Senior Data Engineer — AI-Driven Risk Transformation

Capital One; Richmond (VA); Vor Ort; USD 179.000 - 205.000; Vollzeit

Zusammenfassung

Capital One is seeking a Data Engineer 4 for ERM Transformation in Richmond, VA. You will design, build, and deploy cloud-first data solutions across Risk Tech while collaborating with data scientists to enable ML-driven risk management.

You will work with Python, SQL, Spark and cloud data stacks to deliver scalable pipelines, strong data quality, and secure access. This role requires mentoring teammates and communicating outcomes to stakeholders.

Qualifikationen

• Bachelor's degree or higher in Computer Science or a related quantitative field.
• At least 4 years of application development experience.
• At least 2 years of experience with SQL and data pipelines.
• Experience with distributed data workloads and cloud data warehousing.

Aufgaben

• 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.

Kenntnisse

Python

SQL

Spark

Java

Scala

Data pipelines

Cloud

Ausbildung

Bachelor's Degree in Computer Science or related field

Tools

Databricks

Snowflake

EMR

Glue

Airflow

Dagster

MongoDB

Cassandra

DynamoDB

Jobbeschreibung

Capital One is seeking a Data Engineer 4 for ERM Transformation in Richmond, VA. You will design, build, and deploy cloud-first data solutions across Risk Tech while collaborating with data scientists to enable ML-driven risk management.

You will work with Python, SQL, Spark and cloud data stacks to deliver scalable pipelines, strong data quality, and secure access. This role requires mentoring teammates and communicating outcomes to stakeholders.