Lead Data Engineer, Payment Networks

Capital One Financial

Confirmed live yesterday Trusted

Quick summary

Work type: On-site
Location: McLean, VA
Salary: $197,300–$225,100 / yr
Posted: 23 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 $182k

This role $211k

$138k most similar roles pay here $234k

This role pays more than 71% of similar roles. Most pay $147,756–$216,075 — the shaded band above. At the midpoint, this role pays about $211k versus about $182k 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, Payment Networks

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Lead Data Engineer - Payment Networks 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 for payment networks while collaborating with digital product managers and engineers experienced in machine learning and distributed microservices. The daily work includes performing unit tests, conducting code reviews, and mentoring other members of the engineering community to ensure high performance. Candidates will utilize a technical stack including Java, Scala, Python, and SQL, alongside Open Source RDBMS and NoSQL databases like Mongo or Cassandra. The role requires expertise in cloud-based data warehousing services such as Redshift and Snowflake, along with distributed computing tools like Hadoop, Hive, EMR, Kafka, and Spark to solve complex problems within the payment networks domain.

Skills

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

What you'll do

Design, develop, test, and implement technical solutions using full-stack development tools.
Build and support robust cloud-based data solutions using Redshift or Snowflake.
Develop applications using programming languages such as Java, Scala, and Python.
Manage distributed microservices and large-scale big data systems.
Perform unit tests and conduct peer code reviews to ensure performance and quality.
Mentor other members of the engineering community on emerging technologies and best practices.
Implement real-time data streaming applications using tools like Kafka or Spark.

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 Agile engineering practices and interactive AI tooling to accelerate productivity.
Work authorization that require immigration support from an employer.

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