Senior Data Engineer (Remote) - Cloud Data Pipelines

Capital One; United States; Remote; USD 209,000 - 262,000; Full time

Benefits offered by this job

Health benefits

Performance-based incentives

Remote-eligible

Job summary

Capital One Shopping is seeking a Data Engineer 5 to lead cloud-first data initiatives and build scalable data pipelines. You’ll collaborate with Agile teams, mentor engineers, and influence data architecture decisions across Snowflake, Databricks, and open-source tools.

The role emphasizes designing end‑to‑end data solutions, applying ML-ready pipelines, and ensuring performance and reliability for millions of customers. Remote-eligible with competitive compensation.

Qualifications

• Bachelor’s Degree or higher in Computer Science or a related quantitative field.
• At least 6 years of experience in application development.
• At least 4 years of experience in distributed data.
• At least 4 years of experience with SQL.
• At least 4 years of experience programming with Python, Java, or Scala.
• At least 4 years of experience designing and developing data pipelines.
• At least 2 years of experience in data modeling and end‑to‑end data solutions.

Responsibilities

• Collaborate with Agile teams to design, develop, test, and support technical solutions.
• Influence data teams with experience in lakehouse architectures and microservices.
• Develop data pipelines and platforms focusing on scalability and reliability.
• Architect data engineering patterns to ensure code quality and reusability.
• Communicate data outcomes clearly to stakeholders to drive alignment.

Skills

Python

SQL

Spark

Java

Scala

Education

Bachelor’s Degree in Computer Science or related field

Tools

Databricks

Snowflake

EMR

Airflow

Job description

Capital One Shopping is seeking a Data Engineer 5 to lead cloud-first data initiatives and build scalable data pipelines. You’ll collaborate with Agile teams, mentor engineers, and influence data architecture decisions across Snowflake, Databricks, and open-source tools.

The role emphasizes designing end‑to‑end data solutions, applying ML-ready pipelines, and ensuring performance and reliability for millions of customers. Remote-eligible with competitive compensation.