Lead Data Engineer (Intelligent Foundations and Experiences)

Capital One Financial

Confirmed live yesterday Trusted

Quick summary

Work type: On-site
Location: McLean, VACambridge, MARichmond, VA
Salary: $197,300–$225,100 / yr
Posted: 4 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 $182k

This role $211k

$145k most similar roles pay here $234k

This role pays more than 77% of similar roles. Most pay $153,587–$211,200 — the shaded band above. At the midpoint, this role pays about $211k versus about $182k 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 998 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 992 roles with salary data.

Most-posted roles

View all roles at Capital One Financial

At a glance

TL;DR · Lead Data Engineer (Intelligent Foundations and Experiences)

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Lead Data Engineer (Intelligent Foundations and Experiences) joins a team of developers with deep experience in machine learning, distributed microservices, and full-stack systems. In this role, you will collaborate across Agile teams to design, develop, test, implement, and support technical solutions while mentoring other members of the engineering community. You will build robust cloud-based solutions using Java, Scala, Python, and Golang, while managing data through Open Source RDBMS, NoSQL databases like DynamoDB, and cloud warehousing services such as Redshift or Snowflake. The role involves working with distributed computing tools including MapReduce, Flink, EMR, Kafka, and Spark to manage real-time data and streaming applications. You will also utilize UNIX/Linux environments and interactive AI tooling to solve complex problems and deliver high-performance code within a collaborative development environment.

Skills

Python SQL Java Scala Golang AWS Snowflake Redshift Spark Kafka Flink EMR DynamoDB PostgreSQL NoSQL MapReduce Unix Linux Shell Scripting Agile

What you'll do

Design, develop, test, and implement technical solutions using full-stack development tools and technologies.
Build robust cloud-based data solutions using services like Redshift or Snowflake to drive customer experiences.
Develop applications using programming languages such as Java, Scala, and Python.
Manage and integrate distributed microservices, machine learning models, and large-scale data systems.
Perform unit tests and conduct peer code reviews to ensure high performance and quality.
Mentor other members of the engineering community and share knowledge on emerging technology trends.
Utilize interactive AI tooling to accelerate development productivity and workflow.

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).
Experience with programming languages including Java, Scala, Python, and SQL.
Experience with distributed data/computing tools such as MapReduce, Flink, EMR, Kafka, Spark, or MySQL.
Experience with data warehousing services like Redshift or Snowflake.
Experience with Agile engineering practices and interactive AI tooling to accelerate productivity.
Work authorization that require immigration support from an employer.

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