Cloud ETL Data Engineer - Data Pipelines & Warehousing

Allocore; Winding Heights (PA); Hybrid; USD 90,000 - 130,000; Full time

Benefits offered by this job

Health benefits

401k with match

Hybrid work options

Unlimited snacks

Office in Mechanicsburg

Job summary

Allocore is seeking an ETL Data Engineer to design, develop, and maintain data pipelines that move data from multiple sources into data warehouses or data lakes. The role blends development, data integration, and collaboration with product owners to deliver reliable, scalable ETL solutions.

You will work in a hybrid role based in Mechanicsburg, PA, and contribute from day one by building and refining data workflows while expanding your technical scope across cloud data platforms.

Qualifications

• Bachelor's Degree in computer science, information systems, business, accounting, finance, or equivalent experience
• Experience in DevOps culture and best practices for delivering high-quality software
• Proficiency with SQL, API, and cloud-based data sources and ETL workflow management

Responsibilities

• Design, implement, and test data pipeline workflows
• Analyze database and API schemas for integration
• Collaborate with product owners to define software requirements
• Resolve problems through analysis, coding, and coordination
• Triage data-related inquiries with business teams
• Deliver consistent software solutions across projects
• Propose improvements to products and processes
• Learn and develop new skills from day one

Skills

DevOps culture

Cloud Development

Docker/Kubernetes

SQL

API interaction

Java/Python

GitHub workflows

ETL tooling

Education

Bachelor's Degree in CS/IS/Finance/Accounting

Tools

Pentaho PDI

GitHub

Job description

Allocore is seeking an ETL Data Engineer to design, develop, and maintain data pipelines that move data from multiple sources into data warehouses or data lakes. The role blends development, data integration, and collaboration with product owners to deliver reliable, scalable ETL solutions.

You will work in a hybrid role based in Mechanicsburg, PA, and contribute from day one by building and refining data workflows while expanding your technical scope across cloud data platforms.