications • 2+ years of experience in NoSQL implementation and data warehousing Why work in Richmond, VA Richmond offers a vibrant blend of history, culture, and modern amenities, making it an attractive place to live and work. With its growing tech scene, beautiful parks, and diverse culinary options, Richmond provides a supportive environment for both personal and professional growth.

Requirements