Lead Data Engineer

Capital One Financial

Confirmed live 2 days ago Low trust

Quick summary

Work type: On-site
Location: McLean, VA
Salary: $197,300–$225,100 / yr
Posted: 58 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 $180k

This role $211k

$140k most similar roles pay here $234k

This role pays more than 81% of similar roles. Most pay $149,106–$211,200 — the shaded band above. At the midpoint, this role pays about $211k versus about $180k 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

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As a Lead Data Engineer, you will join a collaborative team of developers specializing in machine learning, distributed microservices, and full-stack systems to design, develop, test, and support technical solutions. You will work within an Agile environment to build robust cloud-based solutions that drive powerful experiences for customers seeking financial empowerment. Your daily responsibilities include performing unit tests, conducting code reviews, and mentoring other members of the engineering community while staying current on emerging technology trends. The role requires proficiency in Java, Scala, Python, and SQL, alongside experience with Open Source RDBMS, NoSQL databases like Mongo or Cassandra, and cloud warehousing services such as Redshift and Snowflake. You will also utilize distributed computing tools including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, and Gurobi while working within UNIX/Linux environments using shell scripting.

Skills

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

What you'll do

Design, develop, test, and implement technical solutions using full-stack development tools.
Build robust cloud-based data solutions using services like Redshift or Snowflake.
Develop applications using programming languages such as Java, Scala, and Python.
Manage and integrate distributed microservices and big data technologies into production systems.
Perform unit tests and conduct peer code reviews to ensure performance and quality.
Mentor other members of the engineering community on technical best practices.
Stay current on technology trends and experiment with emerging tools and technologies.

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 and data warehousing like Redshift or Snowflake.
Experience with UNIX/Linux commands and shell scripting.
Work authorization that require immigration support from an employer.

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