Senior Data Engineer: Scalable Cloud Data Pipelines

Capital One; McLean (VA); Presencial; USD 197.000 - 225.000; Jornada completa

Descripción de la vacante

Capital One in McLean, VA is seeking a Data Engineer to design, build, and deliver cloud-first data solutions. You’ll work with Agile teams to create scalable pipelines using Python, Spark, and Databricks/Snowflake, ensuring data quality, security, and compliance across data platforms.

You’ll mentor peers and participate in the broader data community to drive innovation. The role requires 4+ years of experience in data engineering, strong SQL, and experience with distributed systems and

Formación

• Bachelor's degree in CS or related quantitative field.
• 4+ years of application development experience.
• 2+ years of distributed data experience.
• 2+ years of SQL experience.
• 2+ years of one programming language (Python, Java, or Scala).
• 2+ years in data pipeline design and development.
• 1+ year in data modeling and end-to-end data solutions.

Responsabilidades

• Design, develop, test, implement and support data solutions in full-stack tools.
• Collaborate with teams to leverage ML, microservices, lakehouse architecture and full-stack systems.
• Build data pipelines and cloud-first data solutions focusing on scalability and performance.
• Architect common data engineering patterns for quality, maintainability and reusability.
• Communicate data outcomes clearly to stakeholders to drive alignment.
• Mentor other data community members and promote best practices.

Conocimientos

Python

SQL

Spark

Distributed data

Data pipelines

Data modeling

Cloud computing

Mentoring

Communication

Educación

Bachelor's degree in Computer Science or related field

Herramientas

Databricks

Snowflake

EMR

Airflow

Dagster

MongoDB

Cassandra

DynamoDB

Redshift

Descripción del empleo

Capital One in McLean, VA is seeking a Data Engineer to design, build, and deliver cloud-first data solutions. You’ll work with Agile teams to create scalable pipelines using Python, Spark, and Databricks/Snowflake, ensuring data quality, security, and compliance across data platforms.

You’ll mentor peers and participate in the broader data community to drive innovation. The role requires 4+ years of experience in data engineering, strong SQL, and experience with distributed systems and