Lead Data Engineer, Intelligent Foundations and Experiences

Capital One Financial

Confirmed live today Low trust

Quick summary

Work type: On-site
Location: McLean, VACambridge, MARichmond, VA
Employment: Full-time
Posted: 50 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 $169k

$117k $221k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $126,800–$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, Intelligent Foundations and Experiences

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The Lead Data Engineer (Intelligent Foundations and Experiences) joins a collaborative team of makers and doers to drive a major technological transformation. This role involves collaborating across Agile teams to design, develop, test, and support technical solutions within full-stack development environments. The engineer will build robust cloud-based solutions, perform unit tests, and conduct code reviews to ensure performance and elegance. Key responsibilities include working with machine learning, distributed microservices, and full-stack systems. Required technologies and skills include Java, Scala, Python, SQL, and Golang, alongside experience with Open Source RDBMS, NoSQL databases like DynamoDB, and cloud data warehousing services such as Redshift and Snowflake. The role specifically addresses the technical challenge of marrying data with emerging technologies to create powerful digital experiences.

Skills

Python Java Scala SQL Golang AWS Microsoft Azure Google Cloud Snowflake Redshift PostgreSQL DynamoDB Spark Kafka Flink MapReduce EMR UNIX Linux Shell Scripting Agile Machine Learning NoSQL RDBMS

What you'll do

Design, develop, test, implement, and support technical solutions using full-stack development tools.
Build robust cloud-based solutions using Java, Scala, Python, and NoSQL databases.
Manage data warehousing services including Redshift and Snowflake.
Develop distributed microservices and machine learning systems.
Perform unit tests and conduct code reviews to ensure performance and design quality.
Deliver real-time data and streaming applications.
Mentor other members of the engineering community on new technologies and 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).
7+ years of experience in application development including Python, SQL, Golang, Java or Scala (preferred).
4+ years of experience with a public cloud, distributed data tools, real-time streaming, SQL/NoSQL, data warehousing, and UNIX/Linux (preferred).
2+ years of experience with Agile engineering practices (preferred).
Experience leveraging interactive AI tooling to accelerate productivity (preferred).
Bachelor’s Degree.

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