Data Engineer Manager

Capital One Financial

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
McLean, VACambridge, MARichmond, VA
Salary
$197,300–$225,100 / yr
Employment
Full-time
Posted
4 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $177k
This role $211k
$132k most similar roles pay here $235k

This role pays more than 80% of similar roles. Most pay $141,950–$211,200 — the shaded band above. At the midpoint, this role pays about $211k 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 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 Manager

As a Data Engineer 4 (Manager, IC), you will join a collaborative team to design, develop, test, and support technical solutions within an Agile environment. You will be responsible for building robust cloud-first data solutions, architecting common engineering design patterns to ensure code quality, and developing scalable data pipelines and platforms. The role involves influencing a team of developers and data scientists while mentoring others in the data community. You will work with technologies including Python, Spark, SQL, Scala, and Java, utilizing tools such as Databricks, Snowflake, and various NoSQL databases like MongoDB or Cassandra. Your work focuses on solving complex business problems by creating high-performance systems for distributed microservices and lakehouse architectures while implementing strict data security standards and encryption to ensure compliance with privacy regulations across all data platforms.

What you'll do

  • Design, develop, test, and implement full-stack technical solutions using Python, Spark, and cloud-based data platforms.
  • Build and deliver scalable, resilient, and high-performing cloud-first data pipelines and architectures.
  • 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 for regulatory compliance.
  • Influence a team of developers and scientists by providing expertise in machine learning and lakehouse architecture.
  • Communicate complex technical concepts and data outcomes clearly to 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, SQL, and data pipeline design and development.
  • At least 1 year of experience in data modeling and designing end-to-end solutions using relational and non-relational databases.
  • At least 2 years of experience with one programming language such as Python, Java, or Scala.
  • 7+ years of experience in application development with proficiency in Python, SQL, Scala, or Java (preferred).
  • 4+ years of experience in cloud environments, distributed data workloads, real-time pipelines, and data warehousing solutions (preferred).
  • 2+ years of experience in Agile environments, data observability/orchestration tools, and developing user-centric reusable data products (preferred).

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