Senior Data Engineer — Cloud Data Pipelines

Capital One; Illinois; On-site; USD 197,000 - 225,000; Full time

Job summary

Capital One in McLean, VA is seeking a Data Engineer 4 to design, build and deliver cloud data solutions that empower financial services. You will collaborate with agile teams, contribute to lakehouse architectures, and mentor teammates while tackling complex data challenges at scale.

The role requires 4+ years in data engineering, strong SQL and Python/Java/Scala skills, and experience with distributed data systems and cloud platforms like Databricks, Snowflake, and AWS.

Qualifications

• Bachelor’s degree in Computer Science or related quantitative field.
• At least 4 years in application development.
• At least 2 years in distributed data projects.
• At least 2 years of SQL experience.
• At least 2 years in one programming language (Python, Java, or Scala).
• At least 2 years in data pipeline design and development.
• At least 1 year in data modeling with relational and non-relational databases.

Responsibilities

• Collaborate with Agile teams to design, develop, test, and support data solutions.
• Influence teams with expertise in lakehouse architectures and cloud data platforms.
• Use Python/Spark with SQL and NoSQL databases and cloud warehouses.
• Mentor data engineers and share knowledge across communities.
• Deliver cloud-first data solutions that scale for millions of users.
• Design and implement scalable data pipelines with secure, compliant patterns.

Skills

Python

SQL

Spark

Distributed data

Data pipelines

Cloud platforms

NoSQL

Machine learning

Education

Bachelor's degree

Tools

Databricks

Snowflake

EMR

Spark

Glue

Airflow

Dagster

MongoDB

Cassandra

DynamoDB

Redshift

Job description

Capital One in McLean, VA is seeking a Data Engineer 4 to design, build and deliver cloud data solutions that empower financial services. You will collaborate with agile teams, contribute to lakehouse architectures, and mentor teammates while tackling complex data challenges at scale.

The role requires 4+ years in data engineering, strong SQL and Python/Java/Scala skills, and experience with distributed data systems and cloud platforms like Databricks, Snowflake, and AWS.