Jobs via Dice
Data Visualization Engineer
Our client, Hexacorp, is looking for a highly skilled Data Visualization Engineer who will work onsite in Atlanta. The candidate will build intuitive, scalable dashboards and visual analytics using Power BI, Tableau, and other BI platforms. The role involves collaborating closely with Data Engineers, Data Scientists, and AI/ML teams to translate complex data into actionable insights for business stakeholders.
Key Responsibilities
Design, develop, and maintain interactive dashboards and reports using Power BI / Tableau.
Create visually compelling data stories that support business decision-making.
Optimize dashboards for performance, usability, and scalability.
Collaboration & Data Understanding
Work closely with Data Engineers to understand data pipelines, data models, and data quality.
Partner with Data Scientists, AI Engineers, ML/MLOps Engineers to visualize advanced analytics, predictive outputs, and ML model performance.
Support Data Governance initiatives by ensuring visualization data accuracy, compliance, and proper metadata usage.
Data Analysis
Analyze large datasets to uncover trends, patterns, and insights.
Validate data accuracy and troubleshoot data issues in visualizations.
Translate business questions into analytical requirements and meaningful dashboards.
Documentation & Standards
Maintain documentation for dashboards, metrics definitions, and data flows.
Implement visualization best practices, UI/UX standards, and governance guidelines.
Required Skills & Experience Core Visualization Skills
4+ years of experience with Power BI, Tableau, or similar BI tools.
Strong understanding of DAX, data modeling, ETL concepts, and visualization design principles.
Technical Skills
Experience working with Data Engineers, Data Scientists, AI/ML teams.
Ability to integrate dashboards with ML/AI outputs.
Solid knowledge of SQL and data analysis.
Understanding of MLOps, AI pipelines, or data governance (added advantage).
General Skills
Excellent communication skills to explain dashboards to technical and business teams.
Strong problem-solving and analytical thinking.
Ability to work independently onsite and manage multiple priorities.
Preferred Qualifications
Experience in MLOps environments, cloud data platforms (Azure, AWS, Google Cloud Platform).
Knowledge of data governance frameworks and metadata management.
Prior experience in enterprise-scale data environments.
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Key Responsibilities
Design, develop, and maintain interactive dashboards and reports using Power BI / Tableau.
Create visually compelling data stories that support business decision-making.
Optimize dashboards for performance, usability, and scalability.
Collaboration & Data Understanding
Work closely with Data Engineers to understand data pipelines, data models, and data quality.
Partner with Data Scientists, AI Engineers, ML/MLOps Engineers to visualize advanced analytics, predictive outputs, and ML model performance.
Support Data Governance initiatives by ensuring visualization data accuracy, compliance, and proper metadata usage.
Data Analysis
Analyze large datasets to uncover trends, patterns, and insights.
Validate data accuracy and troubleshoot data issues in visualizations.
Translate business questions into analytical requirements and meaningful dashboards.
Documentation & Standards
Maintain documentation for dashboards, metrics definitions, and data flows.
Implement visualization best practices, UI/UX standards, and governance guidelines.
Required Skills & Experience Core Visualization Skills
4+ years of experience with Power BI, Tableau, or similar BI tools.
Strong understanding of DAX, data modeling, ETL concepts, and visualization design principles.
Technical Skills
Experience working with Data Engineers, Data Scientists, AI/ML teams.
Ability to integrate dashboards with ML/AI outputs.
Solid knowledge of SQL and data analysis.
Understanding of MLOps, AI pipelines, or data governance (added advantage).
General Skills
Excellent communication skills to explain dashboards to technical and business teams.
Strong problem-solving and analytical thinking.
Ability to work independently onsite and manage multiple priorities.
Preferred Qualifications
Experience in MLOps environments, cloud data platforms (Azure, AWS, Google Cloud Platform).
Knowledge of data governance frameworks and metadata management.
Prior experience in enterprise-scale data environments.
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