Lead Data Engineer (Python, AWS, SQL, GenAI) (Enterprise Platforms Technology)
Capital One Financial
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How this pay compares to similar roles
This role pays less than 51% of similar roles. Most pay $148,115–$216,300 — the shaded band above. At the midpoint, this role pays about $192k versus about $182k for comparable roles.
Based on 240 similar postings.
Employer
Capital One Financial is a bank holding company specializing in credit cards, auto loans, banking, and savings products, known for its data-driven approach to consumer and commercial finance. Industry: Financial Services & Banking
Capital One Financial currently has 798 open roles on FindRole.
Listed pay typically runs $197,300–$225,100 across 791 roles with salary data.
Most-posted roles
At a glance
We are seeking a Senior Data Engineer to join our Enterprise Platforms Technology team in Chicago or McLean. This role involves designing and building scalable data pipelines using Python, SQL, AWS Glue, and other distributed computing tools such as Spark and Kafka. You will be responsible for ensuring high-quality data governance and compliance while leveraging emerging technologies like GenAI. Ideal candidates have 7+ years of experience in application development with a strong background in Python, SQL, ETL processes, and cloud services on AWS. Additionally, proficiency in distributed data computing tools such as Hadoop, Hive, EMR, and MySQL is preferred to handle large-scale datasets efficiently.
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