Data Visualization Engineer

Job Title: Data Visualization Engineer

Location: Morristown, NJ (Hybrid - 3 days/week onsite)

Let's create our future together at The AES Group!

About The AES Group

The AES Group is a premier technology staffing and services company that has been bringing businesses and talent together for over 20 years to deliver innovative technology solutions that create meaningful impact. AES helps enterprises, including Fortune 500 organizations, engage customers, empower employees, and transform operations through cloud, data, AI, and emerging technologies.

What you'll do

Build interactive dashboards, reports, and visualizations that communicate KPIs, trends, and insights clearly.

Translate business questions into effective visual stories and measurable metrics.

Choose appropriate chart types, design patterns, and interaction models for different audiences and use cases.

Connect BI tools to enterprise data sources (cloud warehouses, relational databases, APIs, flat files).

Develop and optimize data models, semantic layers, calculated metrics, and reusable measures.

Apply best practices in layout, color, typography, accessibility (WCAG), and UX to improve usability and adoption.

Define and maintain visualization standards, templates, and style guides for consistent delivery.

Improve dashboard performance through query tuning, caching strategies, incremental refresh, and efficient modeling.

Partner with data engineering teams to validate data quality, reliability, and documentation.

Enable self-service analytics through training, documentation, and reusable dashboard templates.

Perform peer reviews and provide technical guidance within the BI development environment.

Required qualifications

6+ years of experience in data visualization, BI engineering, or a related field.

Expert-level proficiency in Power BI, Tableau, Looker, or Qlik Sense.

Strong SQL skills for querying, optimizing, and troubleshooting large datasets.

Solid understanding of BI data modeling concepts: star/snowflake schemas, relationships, aggregations, and semantic modeling.

Experience integrating BI tools with modern data platforms such as Snowflake, Databricks, BigQuery, Azure Synapse, or Amazon Redshift.

Strong grounding in data visualization principles, UX practices, and accessibility standards (WCAG).

Proven ability to convert requirements into polished, production-ready dashboards and reports.

Ability to work independently, manage multiple deliverables, and communicate proactively (consulting/contractor mindset).

Nice to have

Proficiency across multiple BI platforms (e.g., both Power BI and Tableau).

Python or R experience for data preparation, automation, or analytics integration.

Exposure to data governance, cataloging, metadata management, and BI CoE standards.

Familiarity with Git and CI/CD practices for BI development and deployment.

Experience in regulated industries (finance, healthcare, retail, government).

Relevant BI and/or cloud certifications.

Mandatory skills (quick summary)

BI platforms: Power BI / Tableau / Looker / Qlik Sense (expert)

SQL and large-scale data querying/optimization

BI data modeling: star/snowflake, semantic layers, aggregations, calculated metrics

Connectivity: Snowflake / Databricks / BigQuery / Azure Synapse / Redshift

Visualization + UX: hierarchy, color, typography, accessibility (WCAG), interactivity

Performance optimization: query tuning, caching, incremental refresh, efficient modeling

Requirements translation + stakeholder communication

Standards/governance: templates, style guides, reusable components

Data quality collaboration with engineering teams

Independent delivery across multiple priorities