Data Engineer 4 Mid

D8 LooP; Wilmington (DE); On-site; USD 120,000 - 160,000; Full time

Job summary

Capital One in Wilmington, DE seeks data engineering professionals to design end‑to‑end data solutions across relational and non‑relational databases. You will work with Python, SQL, Spark, and cloud data platforms in a fast‑paced, collaborative environment.

Experience with data warehousing (Snowflake/Redshift), Airflow, and data observability tooling is preferred, along with strong governance and security practices across data workloads.

Qualifications

• 1+ year of data modeling and designing end‑to‑end data solutions using relational and non‑relational databases
• 2+ years of Python, SQL or Scala experience
• 2+ years SQL experience
• 4+ years designing and operating data workloads in a public cloud (AWS/Azure/GCP)
• 2+ years data observability or orchestration tooling (Airflow, Dagster, etc.)
• 4+ years experience with data warehousing (Snowflake/Redshift)
• 2+ years experience with real‑time or streaming data pipelines
• 4+ years cloud experience (AWS/GCP/Azure)
• Experience with data governance and security standards

Skills

Python

SQL

Spark

Data observability

Streaming

AWS

GCP

Governance & security

Warehousing

Airflow

Snowflake

Redshift

Tools

Airflow

Snowflake

Redshift

Job description

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

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? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who solve real problems and meet real customer needs.

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

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