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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer 4 (Manager, IC) - **Company:** Capital One Financial Corporation - **Location:** Richmond, VA, United States - **Salary:** $197,300.0 - $225,100.0 - **Contract:** Internship / Graduate position - **Skills:** Java (Programming Language), Agile Methodology, Artificial Intelligence, Airflow, Amazon Web Services, Data Analysis, Microsoft Azure, Cloud Database, Software Quality, Data Architecture, Information Engineering, Data Systems, Data Warehousing, Software Design Patterns, Distributed Data Store, Amazon DynamoDB, Python (Programming Language), Machine Learning, MongoDB, NoSQL, Open Source Technology, Standard Sql, DataOps, Scala (Programming Language), Software Engineering, SQL Databases, Data Streaming, Google Cloud, Snowflake, Apache Spark, Build Management, Information Technology, Cassandra, Non-relational Database, Data Management, Tools for Reporting, Splunk, Data Pipelines, Databricks, Programming Languages, Microservices - **Published:** September 20, 2026 - **Apply:** https://www.capitalonecareers.com/job/richmond/data-engineer-4-manager-ic/1732/100871864720 ## About the Role * 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, * 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 At this time, 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). ## 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 forefront of driving a major transformation across Capital One. In Risk Tech, we provide the foundation for Capital One to thrive in an uncertain world. Our engaged, empowered, and intelligent people produce outstanding products, working toward the common goal of transforming risk management with technology. We build data-driven tools that use machine learning to prevent risks & automatically detect issues before they impact our customers, our business, or our communities. In this role at Risk Tech, you will work with our GRC team and partners across the company to build and deploy proprietary solutions for Risk management that are powered by state-of-the-art AI technology. Our products, enhanced with the transformative power of AI, are central to our business and deliver tremendous customer value. 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 * Implement data security standards, including encryption at rest/transit and fine-grained access control, ensuring compliance with data privacy regulations ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Our journey with Spring Boot in a microservice architecture](https://www.wearedevelopers.com/videos/511-our-journey-with-spring-boot-in-a-microservice-architecture) - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) - [NoSQL Data Modeling for Front-end Developers](https://www.wearedevelopers.com/videos/297-nosql-data-modeling-for-front-end-developers) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)