Job Specifications
About Us
Intrado is dedicated to saving lives and protecting communities, helping them prepare for, respond to, and recover from critical events.
Today, our cutting-edge SaaS company is at the forefront of transforming the 911 emergency response continuum with next generation data-driven software. Intrado’s solutions allow enterprises, call takers, dispatchers, and first responders to make more informed decisions, respond quickly and safely, and ultimately serve their communities better.
Responsibilities/Qualifications
Internship Job Description: Data Validation Intern – Networking Department
Position: Data Validation Intern
Department: Networking
This role is hybrid (not a fully remote internship) in Colorado and housing is not provided. As such, candidates local to the state or who list they have housing available in Colorado will be considered first.
Location: 1601 Dry Creek Dr, Longmont, CO 80503
Duration: May 27th- August 14th (12 weeks)
Each Intern Will Focus On Completing a Project Designed To Provide Hands On, Career/major Relevant Project Experience That Will Have An Immediate And Lasting Impact On a Real Time Business Need. Additionally, Interns Will Have The Opportunity To
Make an Impact – you’ll complete a meaningful project that will support your career goals AND have a lasting impact on Intrado and the communities we serve.
Gain Skills and Knowledge from Industry Leading Experts – through your hands on learning experience, you will work closely with and constantly learn from a team that are the best in the business.
Build a Network – from fellow interns to our executive team, you’ll have endless opportunities to connect with and learn from Intrado team members during the summer and beyond.
Be Mentored – we will pair you up with a mentor who will provide support throughout the internship experience to ensure your success!
Overview
We are seeking a Data Validation Intern to support our Networking Department by ensuring data accuracy, consistency, and integrity. The intern will primarily use SQL to validate and verify information, Python as the programming language and help to automate data checks and improve entry validation processes. This role is ideal for someone who enjoys working with databases, Excel, and GUI interfaces while developing skills in data quality management and automation.
Key Responsibilities
Use SQL queries to verify data accuracy and consistency within our databases.
Develop and automate validation tasks to improve data quality and reduce manual effort.
Create job aids and documentation for data entry validation processes.
Identify and resolve data inconsistencies, errors, or anomalies.
Work with Excel to analyze and manipulate datasets.
Assist in implementing GUI-based tools for data validation.
Collaborate with networking and database teams to improve data workflows.
Preferred Qualifications
Pursuing a degree in Computer Science, Data Science, Information Technology, or a related field.
Experience with SQL and writing queries for data validation.
Programming experience in Python.
Familiarity with Excel functions, pivot tables, and data analysis tools.
Basic understanding of database structures and networking concepts.
Interest in automation and reducing manual data entry errors.
Strong attention to detail and problem-solving skills.
What You’ll Gain
Hands-on experience with SQL, data validation, and automation.
Exposure to networking-related data workflows.
Experience in creating job aids and process improvements.
An opportunity to work with industry professionals and gain real-world insights
Total Rewards
For candidates located in Colorado, our internship pays $25 per hour. Apply today and join us in work worth doing!
About the Company
Intrado is dedicated to saving lives and protecting communities, with a mission to provide comprehensive support in preparing for, responding to, and recovering from critical events. Committed to being the world's leading provider of emergency response solutions, we focus on continuous innovation and excellence in serving and safeguarding communities.
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