AI Data Engineer
Job Description
Build and support data pipelines, analytics, and AI-enabled capabilities in a hybrid entry-level role.
Responsibilities
- Develop and maintain data ingestion and transformation pipelines
- Write SQL and Python to process, validate, and prepare data
- Organize data into trusted, reusable datasets for reporting and analytics
- Assist with data quality checks, issue investigation, and pipeline monitoring
- Support development and testing of 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
Requirements
- Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field, or equivalent practical experience
- Foundational experience with SQL and Python via 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
Technologies
- SQL
- Python
- Google Cloud
- AWS
- Azure
- Git
Work Mode
- Hybrid
- Location: Lowell, MA, United States
Travel
- Up to 25%
Compensation
- Pay range: $71,900 to $103,350 per year
Benefits
- Flexibility that’s real
- Benefits you can count on
- Performance-based bonus plan
- Restricted stock unit awards
- Employment type: Regular
- Job ID: DATAE020428