Data Engineer 4 (Cloud Operations Resilience Engineering)

Capital One is seeking a Data Engineer 4 focused on Cloud Operations Resilience Engineering to design, build, and support cloud-first data solutions. The role emphasizes scalability, resilience, security, and operational efficiency.

Role Responsibilities

• Work with and across Agile teams to design, develop, test, implement, and support technical solutions using full-stack development tools and technologies
• Provide technical influence to developers, data analysts, and data scientists with experience across machine learning, distributed microservices, lakehouse architecture, and full-stack systems
• Use Python and Spark alongside open-source relational and NoSQL databases and cloud-based data warehousing platforms such as Databricks and Snowflake
• Stay current on data trends by experimenting with and learning new technologies, participating in internal and external technology communities, and mentoring members of the data community
• Partner with product managers and software engineers to deliver robust cloud-first data solutions that enable powerful experiences supporting millions of Americans
• Independently design, build, and deliver cloud data solutions and applications with little or no support from supervisors or managers
• Architect and enforce common data engineering design patterns to support code quality, maintainability, and reusability across data platforms and pipelines
• Design and build data pipelines and platforms with a focus on scalability, resilience, and operational efficiency, including strong performance as data volume and business demands increase
• Implement data security standards, including encryption at rest and transit and fine-grained access control, to support compliance with data privacy regulations
• Serve as a data engineering ambassador by communicating technical concepts and data outcomes clearly to internal and external stakeholders to drive alignment

Required Qualifications

• Bachelor's Degree or higher in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)
• 4+ years of experience in application development (internship experience does not apply)
• 2+ years of experience in distributed data
• 2+ years of experience with SQL
• 2+ years of experience with one programming language: Python, Java, or Scala
• 2+ years of experience in data pipeline design and development
• 1+ year of experience in data modeling and designing end-to-end data solutions using both relational and non-relational database systems

Technologies

• Python, Spark
• Databricks, Snowflake
• SQL
• Machine learning
• Distributed microservices
• Lakehouse architecture
• Open-source relational databases and NoSQL databases
• Encryption at rest, encryption in transit
• Fine-grained access control

Preferred Qualifications

• 7+ years of experience in application development with demonstrated proficiency in Python, SQL, Scala, or Java
• 4+ years of hands-on experience designing, deploying, and operating data workloads in at least one public cloud environment: AWS, Microsoft Azure, or Google Cloud
• 4+ years of experience building or supporting distributed data or compute workloads using tools such as EMR, Spark, Glue, or Databricks
• 4+ years of experience designing, implementing, and operating real-time or streaming data pipelines
• 2+ years of experience working on data observability (e.g., Monte Carlo, Splunk) or data orchestration tools (e.g., Airflow, Dagster)
• 4+ years of experience working with unstructured or semistructured data using NoSQL databases (e.g., MongoDB, Cassandra, DynamoDB)
• 4+ years of experience designing and supporting data warehousing solutions (e.g., Snowflake, Redshift)
• 2+ years of experience working in an Agile development environment
• 2+ years of experience developing user-centric reusable data products

Compensation and Location

Location: Plano, TX (onsite)

Estimated Salary Range: USD 179,400 - 204,700 per yearly

Benefits

• Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
• Comprehensive, competitive, and inclusive set of health, financial and other benefits

Salary Information by Location

• McLean, VA: $197,300 - $225,100
• New York, NY: $215,200 - $245,600
• Plano, TX: $179,400 - $204,700
• Richmond, VA: $179,400 - $204,700
• Riverwoods, IL: $179,400 - $204,700

Immigration Authorization Notice

Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer).

Application Window

This role is expected to accept applications for a minimum of 5 business days.

Other Employment Notices

• 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.
• Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Accommodation and Recruiting Contact Information

• If you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at [email protected].
• For technical support or questions about Capital One's recruiting process, send an email to [email protected].