Data Engineer

Compunnel Inc.; Harrisburg (Dauphin County); On-site; USD 110,000 - 150,000; Full time

Job summary

Compunnel Inc. is seeking a Data Engineer to design, develop, and maintain robust data-driven applications that combine processing, transformation, and business logic.

The role collaborates with developers, architects, and stakeholders to align designs with data strategies and business requirements. The ideal candidate will enforce best practices across software and data layers, build reliable data pipelines, and support deployment and operational stability of data-centric applications in cloud

Qualifications

• 5+ years of professional experience in software development or data engineering.
• Strong programming skills in Python, Scala, SQL, and C#.
• Deep understanding of data engineering principles and software architecture practices.
• Experience with microservices, APIs, and integration patterns.
• Strong experience with SQL and NoSQL databases.
• Solid problem-solving and analytical skills.
• Strong written and verbal communication skills in English.
• Ability to work independently and collaboratively in an agile environment.

Responsibilities

• Design, develop, and maintain scalable data-driven applications.
• Enforce best practices across software architecture and data engineering layers.
• Collaborate with developers, architects, and stakeholders to align data and application strategies.
• Build, test, and maintain reliable data pipelines integrated with application components.
• Support deployment, monitoring, and operational stability of data-centric applications.
• Contribute to architecture and design discussions involving data platforms and applications.
• Stay up to date with emerging technologies, tools, and industry best practices.
• Mentor team members and drive technical decisions when required.

Skills

Python

Scala

SQL

C#

Data engineering

Microservices

APIs

NoSQL databases

Tools

Docker

Azure

AWS

Google Cloud

Job description

The Data Engineer will design, develop, and maintain robust, scalable data-driven applications that combine data processing, transformation, and business logic. This role involves collaborating with developers, architects, and stakeholders to align application design with data strategies and business requirements. The ideal candidate will enforce best practices across software and data layers, build reliable data pipelines, and support deployment and operational stability of data-centric applications in cloud environments.

Key Responsibilities:

• Design, develop, and maintain scalable data-driven applications
• Enforce best practices across software architecture and data engineering layers
• Collaborate with developers, architects, and stakeholders to align data and application strategies
• Build, test, and maintain reliable data pipelines integrated with application components
• Support deployment, monitoring, and operational stability of data-centric applications
• Contribute to architecture and design discussions involving data platforms and applications
• Stay up to date with emerging technologies, tools, and industry best practices
• Mentor team members and drive technical decisions when required

Required Skills:

• 5+ years of professional experience in software development or data engineering
• Strong programming skills in Python, Scala, SQL, and C#
• Deep understanding of data engineering principles and software architecture practices
• Experience with microservices, APIs, and integration patterns
• Strong experience with SQL and NoSQL databases
• Solid problem-solving and analytical skills
• Strong written and verbal communication skills in English
• Ability to work independently and collaboratively in an agile environment

Preferred Skills:

• Experience with cloud platforms such as Azure, AWS, or Google Cloud
• Experience deploying scalable applications in cloud environments
• Knowledge of containerization tools such as Docker
• Experience with infrastructure-as-code practices