Senior Data Engineer: Cloud Data Pipelines & ML

Capital One National Association; Plano (TX); On-site; USD 179,000 - 205,000; Full time

Job summary

Capital One is seeking a Data Engineer 4 to design, build, and operate cloud-first data solutions across teams. You will work with Python, Spark, SQL and NoSQL databases, leveraging Databricks and Snowflake in a fast-paced, inclusive environment.

Mentoring, architecture, and data security are key aspects of the role. The position emphasizes collaboration with product managers and engineers to deliver scalable data platforms that empower millions of Americans.

Qualifications

• Bachelor's Degree or higher in Computer Science or related quantitative field.
• At least 4 years of experience in application development.
• 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.

Responsibilities

• Collaborate with Agile teams to design, develop, test, implement, and support technical solutions.
• Influence a team of developers, data analysts, and data scientists with machine learning and data platforms.
• Build data pipelines and platforms with focus on scalability and security.
• Architect and enforce data engineering design patterns for quality and reusability.
• Communicate technical concepts and data outcomes to stakeholders.

Skills

Python

Spark

SQL

NoSQL

Data modeling

Education

Bachelor's degree or higher in Computer Science or related quantitative field

Tools

Databricks

Snowflake

SQL databases

NoSQL databases

AWS/Azure/GCP

Job description

Capital One is seeking a Data Engineer 4 to design, build, and operate cloud-first data solutions across teams. You will work with Python, Spark, SQL and NoSQL databases, leveraging Databricks and Snowflake in a fast-paced, inclusive environment.

Mentoring, architecture, and data security are key aspects of the role. The position emphasizes collaboration with product managers and engineers to deliver scalable data platforms that empower millions of Americans.