Senior Data Engineer: Cloud-Native Data Pipelines

Capital One; Richmond (TX); Hybrid; USD 179,000 - 205,000; Full time

Job summary

Capital One is seeking a Data Engineer to join a fast-paced, transformational team focused on cloud-first data solutions. You will collaborate with Agile teams to design, build, and support data pipelines using Python, Spark, and modern data warehouses such as Databricks and Snowflake.

You will influence other engineers, analysts, and data scientists while driving scalability, security, and operational efficiency across data platforms.

Qualifications

• Bachelor's degree in a quantitative field or Computer Science.
• 4+ years of application development experience.
• 2+ years in distributed data.
• 2+ years of SQL.
• 2+ years in Python/Java/Scala.
• 2+ years in data pipeline design and development.
• 1+ year in end-to-end data solutions using relational and non-relational databases.

Responsibilities

• Collaborate with Agile teams to design and implement data solutions.
• Influence a team of developers, data analysts, and data scientists.
• Use Python, Spark, and cloud data warehousing platforms like Databricks and Snowflake.
• Mentor data community members and share new tech trends.
• Design scalable, secure cloud data pipelines and platforms.

Skills

SQL

Python

Spark

Data pipelines

Distributed data

Education

Bachelor's Degree in Computer Science or related field

Tools

Databricks

Snowflake

EMR

Glue

Redshift

Job description

Capital One is seeking a Data Engineer to join a fast-paced, transformational team focused on cloud-first data solutions. You will collaborate with Agile teams to design, build, and support data pipelines using Python, Spark, and modern data warehouses such as Databricks and Snowflake.

You will influence other engineers, analysts, and data scientists while driving scalability, security, and operational efficiency across data platforms.