Lead Data Engineer, Risk Tech

Capital One Financial

Confirmed live 4 days ago Low trust

Quick summary

Work type: On-site
Location: McLean, VACambridge, MARichmond, VA
Salary: $197,300–$225,100 / yr
Posted: 56 days ago
Freshness: Confirmed live 4 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $194k

This role $211k

$171k most similar roles pay here $231k

This role pays more than 81% of similar roles. Most pay $176,450–$211,200 — the shaded band above. At the midpoint, this role pays about $211k versus about $194k 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, Risk Tech

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Lead Data Engineer - Risk Tech (Python, AWS) joins the Risk Tech team to transform risk management into a real-time, intelligent discipline through modern products and technical capabilities. This role involves collaborating with Agile teams to design, develop, test, and support full-stack solutions while working alongside developers experienced in machine learning, distributed microservices, and full-stack systems. The position focuses on building robust cloud-based solutions for risk management and AML compliance. Key technologies include Python, Java, Scala, Golang, SQL, and shell scripting within UNIX/Linux environments. Candidates will work with big data tools like Spark, Flink, Kafka, and MapReduce, alongside databases such as PostgreSQL, DynamoDB, Redshift, and Snowflake. The role requires expertise in AWS cloud computing to solve complex problems regarding monitoring risks, testing controls, and ensuring adherence to global regulatory requirements.

Skills

Python AWS SQL Snowflake Redshift Java Scala PostgreSQL DynamoDB Spark Kafka Flink EMR MapReduce NoSQL Microservices Agile Unix Linux Shell Scripting

What you'll do

Design, develop, test, and support technical solutions using full-stack development tools and technologies.
Build robust cloud-based data solutions using AWS, Redshift, or Snowflake to drive customer experiences.
Develop distributed microservices and systems utilizing Python, Java, Scala, and various SQL/NoSQL databases.
Implement real-time data processing and streaming applications to support risk management and compliance.
Perform unit tests and conduct peer code reviews to ensure high performance and elegant design.
Mentor other members of the engineering community and stay current on emerging technology trends.
Translate business strategy into technical execution for risk monitoring, testing controls, and regulatory requirements.

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).
Preferred: 7+ years of experience in application development including Python, SQL, Golang, Java, or Scala.
Preferred: 4+ years of experience with public cloud platforms and distributed data/computing tools like Spark, Kafka, or Flink.
Preferred: 4+ years of experience with real-time streaming, SQL/NoSQL implementations, and data warehousing (Snowflake or Redshift).
Preferred: 2+ years of experience with Agile engineering practices and interactive AI tooling.
Work authorization that require immigration support from an employer.

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