> Markdown version of [/jobs/ext/3076769-data-visualization-engineer](https://www.wearedevelopers.com/jobs/ext/3076769-data-visualization-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Data Visualization Engineer

- **Company:** Everforth Apex
- **Location:** Forest Park, GA, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Business Analytics Applications, Business Logic, Information Systems, Continuous Integration, Data Validation, Data Cleansing, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Data Mining, Data Warehousing, Relational Databases, Python (Programming Language), Performance Tuning, Power BI, SQL Stored Procedures, SQL Databases, Data Processing, Azure Data Factory, Apache Spark, Git, Powerquery, Pyspark, Information Technology, Data Analytics, Software Version Control, Data Pipelines, Databricks
- **Published:** September 25, 2026
- **Apply:** https://www.dice.com/job-detail/4d5493da-b636-4896-a938-3dfebbf434cc

## About the Role

Education: Bachelor's degree in Data Analytics, Computer Science, Information Systems, Engineering, Mathematics, or a related field.

Experience: 3+ years of experience in data analytics, business intelligence, or reporting.

Technical Skills: A strong background in Microsoft Power BI, including report development, data modeling, DAX, and Power Query. Proficiency in SQL for querying, data manipulation, and performance optimization is required. Experience with Databricks or similar modern data platforms, along with an understanding of relational databases, data warehousing concepts, and data pipelines is also necessary.

Preferred Qualifications

 * Experience with Azure Databricks.
 * Knowledge of Python, Spark, or PySpark for data preparation and analysis.
 * Familiarity with CI/CD, source control (Git), and deployment processes for BI solutions.
 * Experience supporting enterprise-scale reporting and performance optimization initiatives.

## Description

We are seeking a motivated Data Analyst to design, develop, and maintain business intelligence solutions that transform data into actionable insights. This role will focus on creating and supporting Power BI dashboards, reports, and analytics solutions, while also leveraging data engineering skills to access, prepare, and optimize data from enterprise platforms such as Databricks, SQL databases, and cloud-based data sources., * Design, develop, and maintain interactive Power BI reports, dashboards, and KPIs for business stakeholders.

 * Gather and translate business requirements into meaningful analytics and reporting solutions.
 * Develop and optimize DAX measures, calculated columns, and data models to improve reporting performance and usability.
 * Create and maintain SQL queries, views, and stored procedures to support reporting and analytical needs.
 * Connect and integrate data from multiple sources including Databricks, Azure data platforms, relational databases, APIs, and flat files.
 * Perform data validation, reconciliation, and quality checks to ensure accuracy and consistency.
 * Support data extraction, transformation, and loading (ETL/ELT) processes for reporting environments.
 * Collaborate with business users, data engineers, and IT teams to identify reporting opportunities and resolve data issues.
 * Document data sources, business logic, data models, and report requirements.
 * Monitor and troubleshoot report performance, data refreshes, and connectivity issues.


## Related Videos

- [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data)
- [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag)
- [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94)
- [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works)
- [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail)
- [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt)

## Related Articles

- [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know)
- [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk)
- [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story)
- [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)
- [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk)
- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)