Senior Data Engineer: Cloud-First Pipelines

Capital One; New York (NY); On-site; USD 215,000 - 246,000; Full time

Job summary

Capital One seeks Data Engineers to design, build, and operate cloud-first data solutions leveraging Python, Spark, and modern data warehousing with Databricks and Snowflake.

You will collaborate with agile teams, mentor peers, and implement scalable pipelines while ensuring data security and compliance across platforms. This role targets growth with cutting-edge tech and impact for millions of customers.

Qualifications

• Bachelor's degree or higher in a quantitative field.
• 4+ years of application development experience.
• 2+ years in distributed data and SQL proficiency.
• 2+ years programming in Python, Java, or Scala.
• 2+ years in data pipeline design and development.
• 1+ year data modeling with relational and non-relational DBs.

Responsibilities

• Collaborate with Agile teams to design, develop, test, and support data solutions.
• Influence teams with ML, distributed microservices, lakehouse architecture.
• Use Python, Spark, SQL with Databricks and Snowflake for data warehousing.
• Build scalable, secure cloud data pipelines and platforms.

Skills

Analytical thinking

Communication

Education

Bachelor's Degree or higher in Computer Science or related quantitative field

Tools

Python

Spark

SQL

Databricks

Snowflake

EMR

Glue

NoSQL

Job description

Capital One seeks Data Engineers to design, build, and operate cloud-first data solutions leveraging Python, Spark, and modern data warehousing with Databricks and Snowflake.

You will collaborate with agile teams, mentor peers, and implement scalable pipelines while ensuring data security and compliance across platforms. This role targets growth with cutting-edge tech and impact for millions of customers.