Lead Data Engineer

Capital One Financial

Confirmed live today Low trust

Quick summary

Work type: On-site
Location: McLean, VA
Employment: Full-time
Posted: 81 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

How this pay compares to similar roles

Similar $164k

$118k $211k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $126,800–$202,200.

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.

Most-posted roles

View all roles at Capital One Financial

At a glance

TL;DR · Lead Data Engineer

Role Posting Log in to save

The Lead Data Engineer 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. Daily 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, and Python, 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 Hadoop, Hive, and Spark. The work focuses on solving complex business problems by delivering real-time data and streaming applications to drive powerful experiences for financial empowerment.

Skills

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

What you'll do

Design, develop, test, implement, and support technical solutions using full-stack development tools.
Build robust cloud-based solutions using Redshift, Snowflake, and other cloud data warehousing services.
Develop applications using Java, Scala, Python, and various RDBMS or NoSQL databases.
Create and maintain distributed microservices and real-time data streaming applications.
Perform unit tests and conduct code reviews to ensure high performance and elegant design.
Mentor other members of the engineering community and share knowledge on emerging tech trends.
Utilize interactive AI tooling to accelerate development productivity and coding tasks.

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, distributed data tools, real-time streaming, NoSQL, data warehousing, or UNIX/Linux (preferred).
2+ years of experience with Agile engineering practices (preferred).
Experience leveraging interactive AI tooling to accelerate productivity (preferred).
Bachelor’s Degree.

Save