Senior Lead Data Engineer, Enterprise Platform Technology

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 $185k

$142k $234k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $155,337–$214,000.

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 · Senior Lead Data Engineer, Enterprise Platform Technology

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The Senior Lead Data Engineer (Enterprise Platform Technology) (Java, Python, Scala, AWS) joins the Marketing and Messaging team to build scalable platforms for omnichannel messages in owned and paid Adtech channels. This role involves leading a team of developers to design, develop, test, and support technical solutions within a full-stack development environment. Key responsibilities include performing unit tests, conducting code reviews, and mentoring engineering community members. The position requires proficiency in Java, Python, Scala, and AWS, alongside experience with Open Source RDBMS, NoSQL databases, and cloud data warehousing services like Redshift and Snowflake. The work focuses on delivering robust cloud-based solutions and distributed microservices to provide hyper-personalized customer experiences and drive business value through advanced data and emerging technology integration.

Skills

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

What you'll do

Design, develop, test, implement, and support technical solutions using full-stack development tools.
Lead a team of developers specializing in machine learning, distributed microservices, and full-stack systems.
Utilize Java, Scala, Python, and NoSQL databases to build scalable data platforms.
Develop robust cloud-based solutions using Redshift and Snowflake to drive customer experiences.
Perform unit tests and conduct code reviews to ensure high performance and elegant design.
Mentor other members of the engineering community and share knowledge on emerging tech trends.

What we're looking for

At least 6 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).
9+ years of experience in application development including Python, SQL, Scala, or Java (preferred).
4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) (preferred).
5+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) (preferred).

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