Data Engineer Assoc

PNC

Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$91,000–$202,800 / yr
Posted
1 day ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $163k
This role $147k
$78k most similar roles pay here $216k

This role pays less than 56% of similar roles. Most pay $126,800–$199,850 — the shaded band above. At the midpoint, this role pays about $147k versus about $163k for comparable roles.

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 152 open roles on FindRole.

Listed pay typically runs $86,250–$185,525 across 58 roles with salary data.

Most-posted roles

View all roles at PNC

At a glance

TL;DR · Data Engineer Assoc

As a Data Engineer Associate at PNC's Security Analytics Hub, you will work remotely to support the team in generating data-driven insights into various risk areas such as cybersecurity and physical security. Your daily tasks include acquiring and mapping datasets according to business partner needs, developing ETL pipelines for data ingestion and basic transformations, building and maintaining database pipeline architectures, and ensuring compliance with data security policies. You must have extensive knowledge of databases, data warehouses, systems integration, and data flows, along with proficiency in SQL and Python. Additionally, you will consult on data migration and transformation to ensure accuracy and security while working within an Agile team environment. This role requires strong analytical skills and experience in big data management and analytics, making it ideal for someone looking to contribute to a scalable and secure data infrastructure at a leading financial institution.

What you'll do

  • Acquire and map datasets to align with business partner needs.
  • Develop ETL pipelines for data ingestion and basic transformations.
  • Build, test, and maintain database pipeline architectures.
  • Form new data validation methodologies and tools.
  • Ensure compliance with data security policies and governance.

What we're looking for

  • Extensive knowledge of databases, data warehouses, systems integrations, and data flows.
  • Proficiency in SQL and Python for coding and ETL processes.
  • Experience working in an Agile team environment.
  • Ability to design and maintain database pipeline architectures.
  • Skills in developing new data validation methodologies and tools.
  • Knowledge of when to use a data lake versus a data warehouse.

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