Senior Data Engineer - Cloud Data Pipelines & ML

Capital One; Wilmington (DE); On-site; USD 209,000 - 239,000; Full time

Job summary

Capital One is seeking a Data Engineer 5 in Wilmington, DE to lead end-to-end data initiatives, architect scalable pipelines, and collaborate with data scientists and engineers. The role emphasizes cloud-first data platforms, modern tooling, and mentoring of peers.

The position requires advanced SQL, Python, Spark, and experience with distributed data and data modeling. It offers a salary in the advertised range with bonus potential and comprehensive benefits.

Qualifications

• Bachelor's degree or higher in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)
• At least 6 years of experience in application development (Internship experience does not apply)
• At least 4 years of experience in distributed data
• At least 4 years of experience with SQL
• At least 4 years of experience programming with Python, Java, or Scala
• At least 4 years of experience designing and developing data pipelines
• At least 2 years of experience in data modeling and designing end-to-end data solutions using both relational and non-relational database systems

Responsibilities

• 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
• Serve as a force‑multiplier for the team, balancing deep, hands‑on technical contribution and innovation with mentoring and elevating the skills of peers and junior engineers
• Lead and execute large‑scale, transformative data initiatives from end to end, independently driving critical architectural decisions and evaluating platform choices, such as Snowflake versus Databricks, based on technical and business requirements

Skills

SQL

Python

Spark

Java/Scala

NoSQL

Education

Bachelor's Degree in Computer Science or related field

Tools

Databricks

Snowflake

EMR

Airflow

Git

Job description

Capital One is seeking a Data Engineer 5 in Wilmington, DE to lead end-to-end data initiatives, architect scalable pipelines, and collaborate with data scientists and engineers. The role emphasizes cloud-first data platforms, modern tooling, and mentoring of peers.

The position requires advanced SQL, Python, Spark, and experience with distributed data and data modeling. It offers a salary in the advertised range with bonus potential and comprehensive benefits.