Lead Data Engineer

Capital One Financial

Confirmed live today Low trust

Quick summary

Work type: On-site
Location: New York, NYSan Francisco, CAMcLean, VARichmond, VAPlano, TX
Employment: Full-time
Posted: 47 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 $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. Working within Enterprise Platforms Technology, you will collaborate with Agile teams to design, develop, test, and support technical solutions in a full-stack environment. You will build robust cloud-based solutions using Java, Scala, Python, and SQL, while utilizing Open Source RDBMS, NoSQL databases, and cloud data warehousing services like Redshift and Snowflake. Key responsibilities include performing unit tests, conducting code reviews, and mentoring other engineers. The role addresses the technical challenge of delivering hyper-personalized customer experiences by integrating big data technologies, distributed microservices, and real-time streaming applications within a complex enterprise infrastructure.

Skills

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

What you'll do

Design, develop, test, implement, and support technical solutions using full-stack development tools.
Build scalable platforms to deliver omnichannel messages across owned and paid Adtech channels.
Develop robust cloud-based solutions using Java, Scala, Python, and SQL.
Manage data warehousing services including Redshift and Snowflake.
Perform unit tests and conduct code reviews to ensure performance and design quality.
Implement distributed microservices and real-time data streaming applications.
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).
1+ years of experience leveraging AI-assisted coding tools (preferred).
7+ years of experience in application development including Python, SQL, Scala, or Java (preferred).
4+ years of experience with public cloud, distributed data tools, real-time streaming, NoSQL, data warehousing, UNIX/Linux, and data modeling (preferred).

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