Senior Data Engineer, Risk Tech: Cloud ML & Pipelines

Capital One

McLean (VA)

Hybrid

USD 230,000 - 262,000

Full time

14 days+

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Job summary

Capital One is seeking a senior data engineer to drive end-to-end data initiatives across Risk Tech, partnering with data scientists, analysts, and software engineers. You’ll design scalable data pipelines, mentor peers, and influence architectural decisions across platforms such as Snowflake and Databricks.

The role requires a strong background in distributed data, SQL, and programming with Python/Java/Scala, with 4+ years in data modeling and pipeline design.

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 distributed data experience.
  • At least 4 years of SQL experience.
  • At least 4 years programming in Python, Java, or Scala.
  • At least 4 years designing and developing data pipelines.
  • At least 2 years data modeling with relational and non-relational databases.

Responsibilities

  • Collaborate with Agile teams to design and implement data solutions.
  • Lead end-to-end data initiatives and architectural decisions.
  • Architect data platforms with scalable, resilient pipelines.
  • Mentor engineers and align stakeholders on data outcomes.
  • Evaluate platform choices (Snowflake vs Databricks) based on requirements.

Skills

Distributed data
SQL
Python/Java/Scala
Data pipelines
Data modeling
Cloud (AWS/Azure/GCP)

Education

Bachelor’s degree or higher in CS or quantitative field

Tools

Spark
EMR/Glue/Databricks
NoSQL/Relational DBs

Job description

Capital One is seeking a senior data engineer to drive end-to-end data initiatives across Risk Tech, partnering with data scientists, analysts, and software engineers. You’ll design scalable data pipelines, mentor peers, and influence architectural decisions across platforms such as Snowflake and Databricks.

The role requires a strong background in distributed data, SQL, and programming with Python/Java/Scala, with 4+ years in data modeling and pipeline design.

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