Senior Staff Data Engineer — Remote Cloud Pipelines Lead

Capital One

Madison (WI)

Remote

USD 286,000 - 392,000

Full time

9 days ago
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Benefits offered by this job

Remote‑Eligible
Benefits package

Job summary

Capital One is seeking a Senior Staff Data Engineer (Remote‑Eligible) to lead architecture and deliver scalable data solutions in the cloud. You will mentor engineers, collaborate with data scientists and product managers, and drive data platform excellence across the organization.

You will specialize in AWS, Lakehouse architectures, and real‑time data pipelines, while advocating engineering‑level excellence and reusable solutions. Strong leadership and hands‑on delivery are essential.

Qualifications

  • Bachelor’s degree in Computer Science or related field; advanced degree preferred.
  • 9+ years of data engineering experience with 5+ years in data architecture.
  • 3+ years building applications in AWS; 7+ years coding in Python/Java/Scala.
  • 6+ years designing end‑to‑end data solutions and pipelines.

Responsibilities

  • Lead end‑to‑end data projects with ownership of architecture and delivery.
  • Mentor engineers, drive best practices, and recruit talent for the team.
  • Define data strategy and roadmap aligning with enterprise goals.
  • Collaborate with stakeholders to shape use cases and data products.

Skills

Python
Java
Scala
Data architecture
AWS
Data pipelines
Leadership

Education

Bachelor’s degree in CS or related field
Master’s degree

Tools

AWS
Kafka
Flink
Spark
Snowflake
Databricks
Airflow

Job description

Capital One is seeking a Senior Staff Data Engineer (Remote‑Eligible) to lead architecture and deliver scalable data solutions in the cloud. You will mentor engineers, collaborate with data scientists and product managers, and drive data platform excellence across the organization.

You will specialize in AWS, Lakehouse architectures, and real‑time data pipelines, while advocating engineering‑level excellence and reusable solutions. Strong leadership and hands‑on delivery are essential.

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