Lead Data Engineer

Capital One Financial

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: McLean, VA
Salary: $197,300–$225,100 / yr
Posted: 11 days ago
Freshness: Confirmed live yesterday
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 83% of similar roles. Most pay $145,150–$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 886 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 880 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 (Python, Spark, AWS) joins an engineering 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, the successful candidate will build robust cloud-based solutions to solve complex business problems. The role requires hands-on experience with programming languages including Python, Java, Scala, and SQL, as well as tools such as Spark, Hadoop, Hive, EMR, Kafka, and Gurobi. Technical expertise must include NoSQL databases like Mongo or Cassandra, and cloud data warehousing services such as Redshift or Snowflake. The candidate will also utilize UNIX/Linux environments and shell scripting while participating in Agile practices to deliver high-performance code that supports large-scale financial empowerment initiatives through innovative technology integration.

Skills

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

What you'll do

Design, develop, test, and implement technical solutions using full-stack development tools.
Build robust cloud-based data solutions using Redshift, Snowflake, or other cloud warehousing services.
Develop applications using Python, Java, Scala, and SQL for distributed microservices and machine learning.
Manage real-time data streaming and processing using tools like Spark, Kafka, and Hadoop.
Perform unit tests and conduct peer code reviews to ensure performance and high-quality design.
Mentor other members of the engineering community and share knowledge on emerging technology 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, or Google Cloud).
7+ years of experience in application development including Python, SQL, Scala, or Java (preferred).
4+ years of experience with public cloud, distributed data/computing tools, real-time streaming, NoSQL, and data warehousing (preferred).
4+ years of experience with UNIX/Linux including basic commands and shell scripting (preferred).
2+ years of experience with Agile engineering practices (preferred).
Bachelor’s Degree.

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