Senior Data Engineer: Cloud Data Platforms & ML

Capital One; McLean (VA); On-site; USD 197,000 - 225,000; Full time

Job summary

Capital One is seeking Data Engineers who will design, build and support cloud-first data solutions across teams. You’ll work with Python and Spark, Databricks and Snowflake, and mentor others while shaping scalable data pipelines and secure architectures.

You’ll influence developers, data analysts and data scientists, driving a major transformation in a fast-paced environment while staying current on data trends and new technologies.

Qualifications

• Bachelor's degree or higher in CS or a related field.
• 4+ years in application development; 2+ years in distributed data.
• 2+ years SQL; 2+ years Python/Java/Scala; data pipeline design.
• Experience with relational and non-relational databases and warehousing.

Responsibilities

• Collaborate with Agile teams to design, develop, test, and support data solutions.
• Influence a team with ML, microservices, lakehouse architecture and full-stack systems.
• Utilize Python, Spark and cloud data warehousing platforms like Databricks and Snowflake.
• Design and deliver cloud-first data solutions and scalable pipelines.
• Ensure data security, encryption, and access controls across platforms.

Skills

SQL

Python

Java

Scala

Distributed data

Data pipelines

Cloud platforms

Mentoring

Education

Bachelor's Degree or higher in Computer Science or related field

Tools

Databricks

Snowflake

EMR

Spark

Glue

Airflow

Dagster

MongoDB

Cassandra

DynamoDB

Job description

Capital One is seeking Data Engineers who will design, build and support cloud-first data solutions across teams. You’ll work with Python and Spark, Databricks and Snowflake, and mentor others while shaping scalable data pipelines and secure architectures.

You’ll influence developers, data analysts and data scientists, driving a major transformation in a fast-paced environment while staying current on data trends and new technologies.