Data Engineer IV, Payment Networks

Capital One Financial

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: New York, NY
Salary: $215,200–$245,600 / yr
Employment: Full-time
Posted: 3 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 $194k

This role $230k

$169k most similar roles pay here $254k

This role pays more than 90% of similar roles. Most pay $177,537–$211,200 — the shaded band above. At the midpoint, this role pays about $230k 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 1554 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 796 roles with salary data.

Most-posted roles

View all roles at Capital One Financial

At a glance

TL;DR · Data Engineer IV, Payment Networks

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Data Engineer 4 - Payment Networks joins the team to design, develop, and support technical solutions within a full-stack development environment. This role involves collaborating with Agile teams to build robust cloud-first data solutions, architecting common engineering patterns for code quality, and developing scalable pipelines that ensure performance under high volume. The position requires building and maintaining data platforms while implementing security standards like encryption and access control. Key technologies include Python, Spark, SQL, and Scala, alongside tools such as Databricks, Snowflake, EMR, Glue, and Airflow. Candidates will work with both relational and NoSQL databases to manage structured and unstructured data. The role focuses on the payment networks domain, solving complex problems by creating high-quality data products and infrastructure that support large-scale financial systems through distributed microservices and lakehouse architecture.

What does a Data Engineer earn?

Median $162000 from 190 postings across 57 companies.

See salary data

Skills

Python SQL Spark Databricks Snowflake Scala Java AWS Azure NoSQL relational database s Airflow Dagster Splunk Monte Carlo EMR Glue Redshift Agile

What you'll do

Design, develop, test, and support technical solutions using full-stack development tools and technologies.
Build and deliver scalable, resilient cloud-first data pipelines and platforms to handle increasing volumes of data.
Architect and enforce common data engineering design patterns to ensure code quality and reusability.
Implement data security standards including encryption and fine-grained access control to ensure regulatory compliance.
Develop robust data solutions using Python, Spark, and cloud platforms like Databricks or Snowflake.
Communicate complex technical concepts and data outcomes clearly to both internal and external stakeholders.
Mentor other members of the data community and stay current on emerging technology trends.

What we're looking for

Bachelor's Degree or higher in Computer Science or a related quantitative field.
At least 4 years of experience in application development.
At least 2 years of experience in distributed data.
At least 2 years of experience with SQL.
At least 2 years of experience with one programming language such as Python, Java, or Scala.
At least 2 years of experience in data pipeline design and development.
At least 1 year of experience in data modeling and designing end-to-end data solutions using relational and non-relational systems.
Experience with cloud platforms, distributed workloads, streaming pipelines, or NoSQL databases (preferred).

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