Data Engineer Intern at NASPO

, , -

Full Time

Start Date

Immediate

Expiry Date

20 Jan, 26

Salary

20.0

Posted On

22 Oct, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Python, PostgreSQL, Salesforce, ETL, Data Quality, Automation, AI/ML, Data Pipelines, Data Processing, Data Modeling, Documentation, Collaboration, Analytical Skills, Problem-Solving, Communication Skills

Industry

Non-profit Organizations

Description

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.

Responsibilities

Assist in designing, building, and maintaining ETL/ELT pipelines while ensuring data quality and consistency across systems. Collaborate with data engineers and analysts to support procurement analytics and develop AI-enabled data preparation workflows.