Lead Data Engineer

Capital One Financial

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: Richmond, VAMcLean, VACambridge, MA
Salary: $197,300–$225,100 / yr
Posted: 4 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 $175k

This role $211k

$129k most similar roles pay here $235k

This role pays more than 77% of similar roles. Most pay $139,192–$211,200 — the shaded band above. At the midpoint, this role pays about $211k versus about $175k 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-IC joins the Risk Tech team to develop proprietary solutions for risk management powered by state-of-the-art AI technology. Working within an Agile environment, you will collaborate with developers and product managers to design, test, and implement robust cloud-based solutions that utilize machine learning to prevent risks and detect issues automatically. You will build and maintain data pipelines and distributed microservices while performing unit tests to ensure code is tuned for performance. The role requires proficiency in Java, Scala, Python, SQL, and shell scripting within UNIX/Linux environments. Technical requirements include experience with big data tools like Spark, MapReduce, Hadoop, Hive, and Kafka, alongside NoSQL databases such as Mongo or Cassandra. You will also utilize cloud warehousing services including Redshift and Snowflake to manage large-scale data systems.

Skills

Python SQL Scala Java AWS Azure Redshift Snowflake Spark Hadoop Hive Kafka NoSQL Cassandra MySQL UNIX Linux Shell Scripting Agile Machine Learning

What you'll do

Design, develop, test, and support technical solutions using full-stack development tools and technologies.
Build and deploy proprietary risk management solutions powered by state-of-the-art AI technology.
Develop data pipelines and distributed microservices using Java, Scala, Python, or other programming languages.
Manage and query RDBMS, NoSQL databases, and cloud-based data warehousing services like Redshift and Snowflake.
Create robust cloud-based solutions to improve customer experiences and financial empowerment.
Perform unit tests and conduct peer code reviews to ensure high performance and quality.
Mentor other members of the engineering community and share knowledge on emerging technology 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, or Google Cloud).
7+ years of experience with data pipelines including Python, SQL, Scala, or Java (preferred).
4+ years of experience with public cloud, distributed data 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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