Lead Data Engineer

Capital One Financial

Confirmed live today Low trust

Quick summary

Work type: On-site
Location: McLean, VANew York, NYRichmond, VA
Employment: Full-time
Posted: 54 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $172k

$123k $221k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $132,426–$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, Spark, Kafka, SQL, Snowflake, Databricks, GenAI) joins the Marketing and Messaging team to build scalable platforms for omnichannel messages in owned and paid Adtech channels. As a lead developer, you will collaborate across Agile teams to design, develop, test, and support technical solutions using data movement tools. You will build robust cloud-based solutions, optimize information systems for downstream consumers, and perform unit tests to ensure code is effectively tuned for performance. The role requires proficiency in Python, SQL, Spark, Kafka, Snowflake, Databricks, and AWS. You will also utilize Open Source RDBMS, NoSQL databases, and interactive AI tooling. This position focuses on data modeling, data quality, governance, and real-time streaming applications to deliver hyper-personalized customer experiences.

Skills

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

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 Spark with Snowflake and Databricks for data processing.
Optimize information systems for end-users and 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).
Master's Degree (preferred).
7+ years of experience in application development including Python, SQL, Spark, ETL tools, or AWS Glue (preferred).
4+ years of experience with a public cloud, distributed data tools, real-time streaming, NoSQL, data warehousing, UNIX/Linux, and data modeling (preferred).
2+ years of experience with Agile engineering practices (preferred).

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