Data Engineer 5 Mid

D8 LooP; Chicago (IL); On-site; USD 110,000 - 160,000; Full time

Job summary

Capital One in Chicago, IL is hiring a Data Engineer with 6+ years of experience to design, build and operate data platforms. The role supports relocation or visa sponsorship and sits in a fast-paced, collaborative delivery team.

You will work across relational and non-relational stores, use Python, SQL, Spark, and cloud services (AWS/Azure/GCP) to create end‑to‑end data solutions, implement data quality controls, and enable scalable analytics.

Qualifications

• 6+ years of data engineering experience.
• Experience with relational and non-relational data stores.
• Proficiency in Python, SQL, Spark, and cloud services.

Skills

Python

SQL

Spark

Warehousing

Airflow / orchestration

Streaming

GCP

AWS

Java

Scala

Governance & security

Tools

Airflow/Dagster

Monte Carlo

Splunk

Snowflake

Redshift

Job description

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

Chicago, IL Mid Relocation / visa support in the posting 6+ yrs Data Engineer posted 3 d ago

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 2 years 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 4 years of experience programming with at least one of the following languages: Python, Java, or Scala must have
• SQL At least 4 years of experience with SQL must have
• Spark 5+ 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 5+ years of experience designing and supporting data warehousing solutions (e.g., Snowflake, Redshift) must have
• Airflow / orchestration 3+ years of experience working on data observability (e.g., Monte Carlo, Splunk) or data orchestration tools (e.g., Airflow, Dagster)
• AWS 5+ 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
• Java At least 4 years of experience programming with at least one of the following languages: Python, Java, or Scala not practised here
• Scala At least 4 years of experience programming with at least one of the following languages: Python, Java, or Scala not practised here
• 3+ years of experience working on data observability (e.g., Monte Carlo, Splunk) or data orchestration tools (e.g., Airflow, Dagster)
• Streaming 5+ years of experience designing, implementing, and operating real-time or streaming data pipelines
• 5+ 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
• GCP 5+ 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 Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. not practised here