Lead Data Engineer

Capital One Financial

Confirmed live today High trust

Quick summary

Work type: On-site
Location: New York, NYSan Francisco, CAMcLean, VARichmond, VAPlano, TX
Salary: $197,300–$225,100 / yr
Posted: 4 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $193k

This role $211k

$162k most similar roles pay here $232k

This role pays more than 73% of similar roles. Most pay $169,096–$216,000 — the shaded band above. At the midpoint, this role pays about $211k versus about $193k 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 1043 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 1037 roles with salary data.

Most-posted roles

View all roles at Capital One Financial

At a glance

TL;DR · Lead Data Engineer

Role Posting Log in to save

Lead Data Engineer (Python, AWS, SQL, GenAI) (Enterprise Platforms Technology) joins the Marketing and Messaging team to build scalable platforms for delivering hyper-personalized omnichannel messages across owned and paid Adtech channels. This role involves collaborating with Agile teams to design, develop, test, and support technical solutions within a full-stack environment. The engineer will work alongside experts in machine learning and distributed microservices to deliver robust cloud-based solutions. Key technologies include Python, SQL, Java, Scala, and Open Source RDBMS or NoSQL databases like Mongo and Cassandra. The role also utilizes cloud data warehousing services such as Redshift and Snowflake, along with tools like Spark, Kafka, and Hadoop. Candidates will perform unit tests and code reviews to ensure performance while leveraging AI-assisted coding tools to accelerate software delivery in a complex technical landscape.

Skills

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

What you'll do

Design, develop, test, and implement technical solutions using full-stack development tools and technologies.
Build scalable platforms for delivering omnichannel messages across owned and paid Adtech channels.
Develop robust cloud-based solutions using AWS, Redshift, or Snowflake to drive customer experiences.
Utilize Python, SQL, Java, or Scala to manage RDBMS and NoSQL databases.
Implement distributed microservices and machine learning components within the data infrastructure.
Perform unit tests and conduct peer code reviews to ensure performance and high-quality design.
Mentor other members of the engineering community and stay current on emerging technology 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, or 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/computing tools, real-time streaming, NoSQL, data warehousing, UNIX/Linux, and data modeling (preferred).

Save