Senior Data Engineer - Cloud & ML Systems

capitalone

McLean (VA)

On-site

USD 197,300 - 225,100

Full time

14 days+

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Job summary

Capital One is seeking a Lead Data Engineer to drive a major technology transformation. You will design, develop, test, and support data-driven solutions across a modern tech stack including Java, Scala, Python, and cloud data warehouses.

Collaborate with ML, microservices, and full-stack teams to deliver impactful experiences for customers nationwide. The role emphasizes mentorship, staying ahead of tech trends, and delivering scalable, robust systems while ensuring performance through rigorous

Qualifications

Bachelor’s Degree is required.
4+ years in application development (internships excluded).
2+ years in big data technologies.
1+ year in cloud computing (AWS, Azure or GCP).
Experience with Python, SQL, Scala or Java is preferred.
4+ years in cloud, distributed data tools, streaming and NoSQL.
4+ years in data warehousing with Redshift or Snowflake.

Responsibilities

Collaborate with Agile teams to design and implement full-stack solutions.
Work with teams experienced in ML, distributed microservices, and full-stack systems.
Use Java, Scala, Python and various databases and cloud data warehousing services.
Mentor engineers, stay current with tech trends, and participate in technology communities.
Deliver cloud-based solutions for scalable user experiences for millions.
Perform unit tests and code reviews to ensure performance and quality.