Senior Data Engineer, Pipelines & Lakehouse Platform

Capital One; Springfield (IL); On-site; USD 286,000 - 327,000; Full time

Job summary

Capital One is seeking a Sr. Staff Data Engineer to lead and mentor on data pipelines and sharing capabilities across business lines. You will shape technology strategy, craft roadmaps, and hands-on implement solutions using Python, SQL, Java, or Scala in AWS-based lakehouse environments.

You will influence engineering practices, drive platform scalability, and champion operational excellence across the enterprise while collaborating with both internal and external data initiatives.

Qualifications

• Bachelor’s Degree
• At least 9 years of experience in data engineering
• At least 5 years of experience in data architecture
• At least 3 years of experience building applications in AWS

Responsibilities

• Build awareness, increase knowledge and drive adoption of modern technologies
• Strike the right balance between lending expertise and fostering inclusive environment
• Promote a culture of engineering excellence and reuse of solutions
• Effectively communicate with and influence key stakeholders
• Operate as a trusted advisor for a technology domain
• Lead the way in creating next-generation talent and mentoring others

Skills

AWS

Lakehouse

Kafka

Flink

Spark

Snowflake

Databricks

Python

SQL

Java

Scala

Education

Bachelor's degree

Master's degree

Tools

AWS

Kafka

Flink

Spark

Snowflake

Databricks

Job description

Capital One is seeking a Sr. Staff Data Engineer to lead and mentor on data pipelines and sharing capabilities across business lines. You will shape technology strategy, craft roadmaps, and hands-on implement solutions using Python, SQL, Java, or Scala in AWS-based lakehouse environments.

You will influence engineering practices, drive platform scalability, and champion operational excellence across the enterprise while collaborating with both internal and external data initiatives.