NASPO

About the Role 

We are seeking a motivated Data Engineer Intern to join our team. This internship provides hands-on experience working with data pipelines, database management, and integrations across key enterprise systems. The role is ideal for students or recent graduates who want to develop strong technical and problem-solving skills in data engineering and AI-driven solutions. 

Pay: $20/hour

How You’ll Contribute to the NASPO Data Team 

• Support procurement analytics by building pipelines that consolidate data from Salesforce (e.g., supplier, contract, and membership data) into PostgreSQL databases. 

• Help improve data quality and consistency across systems to ensure accurate reporting for NASPO leadership and stakeholders. 

• Assist in developing AI-enabled data preparation workflows that can identify trends, outliers, or predictive insights in procurement data. 

• Work on automation scripts in Python to streamline repetitive reporting tasks and reduce manual effort for the data team. 

• Provide documentation and process improvements to help the NASPO team make data-driven decisions faster. 

Responsibilities 

• Assist in designing, building, and maintaining ETL/ELT pipelines. 

• Work with PostgreSQL databases for data modeling, transformation, and performance optimization. 

• Develop and maintain Python scripts for data processing and automation. 

• Support integration between Salesforce and internal data systems. 

• Collaborate with data engineers, analysts, and business stakeholders to understand requirements. 

• Ensure data quality, accuracy, and consistency across systems. 

• Document technical processes, workflows, and project progress. 

• Support preparation of datasets for AI/ML use cases, including feature engineering and preprocessing. 

• Assist in evaluating AI/ML model outputs and integrating them into data pipelines. 

Qualifications 

• Currently pursuing or recently completed a degree in Computer Science, Data Engineering, Information Systems, or a related field. 

• Familiarity with Python programming (pandas, SQLAlchemy, or similar libraries). 

• Basic understanding of relational databases, particularly PostgreSQL. 

• Exposure to Salesforce data structures or APIs is a plus. 

• Familiarity with Power BI or any reporting tool. 

• Interest or coursework in AI/ML concepts (e.g., scikit-learn, TensorFlow, PyTorch) is a bonus. 

• Strong analytical and problem-solving skills. 

• Good communication skills and ability to work in a team environment. 

What You’ll Gain 

• Real-world experience in data engineering and AI-driven integration projects. 

• Hands-on practice with Python, PostgreSQL, and Salesforce technologies. 

• Exposure to preparing and working with datasets for machine learning workflows. 

• Mentorship from experienced engineers and exposure to enterprise data and AI solutions. 

• Opportunity to contribute to meaningful projects that impact business operations.