Senior Staff Data Engineer — Remote Data Platform Leader

Capital One

Salt Lake City (UT)

Remote

USD 286,000 - 327,000

Full time

14 days+

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Job summary

Capital One is seeking a Senior Staff Data Engineer (Remote‑Eligible) to define data platforms in the cloud. You will lead architectural strategy, mentor engineers, and drive scalable data solutions across the enterprise.

You’ll work on AWS‑based pipelines, data modeling, and platform initiatives with a team of data engineers, scientists, and product managers. Strong communication and cross‑functional collaboration are essential.

Qualifications

  • Bachelor’s Degree in Computer Science or a related quantitative field.
  • 9+ years of experience in data engineering.
  • 5+ years of experience in data architecture.
  • 3+ years of experience building applications in AWS.
  • 7+ years of experience programming in Python, Java, or Scala.
  • 6+ years of experience designing and developing data pipelines.
  • 4+ years experience in data modeling with relational and non-relational databases.

Responsibilities

  • Lead and contribute across critical data projects with end-to-end ownership.
  • Communicate with stakeholders to shape use cases and implementation.
  • Drive innovation in data platforms and cloud capabilities.
  • Mentor junior engineers and recruit talent to build Capital One Tech.
  • Develop a unified data architecture supporting scalable, governed data flow.

Skills

AWS
Python
Java
Scala
Data engineering
Data architecture

Education

Bachelor's Degree in CS or related
Master's Degree (preferred)

Tools

Snowflake
Databricks
Spark
Kafka
Flink
EMR

Job description

Capital One is seeking a Senior Staff Data Engineer (Remote‑Eligible) to define data platforms in the cloud. You will lead architectural strategy, mentor engineers, and drive scalable data solutions across the enterprise.

You’ll work on AWS‑based pipelines, data modeling, and platform initiatives with a team of data engineers, scientists, and product managers. Strong communication and cross‑functional collaboration are essential.

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