Data Engineer IV

Capital One Financial

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
McLean, 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 $183k
This role $211k
$147k most similar roles pay here $233k

This role pays more than 90% of similar roles. Most pay $155,337–$211,200 — the shaded band above. At the midpoint, this role pays about $211k versus about $183k 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 936 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 933 roles with salary data.

Most-posted roles

View all roles at Capital One Financial

At a glance

TL;DR · Data Engineer IV

As a Data Engineer 4 (Python, PySpark, AWS), you will join a collaborative team to design, develop, and support technical solutions within an Agile environment. You will build robust cloud-first data solutions, architect common engineering design patterns for code reusability, and develop scalable pipelines focused on performance and security. The role involves mentoring others in the data community while collaborating with product managers and software engineers to solve complex business problems. You will work extensively with Python, Spark, SQL, and Scala, utilizing tools such as Databricks, Snowflake, and various NoSQL databases like MongoDB or Cassandra. Your work centers on creating high-quality data products and infrastructure using distributed microservices and lakehouse architecture to manage large volumes of structured and unstructured data while ensuring compliance with strict data privacy regulations and security standards.

What does a Data Engineer earn in Virginia?

Median $155450 from 59 postings across 6 companies.

See salary data

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 using Python and Spark.
  • 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.
  • Manage data workloads across distributed systems, lakehouse architectures, and cloud platforms like Databricks and Snowflake.
  • Communicate technical concepts and data outcomes clearly to internal and external stakeholders to drive alignment.
  • Mentor other members of the data community and stay current on emerging data technologies.

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 2 years of experience with one programming language such as Python, Java, or Scala.
  • At least 1 year of experience in data modeling and designing end-to-end solutions using relational and non-relational systems.
  • 7+ years of experience in application development with proficiency in Python, SQL, Scala, or Java (preferred).
  • 4+ years of experience in cloud environments, distributed workloads, real-time pipelines, NoSQL databases, or data warehousing (preferred).
  • 2+ years of experience in Agile environments, data observability/orchestration tools, and developing user-centric reusable data products (preferred).

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