Senior Data Engineer

Senior Data Engineer

We are looking for driven individuals to join our team of passionate Data Engineers in creating Capital One’s next generation of data products and capabilities.

• You will build data pipeline frameworks to automate high-volume and real-time data delivery for our streaming data hub

• You will build data APIs and data delivery services that support critical operational and analytical applications for our internal business operations, customers and partners

• You will transform complex analytical models into scalable, production-ready solutions

• You will continuously integrate and ship code into our AWS Production environments

• You will develop applications from ground up using modern technology stacks

• You will work directly with Product Owners and customers to deliver data products in a collaborative and agile environment

Responsibilities:

• Develop sustainable data driven solutions with current new gen data technologies to meet the needs of our organization and business Customers

• Ability to grasp new technologies rapidly as needed to progress varied initiatives

• Break down data issues and resolve them

• Build robust systems with an eye on the long term maintenance and support of the application

• Leverage reusable code modules to solve problems across the team and organization

• Utilize a working knowledge of multiple development languages

What we have:

• A startup mindset with the backing of a top 10 bank

• Monthly Innovation Days dedicated to your personal and professional development

• Days dedicated to test driving cutting edge technologies

• Flexible work schedules

• Convenient office locations

• Generous salary and merit-based pay incentives

• Your choice of equipment (MacBook/PC, iPhone/Android Device)

Basic Qualifications:

• Bachelor’s Degree

• At least 2 years of enterprise data engineering experience with Python and Spark
• At least 2 years of enterprise experience with building ETL Data Pipelines and Big Data Transformations
• At least 2 years of enterprise experience with SQL and Kafka
• At least 2 years of enterprise experience in a Public Cloud Environment

Preferred Qualifications:

• Master's Degree

• 4+ years of enterprise data engineering experience with Python and Spark
• 4+ years of enterprise experience with building ETL Data Pipelines and Big Data Transformations
• 4+ years of enterprise experience with SQL and Kafka
• 2+ years of enterprise software engineering experience with Java
• 2+ years of enterprise experience with Snowflake and Tableau
• 1+ years of enterprise AWS experience
• AWS Certification

At this time, Capital One will not sponsor a new applicant for employment authorization for this position.