Senior Data Engineer: Python/SQL for Data Solutions & ETL

PNC

Lakewood (CO)

On-site

USD 91,000 - 186,000

Full time

22 hours ago
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Benefits offered by this job

Medical coverage
Dental & vision
401(k) matching

Job summary

PNC is seeking a Security Testing Specialist Sr in its Technology Security team, with base locations including Denver, CO; Phoenix, AZ; Birmingham, AL; Dallas, TX; Pittsburgh, PA or Cleveland, OH. The role emphasizes Python mastery, data engineering, and DevOps practices within an in-office environment.

As a key data solutions leader, you will guide data migrations, CI/CD pipelines, and performance optimizations while mentoring engineers and balancing delivery with technical debt reduction.

Qualifications

  • University degree required; 5+ years of industry-relevant experience.
  • Certifications are often required.
  • In lieu of a degree, a comparable combination of education, certifications and experience may be considered.

Responsibilities

  • Leads in developing, supporting and implementing data solutions for multiple applications to meet business objectives and user requirements.
  • Leads data requirement analysis and the data preparation process development for targeted data solutions.
  • Leads in designing and building data service infrastructure on multiple data platforms, according the workflow.
  • Oversees the development and implementation of data solutions for multiple applications to ensure its scalability, availability and maintainability.
  • Consults on data migration and transformation to ensure the accuracy and security of data solutions.

Skills

Analytical Thinking
Data Analytics
Data Mining
Data Science
Machine Learning
Python
SQL

Education

Bachelors

Tools

Git
Linux
Oracle SQL

Job description

PNC is seeking a Security Testing Specialist Sr in its Technology Security team, with base locations including Denver, CO; Phoenix, AZ; Birmingham, AL; Dallas, TX; Pittsburgh, PA or Cleveland, OH. The role emphasizes Python mastery, data engineering, and DevOps practices within an in-office environment.

As a key data solutions leader, you will guide data migrations, CI/CD pipelines, and performance optimizations while mentoring engineers and balancing delivery with technical debt reduction.

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