Senior Data Engineer, Cloud Data Platforms

Capital One Group; Northern, New York (KY, NY); Hybrid; USD 197,000 - 225,000; Full time

Job summary

Capital One is seeking a Data Engineer 4 to build cloud-first data solutions and scalable pipelines across payment networks. You will work with Agile teams, ML data scientists, and product managers to deliver robust data platforms using Spark, Databricks, Snowflake, and diverse data stores.

The role emphasizes architectural patterns, data security, and collaboration with cross-functional teams to empower millions of Americans with financial outcomes.

Qualifications

• Bachelor's degree in Computer Science or a related quantitative field.
• At least 4 years of application development experience.
• At least 2 years of distributed data experience.
• At least 2 years of SQL experience.
• At least 2 years of programming in Python, Java, or Scala.
• At least 2 years of data pipeline design and development.
• At least 1 year of data modeling with relational and non-relational databases.

Responsibilities

• Collaborate with Agile teams to design, develop, test, implement, and support technical data solutions.
• Influence a team of developers, data analysts and data scientists with ML and lakehouse architectures.
• Use Python/Scala/SQL with cloud data warehouses (Databricks, Snowflake).
• Design and deliver cloud-first data solutions and scalable data pipelines.
• Architect and enforce reusable data engineering design patterns for quality and maintainability.
• Communicate data outcomes clearly to stakeholders and drive alignment.

Skills

SQL

Programming (Python/Java/Scala)

Data pipelines

Distributed data systems

Data modeling

Education

Bachelor's degree in Computer Science or related quantitative field

Tools

Spark

EMR

Databricks

Snowflake

Redshift

Job description

Capital One is seeking a Data Engineer 4 to build cloud-first data solutions and scalable pipelines across payment networks. You will work with Agile teams, ML data scientists, and product managers to deliver robust data platforms using Spark, Databricks, Snowflake, and diverse data stores.

The role emphasizes architectural patterns, data security, and collaboration with cross-functional teams to empower millions of Americans with financial outcomes.