Senior Data Engineer - Cloud Data Solutions

Capital One; McLean (VA); On-site; USD 140,000 - 180,000; Full time

Job summary

Capital One is seeking a Data Engineer 5 to join Enterprise Risk Management in McLean, VA. The role focuses on building cloud-first data solutions, leading data pipelines and collaborating across Agile teams to deliver scalable, robust data platforms for risk management.

You will mentor peers, drive architectural decisions, and work with Snowflake, Databricks, Spark, and NoSQL databases while advancing data observability and governance. Strong SQL and programming skills required.

Qualifications

• Bachelor's degree or higher in Computer Science or related quantitative field.
• 6+ years of application development experience.
• 4+ years in distributed data environments.
• 4+ years of SQL experience.
• 4+ years programming in Python, Java, or Scala.
• 4+ years designing and developing data pipelines.
• 2+ years data modeling with relational and non-relational databases.

Responsibilities

• Collaborate with Agile teams to design, develop, test, and support technical solutions.
• Lead a team of developers, data analysts and data scientists on ML and lakehouse projects.
• Build cloud-first data solutions using Python, Spark and cloud data warehouses.
• Mentor peers and stay current with data trends and new technologies.
• Deliver robust data solutions to empower customers and drive outcomes.
• Design scalable and maintainable data pipelines and platforms.
• Communicate data concepts and outcomes to stakeholders to achieve alignment.
• Drive large-scale data initiatives end-to-end and evaluate platform choices.

Skills

Python

SQL

Spark

Databricks

Snowflake

NoSQL

Education

Bachelor's Degree in Computer Science or related field

Tools

EMR

Airflow

Dagster

MongoDB

Cassandra

DynamoDB

Job description

Capital One is seeking a Data Engineer 5 to join Enterprise Risk Management in McLean, VA. The role focuses on building cloud-first data solutions, leading data pipelines and collaborating across Agile teams to deliver scalable, robust data platforms for risk management.

You will mentor peers, drive architectural decisions, and work with Snowflake, Databricks, Spark, and NoSQL databases while advancing data observability and governance. Strong SQL and programming skills required.