Data Engineer 5

Capital One Financial

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Quick summary

Work type: On-site
Location: New York, NYMcLean, VACambridge, MA
Salary: $229,900–$262,400 / yr
Employment: Full-time
Posted: 2 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $177k

This role $246k

$115k $278k

below market most similar roles pay here above market

This role pays more than 92% of similar roles. Most pay $130,500–$223,750 — the blue band above. At the midpoint, this role pays about $246k versus about $177k 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 2204 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 1138 roles with salary data.

Most-posted roles

View all roles at Capital One Financial

At a glance

TL;DR · Data Engineer 5

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The Data Engineer 5 joins the Enterprise Data Tech team to manage data technology, platforms, and experiences across the organization. This role involves designing, developing, and supporting technical solutions in a full-stack environment, specifically focusing on building scalable, resilient, and operationally efficient cloud-first data solutions. You will architect common data engineering design patterns, lead large-scale transformative initiatives, and mentor peers while managing the end-to-end data lifecycle. Key technologies include Python, Spark, SQL, Java, and Scala, alongside open-source relational and NoSQL databases. You will also utilize cloud-based data warehousing platforms such as Databricks and Snowflake. The work addresses the business problem of making data easy to find, use, govern, and protect while evolving capabilities for the AI world.

What does a Data Engineer earn in New York?

Median $211200 from 31 postings across 14 companies.

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Skills

Python Spark Databricks Snowflake AWS SQL Java Scala NoSQL MongoDB Cassandra DynamoDB Redshift EMR Glue Airflow Dagster Splunk Monte Carlo Agile Data Modeling Microservices Lakehouse Architecture

What you'll do

Design, develop, test, and implement full-stack technical solutions using Python, Spark, and cloud-based data warehousing platforms.
Architect and enforce common data engineering design patterns to ensure code quality, maintainability, and reusability across pipelines.
Build and deliver scalable, resilient, and operationally efficient cloud data solutions and applications independently.
Lead large-scale data initiatives by driving critical architectural decisions and evaluating platform choices like Snowflake and Databricks.
Develop robust cloud-first data solutions in collaboration with product managers and software engineers to drive customer experiences.
Mentor junior engineers and peers while serving as a technical ambassador to communicate data outcomes to stakeholders.
Manage the end-to-end data lifecycle by designing pipelines that ensure data is easy to find, use, govern, and protect.

What we're looking for

Bachelor's Degree or higher in Computer Science or a related quantitative field.
Master’s Degree in Computer Science or a related field (preferred).
At least 6 years of experience in application development.
At least 4 years of experience in distributed data, SQL, and designing and developing data pipelines.
At least 4 years of experience programming with Python, Java, or Scala.
At least 2 years of experience in data modeling and designing end-to-end data solutions using relational and non-relational databases.
8+ years of experience in data engineering (preferred).
5+ years of experience in AWS, distributed data workloads (EMR, Spark, Glue, Databricks), real-time streaming, NoSQL, or data warehousing (preferred).

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