Remote Data Engineer 5: Cloud Pipelines & Data Architecture

Capital One; McLean (VA); Remote; USD 209,000 - 262,000; Full time

Job summary

Capital One Shopping Tech is seeking a Data Engineer 5 (Remote-Eligible) to join a fast-paced, collaborative team. You will design and deliver cloud-first data solutions, mentor peers, and drive end-to-end data initiatives across platforms like Snowflake and Databricks.

The role demands strong Python/SQL/Scala skills, 4+ years in data pipelines and modeling, and experience with distributed data architectures. Remote work is available with salary ranges reflecting US locations.

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 and SQL.
• At least 4 years of experience programming in 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 data solutions.
• Lead and mentor other data engineers, analysts, and data scientists.
• Develop cloud-based data warehousing solutions using Snowflake or Databricks.
• Design scalable, robust data pipelines with high performance and reliability.
• Evaluate platform choices and drive architectural decisions across data platforms.

Skills

Python

SQL

Java

Scala

Data modeling

Distributed data

Education

Bachelor's degree in Computer Science or related field

Master's degree in Computer Science or related field

Tools

Databricks

Snowflake

EMR

Spark

Job description

Capital One Shopping Tech is seeking a Data Engineer 5 (Remote-Eligible) to join a fast-paced, collaborative team. You will design and deliver cloud-first data solutions, mentor peers, and drive end-to-end data initiatives across platforms like Snowflake and Databricks.

The role demands strong Python/SQL/Scala skills, 4+ years in data pipelines and modeling, and experience with distributed data architectures. Remote work is available with salary ranges reflecting US locations.