Data Engineer 4 (IC/Manager) — Cloud Data Solutions

HITEC

Richmond (VA)

On-site

USD 179,000 - 205,000

Full time

2 days ago
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Job summary

Capital One in Richmond, VA is seeking a Data Engineer 4 (Manager, IC) to drive cloud-first data solutions and mentor a team in a fast-paced, collaborative environment. You will design data pipelines with Python, Spark, and platforms like Databricks and Snowflake, collaborating with product managers and engineers to deliver scalable, secure data products.

This role offers competitive salary with a pay range posted for Richmond, eligible bonuses, and a comprehensive benefits package, with

Qualifications

  • Bachelor’s degree in Computer Science or related quantitative field.
  • 4+ years of application development experience.
  • 2+ years of distributed data and data pipelines.
  • 2+ years of SQL and at least one programming language (Python/Java/Scala).
  • Experience with cloud data workloads and data warehousing.

Responsibilities

  • Collaborate with Agile teams to design and implement data solutions.
  • Influence engineers, data analysts and data scientists on ML and lakehouse architectures.
  • Use Python, Spark, and cloud data warehousing platforms such as Databricks and Snowflake.
  • Mentor data community members and stay current with data trends.
  • Deliver cloud-first data solutions enabling financial empowerment.
  • Design and deliver scalable, secure data pipelines with robust performance.
  • Architect data engineering patterns for maintainability.
  • Communicate technical concepts clearly to stakeholders.
  • Ensure data security and compliance in line with regulations.

Skills

Team collaboration
Mentoring
Problem solving
Communication

Education

Bachelor's degree in Computer Science or related field

Tools

Python
Spark
Databricks
Snowflake
SQL
AWS

Job description

Capital One in Richmond, VA is seeking a Data Engineer 4 (Manager, IC) to drive cloud-first data solutions and mentor a team in a fast-paced, collaborative environment. You will design data pipelines with Python, Spark, and platforms like Databricks and Snowflake, collaborating with product managers and engineers to deliver scalable, secure data products.

This role offers competitive salary with a pay range posted for Richmond, eligible bonuses, and a comprehensive benefits package, with

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