Lead Data Engineer

Capital One Financial

Confirmed live today Low trust

Quick summary

Work type: On-site
Location: McLean, VARichmond, VA
Employment: Full-time
Posted: 46 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 $176k

$132k $220k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $140,300–$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 (Python, PySpark, AWS) joins a collaborative team of developers to design, develop, test, and support technical solutions within a full-stack development environment. This role involves building robust cloud-based solutions and working with distributed microservices and machine learning systems to drive financial empowerment experiences. Day-to-day 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, Python, and SQL, 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 like Spark, Hadoop, and Kafka while utilizing UNIX/Linux shell scripting to solve complex business problems in an iterative delivery environment.

Skills

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

What you'll do

Design, develop, test, implement, and support technical solutions using full-stack development tools.
Build and deliver robust cloud-based solutions using AWS, Redshift, or Snowflake.
Develop applications using Python, Java, Scala, and SQL.
Implement distributed microservices and big data technologies like Spark, Kafka, and Hadoop.
Perform unit tests and conduct code reviews to ensure performance and design quality.
Manage real-time data and streaming applications.
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, 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 (Mongo, Cassandra), data warehousing (Redshift or Snowflake), and UNIX/Linux (preferred).
Bachelor’s Degree.

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