Data Engineer IV: Python, PySpark, AWS

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

Job summary

Capital One is seeking a Data Engineer 4 to design and deliver cloud-first data solutions. You will collaborate with agile teams, mentor peers, and shape data pipelines across distributed systems using Python, Spark, and SQL.

Strong experience with Databricks, Snowflake, and data warehousing is preferred. This on-site role in McLean, VA offers significant impact on financial services data platforms.

Qualifications

• Bachelor’s degree in Computer Science or a related quantitative field.
• 4+ years of application development experience; 2+ years in distributed data.
• 2+ years with SQL and 2+ years in Python, Java, or Scala.
• Experience in data pipeline design and end-to-end data solutions using relational and non-relational databases.

Responsibilities

• Design, develop, test, implement, and support data engineering solutions across platforms.
• Collaborate with Agile teams to deliver robust cloud-first data solutions.
• Mentor data team members and share knowledge across the group.
• Architect reusable data engineering patterns for scalable pipelines.
• Ensure data security, encryption, and access controls.
• Partner with product managers and engineers to enable impactful data products.

Skills

Python

SQL

Spark

Java

Scala

Distributed data

Cloud data pipelines

Education

Bachelor's Degree in Computer Science or related quantitative field

Tools

Databricks

Snowflake

EMR

Glue

Airflow or Dagster

Job description

Capital One is seeking a Data Engineer 4 to design and deliver cloud-first data solutions. You will collaborate with agile teams, mentor peers, and shape data pipelines across distributed systems using Python, Spark, and SQL.

Strong experience with Databricks, Snowflake, and data warehousing is preferred. This on-site role in McLean, VA offers significant impact on financial services data platforms.