Senior Data Engineer | AI, Cloud & Data Pipelines

Capital One

Town of Montana (WI)

On-site

USD 179,000 - 225,000

Full time

6 days ago
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Job summary

Capital One is seeking a Data Engineer 4 (Manager, IC) to lead cloud-first data solutions within Risk Tech. You will collaborate with Agile teams to design and implement scalable data pipelines using Python, Spark, and modern data warehouses.

Mentorship and ongoing learning are encouraged as you shape data engineering practices across the organization. The role emphasizes ML-enabled risk management, data security, and cross-functional collaboration with product managers and engineers to deliver

Qualifications

  • Bachelor's degree in CS or related field.
  • 4+ years of application development experience.
  • 2+ years of distributed data experience.
  • 2+ years of SQL experience.
  • 2+ years in one programming language (Python/Java/Scala).
  • 2+ years in data pipeline design and development.
  • 1+ year in data modeling for end-to-end data solutions.

Responsibilities

  • Collaborate with Agile teams to design and deliver technical data solutions.
  • Lead a team of developers, data analysts, and data scientists.
  • Use Python, Spark and cloud data warehousing platforms like Databricks/Snowflake/Redshift.
  • Mentor data community members and stay current with data trends.
  • Deliver cloud-first data solutions for financial empowerment.
  • Design and deliver scalable, secure data pipelines with high reliability.
  • Enforce data engineering design patterns for quality and reuse.
  • Communicate data outcomes clearly to stakeholders.
  • Build robust data platforms with resilience and efficiency.

Skills

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

Education

Bachelor's Degree in Computer Science or related field

Tools

EMR
Spark
Glue
Databricks
Snowflake
Redshift

Job description

Capital One is seeking a Data Engineer 4 (Manager, IC) to lead cloud-first data solutions within Risk Tech. You will collaborate with Agile teams to design and implement scalable data pipelines using Python, Spark, and modern data warehouses.

Mentorship and ongoing learning are encouraged as you shape data engineering practices across the organization. The role emphasizes ML-enabled risk management, data security, and cross-functional collaboration with product managers and engineers to deliver

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