Data Intern: ETL, BI & Cloud Analytics

Paradigm Oral Surgery; Lincoln (NE); On-site; USD 40,000 - 44,000; Full time

Job summary

Paradigm Oral Surgery is seeking a Data Intern to join our Lincoln, NE-based data science team. This full-time role focuses on building and maintaining data ecosystems, ETL workflows, APIs and data pipelines across departments including patient experience, clinical quality, marketing, and finance.

The position requires a bachelor's in a data-related field (master's preferred) and at least 5 years’ experience in data engineering, architecture, or BI development.

Qualifications

• Bachelor's degree required in data-related field (see education).
• Master’s degree preferred.
• At least 5 years’ experience in Data Engineering, Architecture, or BI Development.

Responsibilities

• Develop and maintain data ecosystem workflows, ETL, and technical processes.
• Develop and maintain API and direct database pipeline integrations.
• Profile data and analyze for quality assurance.
• Produce and maintain documentation including design documents, data, process models, master data management, and data dictionaries.
• Business Intelligence reporting and data-driven application development.
• Optimize existing data pipeline processes and applications.
• Contribute to KPI development, and predictive/prescriptive analytics projects.

Skills

Analytical thinking

Communication skills

Teamwork

Independent work

Education

Bachelor's degree in data science, computer science, MIS, statistics, applied math, or related field

Master’s degree in a related field

Tools

Azure

SQL

Python

R

Microsoft Office Suite

Job description

Paradigm Oral Surgery is seeking a Data Intern to join our Lincoln, NE-based data science team. This full-time role focuses on building and maintaining data ecosystems, ETL workflows, APIs and data pipelines across departments including patient experience, clinical quality, marketing, and finance.

The position requires a bachelor's in a data-related field (master's preferred) and at least 5 years’ experience in data engineering, architecture, or BI development.