Data Engineer 5 (Enterprise Platforms Technology)

Capital One; Richmond (VA); On-site; USD 209,000 - 239,000; Full time

Job summary

Capital One is seeking Data Engineers in Richmond, VA to drive cloud-first data solutions across the organization. You will design, build and scale data pipelines and platforms, mentoring peers and collaborating with product managers and engineers to deliver robust data products.

The role emphasizes architecture decisions, performance, and scalability, with opportunities to influence tech direction and stay current with evolving data technologies.

Qualifications

• Bachelor’s degree in CS or related quantitative field.
• 6+ years of application development experience.
• 4+ years in distributed data.
• 4+ years SQL experience.
• 4+ years programming in Python, Java, or Scala.
• 4+ years data pipelines development.
• 2+ years data modeling for end-to-end data solutions.

Responsibilities

• Collaborate with Agile teams to design and maintain data solutions.
• Influence a team with ML, microservices, lakehouse architecture.
• Use Python and Spark with SQL/NoSQL databases and cloud data warehousing.
• Mentor data community members and share best practices.
• Deliver cloud-first data solutions that empower customers financially.
• Design and deliver scalable data pipelines and platforms.
• Lead large-scale data initiatives end-to-end and evaluate platform choices.

Skills

SQL

Python

Java/Scala

Data pipelines

Data modeling

Distributed data

Agile

Data warehousing concepts

Education

Bachelor's degree in CS or related field

Master’s degree in CS or related field

Tools

Databricks

Snowflake

EMR

Spark

Redshift

NoSQL databases

Job description

Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about marrying data with emerging technologies. In this role, you’ll be at the frontier of driving a major transformation across Capital One.

What You’ll Do:

• Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies
• Influence a team of developers, data analysts and data scientists with deep experience in machine learning, distributed microservices, lakehouse architecture, and full-stack systems
• Utilize programming languages such as Python and Spark, along with open-source relational and NoSQL databases, and cloud-based data warehousing platforms including Databricks and Snowflake
• Share your passion for staying on top of trends in data, experimenting with and learning new technologies, participating in internal and external technology communities, and mentoring other members of the data community
• Collaborate with product managers and software engineers to deliver robust cloud-first data solutions that drive powerful experiences to help millions of Americans achieve financial empowerment
• Independently design, build and deliver world-class cloud data solutions and applications with little or no support from supervisors or managers
• Architect and enforce common data engineering design patterns to ensure code quality, maintainability, and reusability across data platforms and pipelines
• Serve as an ambassador for the data engineering team, communicating technical concepts and data outcomes clearly to both internal and external stakeholders to drive alignment and shared understanding
• Design and build data pipelines and platforms with a focus on scalability, resilience, and operational efficiency, ensuring robust performance under increasing data volume and business demands
• Serve as a force-multiplier for the team, balancing deep, hands‑on technical contribution and innovation with mentoring and elevating the skills of peers and junior engineers
• Lead and execute large-scale, transformative data initiatives from end to end, independently driving critical architectural decisions and evaluating platform choices, such as Snowflake versus Databricks, based on technical and business requirements

Basic Qualifications:

• Bachelor's Degree or higher in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)
• At least 6 years of experience in application development (Internship experience does not apply)
• At least 4 years of experience in distributed data
• At least 4 years of experience with SQL
• At least 4 years of experience programming with at least one of the following languages: Python, Java, or Scala
• At least 4 years of experience designing and developing data pipelines
• At least 2 years of experience in data modeling and designing end‑to‑end data solutions using both relational and non‑relational database systems

Preferred Qualifications:

• Master’s Degree in Computer Science or a related field
• 8+ years of experience in data engineering
• 4+ years of data modeling experience
• 9+ years of experience in application development with demonstrated proficiency in Python, SQL, Scala, or Java
• 5+ years of hands‑on experience designing, deploying and operating data workloads in at least one public cloud environment (AWS, Microsoft Azure, or Google Cloud)
• 5+ years of experience building or supporting distributed data or compute workloads using tools such as EMR, Spark, Glue, or Databricks
• 5+ years of experience designing, implementing, and operating real‑time or streaming data pipelines
• 3+ years of experience working on data observability (e.g., Monte Carlo, Splunk) or data orchestration tools (e.g., Airflow, Dagster)
• 5+ years of experience working with unstructured or semi‑structured data using NoSQL databases (e.g., MongoDB, Cassandra, DynamoDB)
• 5+ years of experience designing and supporting data warehousing solutions (e.g., Snowflake, Redshift)
• 3+ years of experience working in an Agile development environment
• 3+ years of experience developing user‑centric reusable data products

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

• McLean, VA: $229,900 - $262,400 for Data Engineer 5
• New York, NY: $250,800 - $286,200 for Data Engineer 5
• Richmond, VA: $209,000 - $238,500 for Data Engineer 5
• San Francisco, CA: $250,800 - $286,200 for Data Engineer 5

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well‑being. Learn more at the Capital One Careers website. Eligibility varies based on full or part‑time status, exempt or non‑exempt status, and management level.

Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non‑discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug‑free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23‑A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901‑4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.