Lead Data Engineer

Capital One Financial

Confirmed live today Low trust

Quick summary

Work type: On-site
Location: McLean, VARichmond, VAChicago, ILPlano, TX
Employment: Full-time
Posted: 131 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 $164k

$118k $211k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $126,800–$202,200.

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

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The Lead Data Engineer joins a collaborative team to design, develop, test, and support technical solutions within a full-stack development environment. This role involves working with developers experienced in machine learning and distributed microservices to build robust cloud-based solutions. 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, along with experience using Open Source RDBMS, NoSQL databases like Mongo and Cassandra, and cloud data warehousing services including Redshift and Snowflake. Candidates must navigate big data technologies like Hadoop, Hive, and Spark, as well as real-time streaming applications. The work focuses on solving complex business problems and delivering high-performance data solutions to drive financial empowerment.

Skills

Python Java Scala SQL AWS Microsoft Azure Google Cloud Redshift Snowflake Spark Kafka Hadoop Hive EMR MapReduce Cassandra MySQL 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 and maintain robust cloud-based solutions using Redshift, Snowflake, and other data warehousing services.
Develop applications using programming languages such as Java, Scala, and Python.
Implement distributed microservices and handle real-time data and streaming applications.
Perform unit tests and conduct code reviews to ensure performance and design quality.
Manage and utilize Open Source RDBMS and NoSQL databases like Mongo and Cassandra.
Mentor other members of the engineering community and share knowledge on new 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, 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 NoSQL implementation (Mongo, Cassandra) (preferred).
Bachelor’s Degree.

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