Lead Data Engineer - Payment Networks

Capital One Financial

Quick summary

Work type: On-site
Location: McLean, VA
Salary: $197,300–$225,100 / yr
Posted: 7 days ago
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 $139,200–$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 814 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 809 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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As a Lead Data Engineer in the Payment Networks team, you will oversee the design and implementation of robust data solutions to support complex financial transactions. Your day-to-day responsibilities include collaborating with cross-functional teams to build scalable data pipelines, ensuring data quality and integrity, and developing innovative analytics tools. You will work extensively with technologies such as Apache Hadoop, Spark, and Kafka, alongside SQL and Python for data processing and analysis. This role requires expertise in cloud platforms like AWS or Azure, experience with big data frameworks, and a strong understanding of payment systems and financial regulations. Your contributions will significantly enhance the efficiency and reliability of our payment network infrastructure, addressing critical business challenges in real-time data processing and analytics.

Skills

Python SQL AWS Kubernetes Docker CI/CD Git PostgreSQL Snowflake BigQuery Hadoop Spark Airflow Terraform Jenkins Prometheus Grafana

What you'll do

Design and implement data engineering solutions to support payment network operations.
Optimize data pipelines for efficiency and reliability in processing financial transactions.
Ensure compliance with regulatory standards for data security and privacy.
Develop ETL processes to integrate diverse data sources within the payment ecosystem.
Monitor system performance and troubleshoot issues affecting data integrity.

What we're looking for

Bachelor’s Degree required.
Extensive experience in data engineering and payment networks.
Strong skills in designing and implementing large-scale data systems.
Experience with cloud platforms such as AWS or Azure.
Proven leadership in managing data engineering teams.
Knowledge of data security and compliance standards.

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