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: 102 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 $178k

This role $211k

$136k most similar roles pay here $235k

This role pays more than 76% of similar roles. Most pay $145,700–$211,200 — the shaded band above. At the midpoint, this role pays about $211k versus about $178k 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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Lead Data Engineer (Bank Tech) joins a collaborative team of developers to design, develop, test, implement, and support technical solutions within an Agile environment. This role involves building robust cloud-based solutions and collaborating with digital product managers to solve complex business problems in the financial sector. The daily work includes performing unit tests, conducting code reviews, and mentoring other members of the engineering community while staying current on technology trends. The candidate will utilize a variety of tools and languages including Java, Scala, Python, SQL, and shell scripting. Technical requirements include experience with big data technologies like MapReduce, Hadoop, Hive, EMR, Kafka, and Spark; NoSQL databases such as Mongo and Cassandra; and cloud-based warehousing services like Redshift or Snowflake. The role focuses on delivering high-performance systems using distributed microservices and real-time streaming applications.

Skills

Python SQL Scala Java AWS Redshift Snowflake Spark Kafka Hadoop Hive EMR NoSQL Cassandra MySQL UNIX 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 including Java, Scala, and Python.
Manage and integrate distributed microservices and big data technologies into production systems.
Perform unit tests and conduct code reviews to ensure performance and high-quality design.
Mentor other members of the engineering community and share knowledge on emerging tech trends.
Develop real-time data and streaming applications to improve customer experiences.

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 databases (Mongo, Cassandra) and cloud data warehousing (Redshift or Snowflake).
Experience with UNIX/Linux commands and shell scripting.
Work authorization that require immigration support from an employer.

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