Senior Lead Data Engineer (People Tech)

Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast‑paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about marrying data with emerging technologies. As a Senior Lead Data Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One. People Tech is responsible for the digital transformation and operational excellence of Capital One’s corporate functions. Our core mission is to innovate and transform the Human Experience by providing robust technical solutions for a diverse portfolio, including HR, Legal, Brand, and Global Workplace Services. This mission is powered by our Engineering, Data, and Enablement Towers, which build scalable platforms and data‑driven insights necessary for long‑term stability and security. To ensure we move with purpose, our team connects the dots across the organization, driving architectural consistency and fostering an environment of experimentation. Together, we ensure that People Tech is not just executing tasks, but strategically evolving to meet the future needs of our associates and the enterprise. What You’ll Do Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full‑stack development tools and technologies. Lead a team of developers with deep experience in machine learning, distributed microservices, and full stack systems. Utilize programming languages like Java, Scala, Python and open‑source RDBMS and NoSQL databases and cloud‑based data warehousing services such as Redshift and Snowflake. Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community. Collaborate with digital product managers and deliver robust cloud‑based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment. Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance. Basic Qualifications Bachelor’s Degree. At least 6 years of experience in application development (internship experience does not apply). At least 2 years of experience in big data technologies. At least 1 year of experience with cloud computing (AWS, Microsoft Azure, Google Cloud). Preferred Qualifications Master’s Degree. 9+ years of experience in application development including Python, SQL, Scala, or Java. 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud). 5+ years of experience with distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL). 4+ years of experience working on real‑time data and streaming applications. 4+ years of experience with NoSQL implementation (Mongo, Cassandra). 4+ years of data warehousing experience (Redshift or Snowflake). 4+ years of experience with UNIX/Linux including basic commands and shell scripting. 2+ years of experience with Agile engineering practices. Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion. Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. Capital One promotes a drug‑free workplace and is an equal opportunity employer (EOE, including disability/vet), committed to non‑discrimination in compliance with applicable federal, state, and local laws. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23‑A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901‑4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. #J-18808-Ljbffr