Data Engineer with Application Development Experience

Itility; Wilton (CT); Hybrid; USD 110.000 - 150.000; Vollzeit

Zusammenfassung

Itility is seeking a Data Engineer with strong application development experience to design, build, and support scalable data solutions and applications. This hybrid role in Wilton, CT focuses on data pipelines, Python development, APIs, and cloud-native architectures to enable data processing and analytics capabilities.

You will design and maintain pipelines, develop Python-based services, and integrate APIs and microservices while collaborating with engineering and business teams to deliver

Qualifikationen

• Experience designing and building scalable data pipelines.
• Strong Python development experience.
• Familiarity with APIs, microservices, and cloud-native architectures.
• Experience with data processing and analytics platforms.

Aufgaben

• Design, build, and maintain scalable data pipelines and workflows.
• Develop Python-based applications and services.
• Build and integrate APIs and microservices.
• Support cloud-native data architectures and platforms.
• Develop solutions for data processing, integration, and analytics.
• Troubleshoot and optimize data and application performance.
• Collaborate with engineering and business teams to deliver reliable data solutions.
• Experience supporting AI/ML and manufacturing analytics use cases is preferred.

Kenntnisse

Data pipelines

Python development

APIs & microservices

Cloud-native architectures

Data processing & analytics

Jobbeschreibung

Data Engineer with Application Development Experience

• Hybrid
• Wilton , Connecticut , United States

We need your expertise

We are seeking a Data Engineer with strong application development experience to design, build, and support scalable data solutions and applications. This role will focus on data pipelines, Python development, APIs and microservices, cloud-native architectures, and data processing and analytics platforms

This is what we offer

Design, build, and maintain scalable data pipelines and workflows

Develop Python-based applications and services

Build and integrate APIs and microservices

Support cloud-native data architectures and platforms

Develop solutions for data processing, integration, and analytics

Troubleshoot and optimize data and application performance

Collaborate with engineering and business teams to deliver reliable data solutions

Experience supporting AI/ML and manufacturing analytics use cases is preferred