Senior Data Engineer (Python, AWS) — Cloud & Real-Time Data

Capital One; Richmond (VA); On-site; USD 179,400 - 204,700; Full time

Job summary

Capital One seeks a Lead Data Engineer (Python, AWS) to drive a major technology transformation. You will collaborate with Agile teams to design and deploy cloud-based data solutions for millions of customers, using Python, SQL, Scala/Java and modern data warehouses such as Redshift or Snowflake.

The role requires 4+ years in app development, 2+ years in big data and 1+ year in cloud platforms (AWS/Azure/Google). Rich opportunities for mentoring, innovation, and impact on financial empowerment.

Qualifications

• Bachelor’s Degree in a related field.
• At least 4 years of application development experience.
• At least 2 years in big data technologies.
• At least 1 year of cloud experience (AWS, Azure or Google Cloud).
• Strong Python, SQL, Scala or Java programming skills.
• Experience with distributed data/compute tools and data warehousing.

Responsibilities

• Collaborate with Agile teams to design, develop, test, and support technical solutions.
• Work with developers experienced in ML, distributed microservices, and full-stack systems.
• Use Java, Scala, Python and cloud data warehousing services like Redshift or Snowflake.
• Mentor other engineers and stay current with tech trends and communities.
• Deliver cloud-based solutions that empower customers and drive financial outcomes.
• Perform unit tests and code reviews to ensure robust, well-optimized code.

Skills

Python

SQL

Scala

Java

Agile engineering practices

Mentoring

Team collaboration

Education

Bachelor's Degree

Tools

AWS

Azure

Google Cloud

Redshift

Snowflake

Hadoop

Kafka

Spark

MongoDB

MySQL

EMR

Unix/Linux

Job description

Capital One seeks a Lead Data Engineer (Python, AWS) to drive a major technology transformation. You will collaborate with Agile teams to design and deploy cloud-based data solutions for millions of customers, using Python, SQL, Scala/Java and modern data warehouses such as Redshift or Snowflake.

The role requires 4+ years in app development, 2+ years in big data and 1+ year in cloud platforms (AWS/Azure/Google). Rich opportunities for mentoring, innovation, and impact on financial empowerment.