Data Engineer 5 (Cloud Operations Resilience Engineering) (MEG)

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

Benefits offered by this job

Performance-based incentives

Job summary

Capital One is seeking a Data Engineer 5 (Cloud Operations Resilience Engineering) to lead and deliver robust cloud data solutions at scale in a fast-paced environment. You will collaborate with Agile teams, data scientists and product managers to design, build and optimize data pipelines and platforms across AWS, Snowflake, and Databricks.

The role requires 6+ years in data engineering, proficiency in Python, SQL, Spark, and experience with distributed data systems, data modeling, and real-time

Qualifications

• Bachelor's degree in Computer Science or a related quantitative field.
• At least 6 years of experience in application development.
• At least 4 years of experience in distributed data and in SQL.

Responsibilities

• Collaborate with Agile teams to design, develop, test, and support data solutions.
• Influence a team of developers, data analysts and data scientists.
• Design and build cloud data pipelines with a focus on scalability and resilience.

Skills

Python

Spark

SQL

Data pipelines

NoSQL

Snowflake

Databricks

Machine learning concepts

Education

Bachelor's degree in CS or related field

Master’s degree (preferred)

Tools

Databricks

Snowflake

EMR

Airflow

Dagster

Job description

Data Engineer 5 (Cloud Operations Resilience Engineering) (MEG) 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 forefront 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 semistructured 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

Plano, TX: $209,000 - $238,500 for Data Engineer 5

Richmond, VA: $209,000 - $238,500 for Data Engineer 5

Riverwoods, IL: $209,000 - $238,500 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.

No agencies please.

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.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at [e-mail].

All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to [e-mail]

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Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

At Capital One, we’re building a leading information‑based technology company. Still founder‑led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking.

We measure our efforts by the success our customers enjoy and the advocacy they exhibit.