Data Engineer

United States·Lincolnmid

Data EngineerData

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Quick Summary

Requirements Summary

Experience, education, or training in coding computer applications. Preferred Qualifications: Bachelor's degree in computer science, Information Systems, Data Engineering,

Technical Tools

Data EngineerData

Health & Human Services - Agency 25

Lincoln, NE

$30.008

JR2026-00030195 Data Engineer (Open)

DHHS Data Office is seeking a Data Engineer to join our Data & Analytics team and help build the data infrastructure that powers insights across the organization. In this role, you will design, develop, and maintain scalable data pipelines; ensure data quality and reliability; and enable high‑impact analytics and reporting. This position is ideal for early‑career professionals who enjoy solving technical challenges, working with modern data platforms, and contributing meaningful solutions that support 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 We Offer

~1 min read

Key Responsibilities

✓Design, build, and maintain scalable ETL/ELT pipelines using modern data engineering tools and frameworks.

✓Support extraction, transformation, and loading of data from various sources into cloud-based data lakes and warehouses.

✓Ensure data quality, accuracy, consistency, and completeness across datasets and pipelines.

✓Collaborate with cross-functional teams, including Data Analysts, BI Developers, and business partners, to deliver solutions that align with business needs.

✓Develop and optimize data processing workflows using SQL, Python, and PySpark.

✓Monitor and troubleshoot pipeline performance, operational issues, and data anomalies in both development and production environments.

✓Participate in Agile delivery processes such as daily stand-ups, sprint planning, and reviews.

✓Contribute to performance testing, data validation, and continuous improvement of data infrastructure.

✓Document data flows, transformation logic, schema changes, and implementation details to support maintainability.

✓Build technical and professional skills through ongoing learning, mentorship, and hands-on project work.

Requirements

~1 min read

Bachelor's degree in computer science, Information Systems, Data Engineering, or related field; equivalent experience considered.
Foundational experience with SQL and at least one programming language such as Python.
Experience (academic, project-based, or professional) working with data pipelines or distributed data processing frameworks such as PySpark.
Basic familiarity with cloud data platforms (e.g., Azure, Databricks, Snowflake).
Familiarity with Azure Data Factory, Databricks, or similar orchestration and compute platforms.
Understanding of CI/CD concepts, version control, or automation for data workflows.
Exposure to Agile methodologies or project-based delivery