Remote Senior Staff Data Engineer - Pipelines Lead

Capital One; Baton Rouge (LA); À distance; USD 286 000 - 327 000; Plein temps

Résumé du poste

Capital One is seeking a Sr. Staff Data Engineer to lead data platform initiatives in a remote-friendly role. You will drive architecture, governance, and scalable data solutions across AWS, Lakehouse, Spark, and Databricks, mentoring engineers and shaping the data strategy.

The team focuses on high-impact pipelines and data sharing across business units. The role requires deep expertise in cloud data platforms, data modeling, and real-time processing, with hands-on coding in

Qualifications

• Bachelor’s degree in CS or related field.
• 9+ years in data engineering.
• 5+ years in data architecture.
• 3+ years building AWS apps.
• 7+ years coding in Python/Java/Scala.
• 6+ years designing data pipelines.
• 4+ years data modeling with SQL/NoSQL.

Responsabilités

• Build awareness and drive adoption of modern data technologies.
• Balance lending expertise with inclusive leadership.
• Promote engineering excellence and reusable solutions.
• Communicate with stakeholders across the enterprise.
• Be a trusted advisor for a technology domain.
• Mentor engineers and recruit external talent.
• Drive strategic direction of data engineering with emerging trends.
• Lead alignment across data systems for a unified architecture.
• Create and socialize data strategy artifacts.
• Own end-to-end design and coding of critical data projects.

Connaissances

Python

SQL

Java

Scala

AWS

Kafka

Flink

Spark

Snowflake

Databricks

Lakehouse

Formation

Bachelor’s Degree in Computer Science or related quantitative field

Master’s Degree in Computer Science or related field

Outils

EMR

Airflow

Dagster

Databricks

Description du poste

Capital One is seeking a Sr. Staff Data Engineer to lead data platform initiatives in a remote-friendly role. You will drive architecture, governance, and scalable data solutions across AWS, Lakehouse, Spark, and Databricks, mentoring engineers and shaping the data strategy.

The team focuses on high-impact pipelines and data sharing across business units. The role requires deep expertise in cloud data platforms, data modeling, and real-time processing, with hands-on coding in