Senior Data Engineer: Python, Spark, AWS & ETL

Capital One; Richmond (VA); On-site; USD 179,000 - 205,000; Full time

Job summary

Capital One in Richmond, VA seeks a Lead Data Engineer to design, develop, test, and support cloud-based data solutions using Python, Spark, and AWS. You will collaborate with Agile teams and navigate ML, distributed microservices, and full stack components to deliver scalable data platforms.

The role emphasizes performance tuning, code reviews, mentoring, and staying current with tech trends while helping millions of customers achieve financial empowerment.

Qualifications

• Bachelor’s degree required.
• At least 4 years of experience in application development.
• At least 2 years of experience in big data technologies.
• At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)

Responsibilities

• Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies
• Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems
• Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake
• Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community
• Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment
• Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance

Skills

Python

Spark

PySpark

AWS

ETL

Big data

Agile

Open Source

Education

Bachelor’s Degree

Tools

MapReduce

Hadoop

Hive

EMR

Kafka

Gurobi

MySQL

DynamoDB

MongoDB

Cassandra

Redshift

Snowflake

SparkSQL

Job description

Capital One in Richmond, VA seeks a Lead Data Engineer to design, develop, test, and support cloud-based data solutions using Python, Spark, and AWS. You will collaborate with Agile teams and navigate ML, distributed microservices, and full stack components to deliver scalable data platforms.

The role emphasizes performance tuning, code reviews, mentoring, and staying current with tech trends while helping millions of customers achieve financial empowerment.