The work we do matters!
Hiring Agency:
Health & Human Services - Agency 25
Location:
Lincoln, NE
Hiring Rate:
$30.008
Job Posting:
JR2026-00030194 Data Visualization Engineer (Open)
Applications No Longer Accepted On (If no date is displayed, job is posted as open until closed):
11-07-2026
Job Description:
The DHHS Data Office is seeking a Data Visualization Engineer to join our growing Data & Analytics team. In this role, you will transform complex datasets into meaningful, visually compelling dashboards and reports that support decision‑making across the organization. This position is ideal for early‑career professionals with a passion for analytics, visualization, and solving real-world problems that make a difference for the people of Nebraska.
This is an on-site, full-time/permanent role in Lincoln. Not eligible to be a contracted or remote position.
**The Nebraska Department of Health and Human Services does not sponsor or transfer non-immigrant work visas for this position or accept STEM OPT (form i-983) at any time. **
What You’ll Gain
- Hands-on experience with modern data engineering technologies such as Databricks, Snowflake, Azure Data Factory, and cloud data environments.
- Opportunities to design and deliver data solutions that directly support public-sector initiatives and benefit the people of Nebraska.
- Collaboration with talented engineers on challenging, meaningful technical projects.
- Professional growth through mentorship, training, and real-world engineering experience.
Examples of Work
Key Responsibilities
- Develop engaging, accurate, and user-friendly dashboards, reports, and data visualizations that support business and operational insights.
- Work closely with data consumers and subject matter experts (SMEs) to understand business requirements, define metrics, and ensure visualizations accurately represent underlying data.
- Analyze, interpret, and organize large datasets to uncover trends, patterns, and actionable insights.
- Validate data quality, accuracy, and completeness across various data sources and platforms.
- Collaborate with cross-functional teams, including Data Engineers, BI Developers, and business partners, to design and deliver analytic solutions.
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