Lead Data Engineer, Intelligent Foundations and Experiences

Capital One Financial

Confirmed live today Low trust

Quick summary

Work type: On-site
Location: McLean, VA
Employment: Full-time
Posted: 57 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 (IFX) joins a collaborative team to design, develop, and support technical solutions within a full-stack development environment. This role involves collaborating across Agile teams to build robust cloud-based solutions that drive powerful user experiences. Key responsibilities include performing unit tests, conducting code reviews, and mentoring other engineering community members. The position requires proficiency in programming languages such as Java, Scala, and Python, alongside experience with Open Source RDBMS, NoSQL databases like Mongo and Cassandra, and cloud data warehousing services including Redshift and Snowflake. Candidates must navigate distributed microservices, machine learning, and real-time streaming applications using tools like Spark, Kafka, and Hadoop to solve complex business problems and deliver high-performance data infrastructure.

Skills

Python SQL Scala Java AWS Microsoft Azure Google Cloud Spark Kafka Redshift Snowflake Hadoop Hive EMR Cassandra MapReduce UNIX Linux Agile

What you'll do

Design, develop, test, implement, and support technical solutions using full-stack development tools.
Build robust cloud-based solutions using Redshift, Snowflake, and other cloud data warehousing services.
Develop applications using programming languages including Java, Scala, and Python.
Implement distributed microservices and manage RDBMS and NoSQL databases.
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.
Deliver data-driven solutions that support digital product goals and customer experiences.

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, Scala, or Java (preferred).
4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) (preferred).
4+ years of experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) (preferred).
4+ years of experience with real-time data, streaming applications, NoSQL, data warehousing, or UNIX/Linux (preferred).
Bachelor’s Degree.

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