Senior Data Engineer: Cloud Data Pipelines

Capital One National Association

Chicago, Northern (IL, KY)

Hybrid

USD 179,000 - 205,000

Full time

2 days ago

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Job summary

Capital One is seeking a Data Engineer 4 in Chicago, IL to design and deliver cloud-first data solutions. You'll collaborate with agile teams to build scalable pipelines using Python, Spark, SQL and modern cloud platforms like Databricks and Snowflake.

The role emphasizes data modeling, security, and coaching teammates while evolving data architectures to empower millions of customers. Requires a BS degree in a quantitative field and 4+ years in application development, 2+ years in distributed

Qualifications

Bachelor's Degree or higher in Computer Science or related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)
At least 4 years of experience in application development
At least 2 years of experience in distributed data
At least 2 years of experience with SQL
At least 2 years of experience with one programming language (Python, Java, or Scala)
At least 2 years of experience in data pipeline design and development
At least 1 year of experience in data modeling and designing end-to-end data solutions using relational and non-relational databases

Responsibilities

Collaborate with Agile teams to design, develop, test, implement, and support technical solutions
Influence a team of developers, data analysts and data scientists
Utilize Python and Spark with relational and NoSQL databases
Deliver cloud-first data solutions and scalable pipelines
Architect and enforce common data engineering design patterns
Communicate technical concepts and data outcomes clearly to stakeholders