Senior Lead Data Engineer, Enterprise Platform Technology

Capital One Financial

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: New York, NYSan Francisco, CAMcLean, VARichmond, VAPlano, TX
Salary: $229,900–$262,400 / yr
Posted: 7 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $204k

This role $246k

$177k most similar roles pay here $272k

This role pays more than 94% of similar roles. Most pay $187,850–$219,987 — the shaded band above. At the midpoint, this role pays about $246k versus about $204k 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 1020 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 1013 roles with salary data.

Most-posted roles

View all roles at Capital One Financial

At a glance

TL;DR · Senior Lead Data Engineer, Enterprise Platform Technology

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As a Senior Lead Data Engineer (Enterprise Platform Technology) (Java, Python, Scala, AWS), you will join the Marketing and Messaging team to build scalable platforms that deliver hyper-personalized omnichannel messages across owned and paid Adtech channels. You will lead a team of developers with expertise in machine learning, distributed microservices, and full-stack systems while collaborating with Agile teams to design, develop, test, and support technical solutions. Your daily work involves utilizing Java, Scala, Python, Open Source RDBMS, and NoSQL databases alongside cloud data warehousing services like Redshift and Snowflake. You will also manage the integration of real-time data streaming applications and perform rigorous code reviews. This role focuses on solving complex business problems by delivering robust cloud-based solutions to provide personalized experiences for customers within a large-scale enterprise platform environment.

Skills

Java Python Scala AWS Redshift Snowflake SQL NoSQL Kafka Spark Hadoop Hive EMR MapReduce Microservices Agile Linux Shell Scripting Machine Learning

What you'll do

Design, develop, test, and support technical solutions using full-stack development tools and technologies.
Lead a team of developers specializing in machine learning, distributed microservices, and full-stack systems.
Develop scalable platforms to deliver omnichannel messages across owned and paid Adtech channels.
Build robust cloud-based data solutions using Java, Scala, Python, Redshift, and Snowflake.
Perform unit tests and conduct code reviews to ensure high performance and elegant design.
Mentor other members of the engineering community and stay current on emerging technology 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, or 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, or Google Cloud) (preferred).
Experience with distributed data/computing tools, real-time streaming, NoSQL, and data warehousing (preferred).

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