Data Visualization Engineer
Job in
Birmingham, Jefferson County, Alabama, 35275, USA
Listed on 2026-03-01
Listing for:
4P Consulting Inc.
Full Time
position Listed on 2026-03-01
Job specializations:
-
IT/Tech
Data Engineer, Data Analyst, Data Warehousing, Data Science Manager
Job Description & How to Apply Below
Data Visualization Engineer I
Experience Level: 1–3 Years
Education:
Bachelor’s Degree Required
Location:
Birmingham, AL.
Client:
Southern Company Services.
The Data Visualization Engineer I is responsible for designing and developing data visualizations and dashboards using datasets from multiple sources. This role combines analytical thinking, technical capability, and visual storytelling to transform complex data into clear, actionable insights.
The ideal candidate has experience with modern BI tools, programming languages, and cloud data environments, and demonstrates strong analytical and problem-solving skills.
Key ResponsibilitiesDashboard & Visualization Development
- Design, develop, and maintain dashboards and interactive reports
- Create compelling visualizations that clearly communicate trends and insights
- Ensure data accuracy, clarity, and usability in all visual deliverables
- Provide visual, technical, and editorial expertise for reporting content
- Perform analytics using:
- Predictive modeling
- Machine learning techniques
- Data mining
- Statistical analysis
- Translate business requirements into technical data solutions
- Work with ETL processes and data pipelines
- Support data warehousing environments (Azure, AWS, SAP)
- Ensure data quality and integrity across reporting systems
- Partner with data engineers, analysts, and business stakeholders
- Document data sources, transformations, and dashboard logic
- Maintain version control using Git
Education
- Bachelor’s degree in Computer Science, Engineering, Mathematics, or related technical discipline
- Advanced degree preferred
Experience with:
- Python
- SQL
- R or Java
- pandas
- dbt
- Git
- Tableau
- Power BI
- Microsoft Excel
Familiarity with:
- ETL processes
- Data pipelines
- Data warehousing platforms (Azure, AWS, SAP)
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