AI Data Engineer

The Data & AI Engineer role supports the build and ongoing support of data pipelines, analytics solutions, and AI-enabled capabilities. This entry-level position emphasizes hands-on development alongside experienced engineers and business partners.

Role Summary

As an AI Data Engineer, you will develop data engineering skills across pipeline development, cloud platforms, and applied AI. You will contribute to ingestion, transformation, data quality, and documentation while helping organize reliable datasets for reporting and analytics.

Key Responsibilities

• Build and maintain data ingestion and transformation pipelines.
• Develop SQL and Python code to process, validate, and prepare data.
• Contribute to organizing data into trusted, reusable datasets used for reporting and analytics.
• Support data quality checks, assist with issue investigation, and participate in pipeline monitoring.
• Assist with developing and testing AI and machine learning solutions.
• Work with cloud services and tools for data storage, processing, and model development.
• Document data flows, code, and technical processes.
• Collaborate with data engineers, architects, analysts, and business partners.
• Follow established standards for data security, governance, and software development.

Required Qualifications

• Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field, or equivalent practical experience.
• Foundational experience with SQL and Python gained through coursework, projects, internships, or work experience.
• Understanding of databases, data structures, and basic data processing concepts.
• Interest in cloud data platforms and artificial intelligence.
• Strong problem-solving, communication, and teamwork skills.
• Willingness to learn new tools and technologies.

Preferred Qualifications

• Exposure to a cloud platform such as Google Cloud, AWS, or Azure.
• Familiarity with data warehouses, ETL/ELT pipelines, or orchestration tools.
• Experience with Git and basic software development practices.
• Exposure to machine learning concepts or AI tools.
• Familiarity with data quality, metadata, or data governance concepts.

Technology Stack

• SQL
• Python
• Google Cloud
• AWS
• Azure
• Git

Benefits

• Flexibility that’s real
• Benefits you can count on
• Performance-based bonus plan
• Restricted stock unit awards

Work Location, Travel, and Employment

• Work style: hybrid
• Location: Lowell, MA, United States
• Travel: up to 25%
• Employment type: Regular

Compensation and Job Details

• Pay range: $71,900 to $103,350 per year
• Job ID: DATAE020428