Lead Data Engineer (Python, AWS, SQL, GenAI) (Enterprise Platforms Technology)

Capital One Financial

Quick summary

Work type
On-site
Location
McLean, VA · Chicago, IL
Salary
$179,400–$204,700 / yr
Posted
8 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $182k
This role $192k
$139k most similar roles pay here $234k

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

About Capital One Financial

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

View all roles at Capital One Financial

At a glance

TL;DR · Lead Data Engineer (Python, AWS, SQL, GenAI) (Enterprise Platforms Technology)

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.

What you'll do

  • Design and implement data pipelines using Python, SQL, and AWS Glue.
  • Ensure high data quality and governance across all data initiatives.
  • Build scalable distributed computing solutions with tools like Spark and Hadoop.
  • Integrate emerging technologies into existing data infrastructure for innovation.
  • Collaborate on the development of efficient ETL processes to support business needs.

What we're looking for

  • 7+ years of experience in application development with Python and SQL.
  • 4+ years of experience with distributed data/computing tools like Hadoop, Spark, Kafka.
  • Strong proficiency in AWS Glue and ETL tools.
  • Bachelor’s Degree required.
  • Experience with data modeling, data quality, governance, and permissible use.
  • Knowledge of emerging technologies and building data pipelines.

More like this

Similar roles