Lead Data Engineer, Enterprise Platforms Technology

Capital One Financial

Confirmed live 2 days ago Low trust

Quick summary

Work type: On-site
Location: McLean, VARichmond, VA
Salary: $197,300–$225,100 / yr
Posted: 126 days ago
Freshness: Confirmed live 2 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $187k

This role $211k

$133k most similar roles pay here $235k

This role pays more than 78% of similar roles. Most pay $162,000–$211,200 — the shaded band above. At the midpoint, this role pays about $211k versus about $187k 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, Enterprise Platforms Technology

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Lead Data Engineer (Enterprise Platforms Technology) joins the Enterprise Platforms Technology team to design, develop, test, implement, and support technical solutions within a full-stack development environment. Working alongside developers experienced in machine learning, distributed microservices, and full-stack systems, this individual will build robust cloud-based solutions while performing unit tests and code reviews to ensure performance. The role requires proficiency in Java, Scala, Python, and SQL, along with experience in Open Source RDBMS, NoSQL databases like Mongo or Cassandra, and cloud data warehousing services such as Redshift and Snowflake. Candidates should possess skills in distributed computing tools including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, and Gurobi, alongside UNIX/Linux shell scripting. The position focuses on solving complex business problems by delivering high-quality technical solutions within an Agile framework to support essential enterprise platforms.

Skills

Python SQL Scala Java AWS Snowflake Redshift Spark Kafka Hadoop Hive EMR NoSQL Cassandra MySQL Unix Linux Shell Scripting Agile

What you'll do

Design, develop, test, implement, and support technical solutions using full-stack development tools.
Build robust cloud-based data solutions using technologies like Redshift and Snowflake.
Develop applications using programming languages including Java, Scala, and Python.
Manage distributed microservices and large-scale data systems.
Perform unit tests and conduct code reviews to ensure performance and high-quality design.
Mentor other members of the engineering community on emerging technologies and best practices.
Stay current on technology trends and participate in internal and external tech communities.

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, Hadoop, Hive, EMR, Kafka, or Spark.
Experience with NoSQL implementations like Mongo or Cassandra.
Experience with data warehousing services such as Redshift or Snowflake.
Work authorization that require immigration support from an employer.

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