Data Engineer Associate, Data & Analytics Technology

PNC

Quick summary

Work type: On-site
Location: Pittsburgh, PAStrongsville, OH
Salary: $75,000–$125,000 / yr
Posted: 5 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $167k

This role $100k

$59k most similar roles pay here $222k

This role pays less than 99% of similar roles. Most pay $126,800–$206,350 — the shaded band above. At the midpoint, this role pays about $100k versus about $167k 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 183 open roles on FindRole.

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

Most-posted roles

View all roles at PNC

At a glance

TL;DR · Data Engineer Associate, Data & Analytics Technology

Role Posting Log in to save

As a Data Engineer Associate in PNC's DnA Technology organization, you will support the development and implementation of data solutions across multiple applications, ensuring they meet business objectives and user requirements. Your day-to-day responsibilities include conducting data requirement analysis, developing data preparation processes, designing scalable data service infrastructure on various platforms, and consulting on data migration to ensure accuracy and security. You will work with big data management tools and analytics frameworks, contributing to the scalability and maintainability of data solutions. This role requires a Bachelor’s degree and at least two years of relevant experience in software development, data architecture, and database structures, along with strong analytical thinking and problem-solving skills.

Skills

Python SQL Big Data Management and Analytics Business Intelligence Data Architecture Database Structures CI/CD AWS Kubernetes Docker PostgreSQL Snowflake Hadoop Spark Terraform Git Jenkins Prometheus Grafana

What you'll do

Analyzes data requirements and develops preparation processes for targeted solutions.
Designs and builds data service infrastructure on multiple platforms according to workflow.
Participates in the development of scalable, available, and maintainable data solutions.
Consults on data migration and transformation to ensure accuracy and security.
Assists in implementing data solutions that meet business objectives and user needs.

What we're looking for

Assists in developing and implementing data solutions across multiple applications.
Conducts data requirement analysis and prepares targeted data solutions.
Designs and builds scalable, available, and maintainable data service infrastructure.
Consults on data migration and transformation for accuracy and security.
Requires 2+ years of relevant professional experience in data engineering.

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