Lead Data Engineer

Capital One Financial

Confirmed live yesterday Low trust

Quick summary

Work type: On-site
Location: McLean, VAChicago, IL
Employment: Full-time
Posted: 49 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $170k

$118k $221k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $127,991–$211,200.

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 2107 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 1107 roles with salary data.

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At a glance

TL;DR · Lead Data Engineer

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The Lead Data Engineer (Python, AWS, SQL, GenAI) (Enterprise Platforms Technology) joins the Marketing and Messaging team to build scalable platforms for omnichannel messages across owned and paid Adtech channels. As a lead developer, you will collaborate with Agile teams to design, develop, test, and support technical solutions for data movement and distributed computing. You will build robust cloud-based solutions, optimize information systems using sound data design practices, and perform rigorous unit tests. The role requires proficiency in Python, SQL, Spark, and ETL tools, alongside experience with AWS, Snowflake, Databricks, and NoSQL databases like Mongo or Cassandra. You will also utilize AI-assisted coding tools to accelerate software delivery while managing data modeling, governance, and real-time streaming applications within a complex financial services environment.

Skills

Python SQL AWS Snowflake Databricks Spark Kafka NoSQL Redshift ETL Hadoop Hive EMR MapReduce Cassandra Mongo MySQL UNIX Linux Agile GenAI

What you'll do

Design, develop, test, and support technical solutions using data movement tools and technologies.
Lead a team of developers in building distributed computing and full-stack systems.
Utilize Python, SQL, and Snowflake or Databricks to build and manage data pipelines.
Optimize information systems for downstream consumers using sound data design practices.
Deliver robust cloud-based solutions to drive personalized customer experiences.
Perform unit tests and conduct code reviews to ensure performance and design quality.
Mentor other members of the engineering community on new technologies and tech trends.

What we're looking for

At least 4 years of experience in application development.
At least 2 years of experience in big data technologies.
At least 1 year of experience with cloud computing (AWS, Microsoft Azure, Google Cloud).
7+ years of experience in application development including Python, SQL, Spark, ETL tools, and AWS Glue (preferred).
4+ years of experience with a public cloud, distributed data/computing tools, real-time data, NoSQL, data warehousing, and UNIX/Linux (preferred).
4+ years of experience with data modeling for data warehousing (preferred).
2+ years of experience with Agile engineering practices (preferred).
Bachelor’s Degree.

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