Lead Data Engineer, Payment Networks

Capital One Financial

Confirmed live yesterday Low trust

Quick summary

Work type: On-site
Location: McLean, VANew York, NY
Employment: Full-time
Posted: 69 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $170k

$116k $225k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $126,800–$214,150.

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.

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At a glance

TL;DR · Lead Data Engineer, Payment Networks

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The Lead Data Engineer - Payment Networks joins a team of makers and doers to drive a major transformation within the payment networks domain. This role involves collaborating across Agile teams to design, develop, test, and support technical solutions in full-stack development tools. You will build robust cloud-based solutions, perform unit tests, and conduct code reviews to ensure performance. The position requires expertise in programming languages including Java, Scala, Python, and SQL. You will work with distributed microservices, machine learning, and big data technologies such as MapReduce, Hadoop, Hive, EMR, Kafka, Spark, and Gurobi. Key tools include Redshift, Snowflake, Mongo, Cassandra, and various public cloud platforms like AWS, Microsoft Azure, and Google Cloud, alongside UNIX/Linux shell scripting and interactive AI tooling.

Skills

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

What you'll do

Design, develop, test, implement, and support technical solutions using full-stack development tools.
Build and deploy robust cloud-based solutions using Redshift, Snowflake, and other data warehousing services.
Develop applications using programming languages such as Java, Scala, and Python.
Implement distributed microservices and big data technologies including Spark, Kafka, and Hadoop.
Perform unit tests and conduct code reviews to ensure high performance and rigorous design.
Manage real-time data and streaming applications to drive customer experiences.
Mentor other members of the engineering community and share knowledge on emerging tech 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 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 (AWS, Microsoft Azure, Google Cloud) (preferred).
4+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) (preferred).
4+ years experience working on real-time data and streaming applications (preferred).
Bachelor’s Degree.

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