Remote Senior Staff Data Engineer — Platform & Pipelines

COMFORT SYSTEMS; Helena (MT); On-site; USD 300,000 - 360,000; Full time

Job summary

Capital One seeks a Sr. Staff Data Engineer to lead the technical strategy for data pipelines and data sharing across lines of business. You will write Python/SQL/Java/Scala, drive scalable lakehouse architectures, and mentor engineers while partnering with stakeholders to deliver enterprise-wide data capabilities.

You will foster engineering excellence, guide technology adoption, and collaborate with teams to accelerate delivery while ensuring resilience and performance across platforms.

Qualifications

• Bachelor's degree required.
• At least 9 years of data engineering experience.
• At least 5 years of data architecture experience.
• At least 3 years of AWS development experience.

Responsibilities

• Build awareness and drive adoption of modern data technologies across the enterprise.
• Balance expert guidance with inclusive leadership to grow the broader team.
• Promote engineering excellence and reuse of internal solutions.
• Communicate effectively with stakeholders at all levels of the organization.
• Act as a trusted advisor for a technology domain and shape its use cases.
• Mentor internal talent and help recruit external talent to bolster Capital One's tech.

Skills

Data engineering

Data architecture

AWS

Python

SQL

Scala

Data modeling

Ontology standards

Machine learning

Big data on AWS

AI tooling

Education

Bachelor's Degree

Masters' Degree

Tools

Kafka

Flink

Spark

Snowflake

Databricks

Job description

Capital One seeks a Sr. Staff Data Engineer to lead the technical strategy for data pipelines and data sharing across lines of business. You will write Python/SQL/Java/Scala, drive scalable lakehouse architectures, and mentor engineers while partnering with stakeholders to deliver enterprise-wide data capabilities.

You will foster engineering excellence, guide technology adoption, and collaborate with teams to accelerate delivery while ensuring resilience and performance across platforms.