Senior Data Engineer - Python/SQL & Data Orchestration

PNC

Birmingham (AL)

On-site

USD 91,000 - 186,000

Full time

10 days ago

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Job summary

PNC is seeking a Security Testing Specialist Sr in a role based in Birmingham, AL (with options across several major hubs). The candidate will lead and mentor teams, design robust data solutions, and ensure secure, scalable data infrastructure across platforms.

Strong Python/SQL skills and 5+ years of experience are required. Base salary is competitive with a broad range ($91,000.00 – $185,900.00) and is incentive eligible, reflecting geographic location, market data and personal performance.

Qualifications

  • 5+ years of industry experience in data engineering or related field.
  • Bachelor's degree or equivalent combination.
  • Proficiency in Python, SQL, and data modeling.

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

Python
SQL
Data Modeling
Analytical Thinking

Education

Bachelor's Degree

Tools

Git

Job description

PNC is seeking a Security Testing Specialist Sr in a role based in Birmingham, AL (with options across several major hubs). The candidate will lead and mentor teams, design robust data solutions, and ensure secure, scalable data infrastructure across platforms.

Strong Python/SQL skills and 5+ years of experience are required. Base salary is competitive with a broad range ($91,000.00 – $185,900.00) and is incentive eligible, reflecting geographic location, market data and personal performance.

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