Lead Data Engineer

Capital One Financial

Confirmed live today Low trust

Quick summary

Work type: On-site
Location: Plano, TX
Employment: Full-time
Posted: 147 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 $177k

$136k $219k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $143,625–$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

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The Lead Data Engineer (Java, Python, AWS) 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 Java, Scala, Python, SQL, and shell scripting, alongside experience with Open Source RDBMS, NoSQL databases like Mongo and Cassandra, and cloud data warehousing services including Redshift and Snowflake. Candidates must navigate big data technologies such as MapReduce, Hadoop, Hive, EMR, Kafka, and Spark. The work focuses on solving complex business problems by delivering real-time data and streaming applications.

Skills

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

What you'll do

Design, develop, test, implement, and support technical solutions using full-stack development tools.
Build and maintain distributed microservices and full-stack systems.
Utilize Java, Scala, Python, and SQL/NoSQL databases for data engineering tasks.
Develop and manage cloud-based data warehousing solutions using Redshift or Snowflake.
Deliver robust cloud-based solutions to drive customer experiences and financial empowerment.
Perform unit tests and conduct code reviews to ensure high performance and rigorous design.
Mentor other members of the engineering community on new technologies and tech 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 or Scala (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 working on real-time data and streaming applications (preferred).
Bachelor’s Degree.

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