Data Consultant Co-Op: Build Pipelines & Datasets

Coretek Services; Cincinnati (OH); On-site; USD 25,000 - 30,000; Part time

Job summary

Coretek Services is seeking a Data Consultant Co-Op to help build pipelines and datasets for reporting, operations, and AI solutions. The AI & Data Co-Op Program places you on a team supporting internal initiatives and client projects, with guidance from experienced Consultants.

You will gain experience connecting data sources, preparing datasets, testing work, and owning defined tasks with feedback integrated before review and approval.

Qualifications

• Currently pursuing a degree in CS, DS, IS, or related field with eligibility for university co-op.
• Foundational SQL skills including filtering, joins, and aggregations.
• Basic Python programming experience (reading files, data manipulation, debugging).
• Familiarity with data pipelines, data movement between systems, and CSV/JSON data.
• Strong attention to data accuracy and ability to explain findings and ask clarifying questions.

Responsibilities

• Understand data sources, reporting Needs, and acceptance criteria with team.
• Build data pipelines to extract, transform, and load data from databases, files, and APIs.
• Write SQL queries and Python scripts to clean and combine data for reporting and analytics.
• Check for missing values, duplicates, and data quality issues; reconcile outputs.
• Monitor scheduled data jobs, troubleshoot failures, and communicate delivery impacts early.

Skills

SQL

Python

Data pipelines

Communication

Git

Education

Pursuing degree in Computer Science, Data Science, Information Systems, or related field

Tools

Azure

Microsoft Fabric

Power BI

Elastic

Tines

Git

APIs

Job description

Coretek Services is seeking a Data Consultant Co-Op to help build pipelines and datasets for reporting, operations, and AI solutions. The AI & Data Co-Op Program places you on a team supporting internal initiatives and client projects, with guidance from experienced Consultants.

You will gain experience connecting data sources, preparing datasets, testing work, and owning defined tasks with feedback integrated before review and approval.