Remote Senior Data Engineer: Platform & Pipelines Lead

Capital One

Annapolis (MD)

Remote

USD 286,000 - 327,000

Full time

14 days+

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Job summary

Capital One is seeking a Sr. Staff Data Engineer (Remote‑Eligible) to shape data platforms across the enterprise. You will lead technical direction, mentor engineers, and partner with ML, data science, and product teams to deliver scalable, governance‑driven data solutions in AWS.

Strong emphasis on lakehouse architecture and data sharing capabilities. You will drive strategy, influence architectural standards, and deliver end‑to‑end data pipelines while aligning with business goals and

Qualifications

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

Responsibilities

  • Lead end‑to‑end data projects and influence architectural standards.
  • Mentor engineers and contribute to hiring and talent development.
  • Drive data platform strategy, governance and scalable data sharing solutions.
  • Communicate with stakeholders and publish knowledge artifacts.
  • Develop and optimize real‑time and batch data pipelines using Spark, Flink, and related tools.
  • Collaborate on cloud‑native lakehouse architectures and data products.

Skills

Python
Java
Scala
SQL
Data pipelines
AWS
Data architectures
Snowflake
Databricks
Kafka
Spark
Flink
EMR
Airflow
Dagster
NoSQL
Data governance
Mentoring

Education

Bachelor’s Degree in Computer Science or related quantitative field

Tools

AWS
Snowflake
Databricks
Kafka
Flink
Spark
EMR
Airflow
Dagster
NoSQL databases

Job description

Capital One is seeking a Sr. Staff Data Engineer (Remote‑Eligible) to shape data platforms across the enterprise. You will lead technical direction, mentor engineers, and partner with ML, data science, and product teams to deliver scalable, governance‑driven data solutions in AWS.

Strong emphasis on lakehouse architecture and data sharing capabilities. You will drive strategy, influence architectural standards, and deliver end‑to‑end data pipelines while aligning with business goals and

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