Senior Level Data Visualization Developer Jobs
Senior level data visualization developer jobs put experienced developers in charge of defining the visual intelligence layer of complex systems, owning end-to-end delivery, and leading the teams and decisions that turn raw data into insight. Openings are concentrated in Technology & Software, Law & Legal Services, and Consulting & Professional Services, with 25% remote or hybrid availability, and employers like DMI, Nuro, and Leidos hiring at this level now.
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Showing 5 of 7+ Senior Level Data Visualization Developer jobs
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.
We're seeking a Data Visualization Engineer (6+ years) who blends strong BI engineering skills with design intuition to deliver interactive dashboards, insight-driven visual narratives, and high-performance reporting solutions. You'll translate business questions into clear, trusted visual experiences, connect BI tools to modern data platforms, and optimize semantic layers and models so stakeholders can confidently make data-driven decisions.
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.
- 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).
- 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.
- 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
Ready to make an impact? Apply now and join us on our journey!
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.
We're seeking a Data Visualization Engineer (6+ years) who blends strong BI engineering skills with design intuition to deliver interactive dashboards, insight-driven visual narratives, and high-performance reporting solutions. You'll translate business questions into clear, trusted visual experiences, connect BI tools to modern data platforms, and optimize semantic layers and models so stakeholders can confidently make data-driven decisions.
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.
- 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).
- 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.
- 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
Ready to make an impact? Apply now and join us on our journey!
See All 7 Senior Level Data Visualization Developer Jobs
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Who's Hiring
Top Industries Hiring
- Technology & Software
- Law & Legal Services
- Consulting & Professional Services
Senior Level Data Visualization Developer Jobs: Frequently Asked Questions
How do I get a senior level data visualization developer job?
At the senior level, employers expect more than technical proficiency with tools like D3.js, Tableau, or Power BI. They want evidence that you have owned visualization strategy end-to-end, made architectural decisions, and influenced how stakeholders interpret data. A strong portfolio showing complex, production-grade work is essential. Demonstrated experience mentoring junior developers or leading cross-functional projects gives candidates a clear edge.
Which companies hire senior level data visualization developers?
Companies hiring senior level data visualization developers right now include DMI, Nuro, and Leidos, based on current listings on Migrate Mate as of July 2026. Hiring at this level tends to come from large enterprises with mature data practices, technology firms building analytics products, and consultancies delivering data solutions to external clients.
Are there remote senior level data visualization developer jobs?
Yes, remote work is well-established at this level. About 25% of senior level data visualization developer openings are remote or hybrid as of July 2026, reflecting how organizations treat experienced individual contributors and technical leads as high-trust hires who can deliver without being on-site daily.
What makes a data visualization developer role senior level?
Senior level roles are defined by ownership and scope. A senior data visualization developer sets the technical direction for visualization systems, not just executes within them. They make decisions about architecture, tooling, and design standards, mentor junior and mid-level developers, and collaborate directly with product, engineering, and analytics leadership to shape how data is communicated across an organization.
Which industries hire the most senior level data visualization developers?
Senior Level data visualization developer roles concentrate in Technology & Software, Law & Legal Services, and Consulting & Professional Services, based on current listings on Migrate Mate as of July 2026. These sectors tend to manage large, complex datasets where clear visual communication directly drives business decisions, creating sustained demand for developers who can lead at the intersection of data and design.