Senior Data Engineer

PNC

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Lakewood, COStrongsville, OHPhoenix, AZPittsburgh, PABirmingham, ALDallas, TXCleveland, OH
Employment
Full-time
Posted
4 days ago
Freshness
Confirmed live yesterday

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Salary context

How this pay compares to similar roles

Similar $168k
$109k most similar roles pay here $217k

This listing doesn't post a salary. Most similar roles pay $137,325–$198,187.

Based on 240 similar postings.

Employer

About PNC

PNC is one of the largest diversified financial services institutions in the U.S., based in Pittsburgh, PA, it provides retail banking, corporate banking, and asset management.

PNC currently has 127 open roles on FindRole.

Listed pay typically runs $94,875–$172,500 across 7 roles with salary data.

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At a glance

TL;DR · Senior Data Engineer

Data Engineer Senior (Python/SQL) serves as a technical leader within the technology security organization, where the role involves developing, supporting, and implementing data solutions for multiple applications to meet specific business objectives. The individual will lead data requirement analysis, oversee the preparation of data solutions, and build scalable infrastructure across various platforms. Day-to-day responsibilities include designing custom mechanisms for tracking pipeline states, managing incremental loads, and ensuring data accuracy during migrations. The role requires advanced mastery of Python and SQL, with specific experience in Oracle SQL, Git, Linux environments, and orchestration tools like Cron, Airflow, and Kafka. Candidates must also possess skills in ETL/ELT patterns, CI/CD pipelines, and resource optimization to eliminate processing bottlenecks while maintaining high engineering standards and mentoring teammates through complex technical tasks.

What does a Data Engineer earn?

Median $162000 from 191 postings across 57 companies.

See salary data

What you'll do

  • Develop, support, and implement data solutions for multiple applications to meet business objectives.
  • Write clean, reusable, and maintainable Python code following established software engineering standards.
  • Manage large-scale data storage and interaction using Oracle SQL with a focus on query optimization.
  • Design and build data service infrastructure across various platforms while managing complex task dependencies via Airflow or Kafka.
  • Develop custom mechanisms for tracking pipeline states, failures, and logging operational metadata.
  • Lead the data requirement analysis and preparation process for targeted technical solutions.
  • Perform code reviews and mentor team members to ensure high engineering quality and consistent standards.
  • Manage data migration and transformation processes to ensure accuracy and security of information.

What we're looking for

  • Bachelor’s degree or a comparable combination of education, job-specific certifications, and experience.
  • 5+ years of industry-relevant experience.
  • Advanced mastery in Python with expertise in writing clean, reusable code and following software engineering standards.
  • Expertise in Oracle SQL for managing large tables, including indexing, schema strategies, and query optimization.
  • Experience with ETL/ELT patterns and developing custom data quality frameworks and automated testing.
  • Proficiency in orchestrating workflows using Cron, Airflow, and Kafka.
  • Knowledge of DevOps, CI/CD pipelines, and cloud solution ecosystems.
  • Ability to lead code reviews, mentor teammates, and define coding standards.

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