Remote Senior Visualization Engineer

Insight Global; Chicago (IL); Remote; USD 83,000 - 96,000; Full time

Benefits offered by this job

Medical benefits

401k options

Job summary

Insight Global is seeking a Senior Visualization Engineer to design, develop, and scale enterprise BI and data visualization solutions for data‑driven decision making. You’ll translate requirements into dashboards, reports, and visual presentations for technical and non‑technical users, collaborating with data engineers and product owners.

The role is fully remote with core EST hours through the end of 2026, with potential extension or conversion.

Qualifications

• 8+ years of visualization engineering experience for BI.
• Strong experience with AWS QuickSight and Amazon Quick Suite.
• Proficiency with AWS Cloud tools and related data platforms.

Responsibilities

• Design, develop, and scale enterprise BI and data visualizations.
• Create dashboards, reports, and data models for diverse users.
• Collaborate with stakeholders, data engineers, and product owners.

Skills

Visualization engineering

Stakeholder collaboration

Python

Critical thinking

Agile methodologies

Education

Bachelor's in CS/IT

Tools

Amazon Quick Suite

AWS QuickSight

Athena

Redshift

Snowflake

Azure DW

BigQuery

AWS Glue/Lambda

SQL

Job description

Job Description

A consulting client of Insight Global is seeking a Senior Visualization Engineer to design, develop, and scale enterprise business intelligence and data visualization solutions that support data‑driven decision‑making. This individual will work closely with business stakeholders, data engineers, and product owners to translate requirements, workshops, and white‑boarding sessions into structured storyboards, dashboards, and visual presentations for both technical and non‑technical users. Responsibilities include designing and deploying reports, dashboards, data models, and access controls; creating interactive visualizations with drilldowns, highlights, and dynamic exploration; and analyzing complex, multi‑dimensional data to identify trends and actionable insights. The role requires hands‑on experience with tools such as AWS QuickSight, along with the ability to rapidly prototype solutions, optimize performance, and ensure reliable, scalable data flows while collaborating across teams to deliver high‑quality analytical experiences.

We are looking for a detail‑oriented, organized and collaborative individual with excellent critical thinking skills. This is a fully remote position working core EST hours through the end of 2026 with possibility of extension and/or conversion. This position can pay between $60-$70/hour with medical benefits and 401k options offered on contract.

Skills and Requirements

• Bachelor's Degree in Computer Science or Information Technology
• 8+ years of visualization engineering experience for business intelligence
• Strong experience with Amazon Quick Suite
• Strong experience with AWS QuickSight
• Experience with AWS Cloud tools and technologies such as Athena, Redshift or Snowflake, Azure DW, BigQuery
• Proficiency with integration tools including AWS Glue/Lambda
• SQL experience
• Familiarity with architectural patterns for data‑intensive solutions
• Experience with Agile Methodologies
• Excellent critical thinking skills
• Python Experience

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to [e-mail].