Data Engineer 4 (Cloud Operations Resilience Engineering)

Capital One is seeking a Data Engineer 4 focused on Cloud Operations Resilience Engineering. In this onsite role in Plano, TX, you will design, build, and support cloud-first data solutions with an emphasis on scalability, resilience, security, and operational efficiency.

Responsibilities

• Collaborate with Agile teams to design, develop, test, implement, and support technical solutions across full-stack development tools and technologies
• Influence a team of developers, data analysts, and data scientists with experience across machine learning, distributed microservices, lakehouse architecture, and full-stack systems
• Use programming languages including Python and Spark, along with open-source relational and NoSQL databases and cloud data warehousing platforms such as Databricks and Snowflake
• Stay current on trends in data, experiment with new technologies, participate in internal and external technology communities, and mentor members of the data community
• Partner with product managers and software engineers to deliver robust cloud-first data solutions that enable powerful experiences for millions of Americans seeking financial empowerment
• 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 to maintain performance as data volume and business demand grow
• Implement data security standards, including encryption at rest and encryption in transit, and fine-grained access control to support data privacy compliance
• Serve as an ambassador for data engineering by communicating technical concepts and data outcomes clearly to internal and external stakeholders

Required Qualifications

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

Technology Focus

• 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

This role is based in Plano, TX (onsite) with an estimated salary range of USD 179,400 - 204,700 per year for Data Engineer 4.

Salary by location (Data Engineer 4): 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).

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

Additional Notices

• Immigration Authorization Notice: Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (including H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, and other work authorization requiring immigration support from an employer).
• Application Window: 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). Capital One promotes a drug-free workplace. Capital One may consider for employment qualified applicants with a criminal history in accordance with applicable laws. Capital One does not provide, endorse, nor guarantee third-party products, services, educational tools, or other information available through this site.
• Accommodation / Recruiting Contact Information: For accommodations, contact Capital One Recruiting at 1-800-304-9102 or via email at [email protected]. For technical support or questions about the recruiting process, email [email protected].