Lead Data Engineer: Cloud-First Data Pipelines

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

Job summary

Capital One in McLean, VA seeks a Data Engineer 4 to drive cloud-first data solutions across teams. You will design, build, and optimize data pipelines using Python, Spark, Databricks, and Snowflake, influencing a team of engineers, analysts, and scientists.

The role emphasizes scalable architecture, data security, and collaboration with product managers to deliver impactful financial services experiences for millions of customers.

Qualifications

• Bachelor's degree or higher in a quantitative field.
• 4+ years in application development.
• 2+ years in distributed data.
• 2+ years in SQL.
• 2+ years in one programming language (Python/Java/Scala).
• 2+ years in data pipeline design and development.
• 1+ year in data modeling using relational and non-relational databases.

Responsibilities

• Collaborate with Agile teams to design, develop, test, and support data solutions.
• Mentor engineers and data scientists and influence across teams.
• Build cloud-based data pipelines with focus on scalability and security.
• Partner with product managers and engineers to deliver cloud-first data solutions.
• Design data architectures and enforce reusable patterns.
• Communicate data outcomes to stakeholders.

Skills

Python

Spark

SQL

Cloud

Mentoring

Team collaboration

Data modeling

Education

Bachelor's degree in Computer Science or related field

Tools

Databricks

Snowflake

EMR

Job description

Capital One in McLean, VA seeks a Data Engineer 4 to drive cloud-first data solutions across teams. You will design, build, and optimize data pipelines using Python, Spark, Databricks, and Snowflake, influencing a team of engineers, analysts, and scientists.

The role emphasizes scalable architecture, data security, and collaboration with product managers to deliver impactful financial services experiences for millions of customers.