Job description

Description As a Senior Data Engineer at Capital One, you will be pivotal in building and pioneering technology solutions that solve complex business problems. You will work within a fast-paced, collaborative, and inclusive environment, joining a team dedicated to driving significant transformations. Capital One is looking for Data Engineers who are enthusiastic about merging data with emerging technologies. Company Culture and Environment Capital One fosters a culture of collaboration and innovation, encouraging team members to solve real problems while supporting each other in an inclusive environment. You will be part of a vibrant community of makers and doers who prioritize continuous learning and experimentation with new technologies. Career Growth and Development Opportunities You will have the opportunity to participate in internal and external technology communities and mentor others within the engineering community. This role encourages staying abreast of tech trends, allowing for professional development and growth within your career. Detailed Benefits and Perks • Comprehensive health, financial, and other benefits supporting total well-being • Eligibility for performance-based incentive compensation, including cash bonuses and/or long-term incentives (LTI) • Opportunities for professional development and continuous learning • Inclusive workplace committed to diversity and equality Compensation and Benefits • McLean, VA: \(158,600 - \)181,000 for Senior Data Engineer • Richmond, VA: \(144,200 - \)164,600 for Senior Data Engineer • Salaries for part-time roles will be prorated based on agreed working hours. Why you should apply for this position today This is an exciting opportunity to shape the future of technology at a major financial institution. You will have the chance to work on impactful projects that empower millions of Americans, alongside a team that values innovation, collaboration, and growth. 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 • Understanding of machine learning and distributed microservices • Ability to work with Agile teams and drive effective technical solutions Responsibilities • Collaborate with Agile teams to design, develop, implement, and support technical solutions • Work with developers experienced in machine learning and full stack systems • Share knowledge and mentor team members • Deliver cloud-based solutions that enhance customer experiences • Conduct unit tests and code reviews to ensure high-quality code standards Qualifications • Bachelor’s Degree • At least 3 years of experience in application development (excludes internship experience) • At least 1 year of experience in big data technologies Education Requirements • Bachelor’s degree in a relevant field Education Requirements Credential Category • Bachelor’s Degree Experience Requirements • 5+ years of experience in application development, including Python, SQL, Scala, or Java • 2+ years of experience with public cloud services (AWS, Azure, Google Cloud) • Experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, MySQL) • 2+ years of experience working with real-time data and streaming applications • 2+ years of experience with NoSQL implementations (Mongo, Cassandra) • 3+ years of experience with UNIX/Linux commands and shell scripting • 2+ years of experience with Agile engineering practices Why work in Dover, DE Dover offers a quaint and rich historical backdrop, combined with a friendly community atmosphere. The city provides a unique blend of culture, outdoor activities, and local events, making it an attractive place to live and work. With its affordable living costs and access to various amenities, Dover also supports a balanced lifestyle that is conducive to both personal and professional growth.

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