Data Engineer 4 (Manager)

Capital One Financial

Confirmed live yesterday Trusted

Quick summary

Work type: On-site
Location: New York, NYMcLean, VACambridge, MARichmond, VA
Salary: $197,300–$225,100 / yr
Employment: Full-time
Posted: 19 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 $173k

This role $211k

$125k $236k

below market most similar roles pay here above market

This role pays more than 79% of similar roles. Most pay $135,456–$211,200 — the blue band above. At the midpoint, this role pays about $211k versus about $173k 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 2107 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 1107 roles with salary data.

Most-posted roles

View all roles at Capital One Financial

At a glance

TL;DR · Data Engineer 4 (Manager)

Role Posting Log in to save

The Data Engineer 4 (Manager, IC) joins the Finance Tech team to drive a major transformation of the financial engine. This role involves designing, developing, and supporting full-stack technical solutions and cloud-first data products. You will independently architect and deliver scalable data pipelines, enforce common engineering design patterns, and influence a team of developers, data analysts, and data scientists. Key responsibilities include implementing data security standards and communicating technical outcomes to stakeholders. You will utilize Python, Spark, SQL, and Scala alongside open-source relational and NoSQL databases. The role leverages cloud-based data warehousing platforms including Databricks and Snowflake. You will solve complex business problems across forecasting, treasury, and accounting by managing the orchestration and sourcing of critical financial data products.

Skills

Python SQL Spark Scala Java Databricks Snowflake AWS Azure Google Cloud NoSQL MongoDB Cassandra DynamoDB Airflow Dagster Splunk EMR Glue Redshift Agile Machine Learning Data Modeling

What you'll do

Design, develop, test, and support technical solutions using full-stack development tools and technologies.
Influence a team of developers, data analysts, and data scientists on machine learning and lakehouse architecture.
Utilize Python, Spark, and cloud-based data warehousing platforms like Databricks and Snowflake.
Independently design and deliver world-class cloud data solutions and applications with minimal supervision.
Architect and enforce common data engineering design patterns to ensure code quality and reusability.
Build scalable data pipelines and platforms to handle increasing data volume and business demands.
Implement data security standards, including encryption and fine-grained access control, to ensure regulatory compliance.
Communicate technical concepts and data outcomes clearly to internal and external stakeholders to drive alignment.

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 both relational and non-relational database systems.
7+ years of experience in application development with demonstrated proficiency in Python, SQL, Scala, or Java (preferred).

Save