Senior Data Engineer, Payment Networks

Capital One National Association; McLean (VA); On-site; USD 197,000 - 225,000; Full time

Job summary

Capital One National Association seeks a Data Engineer 4 for Payment Networks to join a fast-paced, collaborative team focused on cloud-first data solutions and scalable data platforms.

The role emphasizes building and optimizing data pipelines, using Python/Spark, SQL, and cloud services like Databricks and Snowflake, while collaborating with data scientists, analysts, and product managers to empower financial insights.

Qualifications

• Bachelor's Degree or higher in Computer Science or related quantitative field.
• 2+ years of experience with SQL and at least 2 years in one programming language (Python, Java, or Scala).
• 4+ years of experience in application development and 2+ years in distributed data or data pipelines.

Responsibilities

• Collaborate with Agile teams to design, develop, test, implement, and support technical solutions.
• Architect and deliver cloud-first data solutions and pipelines with focus on scalability and reliability.
• Build data pipelines and platforms using Python, Spark, SQL and cloud platforms (Databricks, Snowflake).
• Mentor other data community members and share best practices across teams.

Skills

SQL

Python/Java/Scala

Distributed data

Data pipelines

Data modeling

Education

Bachelor's Degree in CS or related field

Job description

Capital One National Association seeks a Data Engineer 4 for Payment Networks to join a fast-paced, collaborative team focused on cloud-first data solutions and scalable data platforms.

The role emphasizes building and optimizing data pipelines, using Python/Spark, SQL, and cloud services like Databricks and Snowflake, while collaborating with data scientists, analysts, and product managers to empower financial insights.