Data Engineer 4 (Python, Oracle Database) Mid

D8 LooP; Illinois; On-site; USD 110,000 - 160,000; Full time

Job summary

Capital One is seeking a Data Engineer 4 to design and implement end-to-end data solutions using Python, SQL, Spark, and cloud services. You will build robust data pipelines in a fast-paced, collaborative environment.

You will work with Snowflake/Redshift, Airflow, and managed data workloads on AWS or GCP, focusing on data quality, observability, and scalable analytics for business insights. Experience with data modeling and governance is valued.

Qualifications

• Experience with data modeling and end-to-end data solution design using relational and non-relational databases.
• Proficiency with Python and one of Java/Scala since required by role.
• Hands-on with SQL and Spark for data processing and analytics.
• Designing and operating data warehousing solutions (Snowflake/Redshift).
• Experience with orchestration tools (Airflow, Dagster) and data observability concepts.

Skills

Python

SQL

Spark

Warehousing

Airflow

AWS

Governance & security

Java

Scala

Streaming

GCP

Job description

Capital One · capitalone.wd12.myworkdayjobs.com · checked today

Data Engineer 4 (Python, Oracle Database) Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive and iterative delivery environment?

Skills, with evidence

At least 1 year of experience in data modeling and designing end-to-end data solutions using both relational and non-relational database systems must have

• Python At least 2 years of experience with one programming language (Python, Java, or Scala) must have
• SQL At least 2 years of experience with SQL must have
• Spark Utilize programming languages such as Python and Spark, along with open-source relational and NoSQL databases must have
• Warehousing 4+ years of experience designing and supporting data warehousing solutions (e.g., Snowflake, Redshift) must have
• Airflow / orchestration 2+ years of experience working on data observability (e.g., Monte Carlo, Splunk) or data orchestration tools (e.g., Airflow, Dagster)
• AWS 4+ years of hands-on experience designing, deploying and operating data workloads in at least one public cloud environment (AWS, Microsoft Azure, or Google Cloud) not practised here
• Governance & security Implement data security standards, including encryption at rest/transit and fine-grained access control, ensuring compliance with data privacy regulations not practised here
• Java At least 2 years of experience with one programming language (Python, Java, or Scala) not practised here
• Scala At least 2 years of experience with one programming language (Python, Java, or Scala) not practised here
• Streaming 4+ years of experience designing, implementing, and operating real-time or streaming data pipelines
• GCP 4+ years of hands-on experience designing, deploying and operating data workloads in at least one public cloud environment (AWS, Microsoft Azure, or Google Cloud) not practised here

2+ years of experience working on data observability (e.g., Monte Carlo, Splunk) or data orchestration tools (e.g., Airflow, Dagster)

4+ years of hands‑on experience designing, deploying and operating data workloads in at least one public cloud environment (AWS, Microsoft Azure, or Google Cloud) not practised here