Data Engineer - Data & Analytics Technology

PNC

Quick summary

Work type: On-site
Location: Pittsburgh, PAStrongsville, OH
Posted: 5 days ago
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $159k

$104k most similar roles pay here $201k

This listing doesn't post a salary. Most similar roles pay $126,800–$192,050.

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 183 open roles on FindRole.

Listed pay typically runs $86,250–$172,500 across 72 roles with salary data.

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At a glance

TL;DR · Data Engineer - Data & Analytics Technology

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As a Data Engineer at PNC's DnA Technology organization, you will collaborate with users and developers to define data service requirements and develop scalable, secure solutions for multiple applications. Your role involves designing and building data infrastructure on various platforms, ensuring the accuracy and security of data through migration and transformation processes. You will work closely with business partners to support and implement data services that meet user needs and enhance overall workflow efficiency. The ideal candidate possesses strong skills in data engineering, including experience with data migration, transformation, and platform design. Knowledge of relevant technologies and tools is essential for this role, which operates at a mid-level seniority within the organization.

Skills

Python SQL ETL Data Warehousing Big Data Technologies Cloud Services CI/CD Docker Kubernetes AWS Azure Git Jenkins PostgreSQL MongoDB Snowflake Hadoop Spark Airflow

What you'll do

Develops and implements data services to meet business objectives.
Designs data service infrastructure on multiple platforms for scalability.
Works with users, developers, and operations to define data requirements.
Implements data migration and transformation processes for accuracy.
Ensures the security and maintainability of data solutions.

What we're looking for

Develops and implements data services for multiple applications.
Designs data service infrastructure on various platforms.
Supports data migration and transformation processes.
Collaborates with users, developers, operations, and business partners.
Ensures scalability, availability, and maintainability of data solutions.

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