Job Details

We are seeking an early-career Data Engineer to join our team. This position is designed for someone with 12 years of professional experience who is eager to grow their technical skills while contributing immediately to real-world projects.

In this role, you will:

• Work hands-on with our team to transform and connect data from multiple systems.
• Build end-user applications and workflows that make data accessible, reliable, and actionable for business teams.
• Apply Python to clean, structure, and automate data processes that support smarter project delivery.

This is a foundational position with mentorship and room to grow into advanced responsibilities, including application development, systems integration, and analytics.

Core Responsibilities

• Develop and maintain Python scripts to transform and manipulate datasets from multiple sources.
• Clean, normalize, and structure raw data for reporting, analysis, and application use.
• Work with APIs and diverse data formats (JSON, CSV, XML) to integrate systems and workflows.
• Collaborate with team members to design and deliver applications that enable non-technical users to interact with data.
• Support data integration and automation projects by creating repeatable, reliable processes.
• Document workflows, code, and applications to ensure clarity, reproducibility, and team-wide knowledge sharing.

Required Skills & Qualifications

• 12 years of professional experience coding in Python.
• Experience with data transformation and cleaning using libraries like PySpark, pandas or NumPy.
• Understanding of common data formats (JSON, CSV, XML).
• Familiarity with working with APIs for programmatic data exchange.
• Strong debugging, troubleshooting, and problem-solving skills.
• Detail-oriented, curious, and eager to learn new systems and tools.