Data Engineer

Compunnel, Inc.; Merrimack (NH); On-site; USD 80,000 - 110,000; Full time

Job summary

A technology solutions company is seeking a Data Engineer to design and develop data pipelines. The ideal candidate should have strong experience in Python or Java, cloud platforms, and modern data engineering tools. Responsibilities include building applications, optimizing workflows, and collaborating with global teams. A Bachelor's degree in a related field is required, along with hands-on experience in relevant technologies.

Qualifications

• Hands-on experience with Python and/or Java development.
• Experience designing and maintaining data pipelines and workflows.
• Strong knowledge of cloud platforms (Azure or AWS).
• Practical experience with containerization and deployment automation.

Responsibilities

• Design, develop, and maintain scalable data pipelines for ETL/ELT use cases.
• Build applications using Python and/or Java.
• Implement and optimize workflows using Apache tools.
• Configure and deploy containerized applications in cloud environments.
• Apply Infrastructure-as-Code practices with Terraform and similar tools.
• Integrate CI/CD tools into development workflows.
• Collaborate with global engineering teams for innovative solutions.

Skills

Python

Java

Cloud platforms (Azure or AWS)

Data engineering tools

CI/CD tools

Infrastructure-as-Code

Problem-solving

Communication

Education

Bachelor’s degree in Computer Science, Information Systems, or related field

Tools

Terraform

Apache Hop

Apache Beam

Spark

Airflow

GitHub

Jenkins

Artifactory

Job description

We are seeking a highly motivated Data Engineer to join a dynamic Enterprise Data team.

This role involves designing and developing robust data pipelines, working with cloud-native technologies, and contributing to innovative solutions that power next-generation digital services.

The ideal candidate will have strong experience in Python or Java, cloud platforms, and modern data engineering tools.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines to support ETL/ELT use cases.
• Build applications and platforms using Python and/or Java.
• Implement and optimize workflows using Apache Hop, Apache Beam, Spark, and Airflow.
• Configure and deploy containerized applications in public cloud environments (Azure/AWS).
• Apply Infrastructure-as-Code practices using tools like Terraform, CloudFormation (CFT), or ARM templates.
• Integrate CI/CD tools such as GitHub, Artifactory, and Jenkins into development workflows.
• Configure alerts and monitoring to ensure platform reliability and availability.
• Collaborate with global engineering teams to deliver innovative solutions.
• Solve complex problems and adapt to evolving requirements.
• Communicate effectively with stakeholders and influence technical decisions.

Required Qualifications

• Bachelor’s degree in Computer Science, Information Systems, or related field.
• Hands-on experience with Python and/or Java development.
• Experience designing and maintaining data pipelines and workflows.
• Strong knowledge of cloud platforms (Azure or AWS).
• Practical experience with containerization and deployment automation.
• Proficiency with Infrastructure-as-Code tools (Terraform, CFT, ARM).
• Experience with CI/CD tools (GitHub, Jenkins, Artifactory).
• Strong problem-solving and communication skills.

Preferred Qualifications

• Certification in Azure or AWS.
• Experience with data movement platforms like SnapLogic or Informatica.
• Familiarity with virtual databases and data replication platforms.

Certifications

• Preferred: Azure or AWS Cloud Certification