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 RecruitingAccommodation@capitalone.com. For technical support or questions about the recruiting process, email Careers@capitalone.com.
