Remote Senior Data Engineer: Cloud, Pipelines & ML

Capital One Group; McLean, Northern (VA, KY); Hybrid; USD 209,000 - 262,000; Full time

Benefits offered by this job

Remote-Eligible

Performance incentives

Benefits package

Job summary

Capital One Shopping Tech is seeking a Data Engineer 5 to design, build, and optimize cloud-first data solutions. You will collaborate with agile teams, mentor peers, and drive end-to-end data initiatives using Python, SQL, Spark, and platforms like Databricks or Snowflake.

The role requires strong data modeling, distributed data experience, and the ability to influence architectural decisions while ensuring scalable performance and reliability in a fast-paced environment.

Qualifications

• Bachelor’s degree in Computer Science or a related quantitative field.
• 4+ years of distributed data experience and SQL proficiency.
• 5+ years of application development with Python/Java/Scala.

Responsibilities

• Design, build, and support cloud data solutions and pipelines.
• Collaborate with Agile teams and mentor peers.
• Evaluate data platforms (Snowflake vs Databricks) based on requirements.
• Lead end-to-end data initiatives with scalable, reliable architectures.

Skills

Distributed data

SQL

Python/Java/Scala

Data pipelines

Data modeling

Cloud platforms

Education

Bachelor’s degree in CS or related field

Master’s degree (preferred)

Tools

Databricks

Snowflake

EMR

Spark

Job description

Capital One Shopping Tech is seeking a Data Engineer 5 to design, build, and optimize cloud-first data solutions. You will collaborate with agile teams, mentor peers, and drive end-to-end data initiatives using Python, SQL, Spark, and platforms like Databricks or Snowflake.

The role requires strong data modeling, distributed data experience, and the ability to influence architectural decisions while ensuring scalable performance and reliability in a fast-paced environment.