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Data Engineering Internship (Fall 2026)

The work we do matters! Hiring Agency Health & Human Services - Agency 25 Location: Lincoln, NE Hiring Rate $18.000 Job Posting JR2026-00026648 Data Engineering Internship (Fall 2026) (Evergreen) (Open) Applications No Longer Accepted On (If no date is displayed, job is posted as open until closed): 06-26-2026 Job Description The Data Engineering Intern will support the development and maintenance of data pipelines and infrastructure that enable data analysis and reporting across DHHS. This role provides exposure to modern data engineering tools and cloud platforms while working alongside experienced engineers to build scalable data solutions. Location: Onsite in Lincoln, NE Application Review: June 1st, 2026 Application Deadline: June 26th, 2026 Key Responsibilities <ul><li>Assist with data extraction, transformation, and loading (ETL/ELT) processes under the guidance of experienced data engineers</li><li>Support the development and maintenance of data pipelines using established tools and frameworks</li><li>Contribute to data processing tasks using technologies such as SQL, Python, and PySpark</li><li>Help validate data quality, accuracy, and completeness across datasets</li><li>Collaborate with cross-functional teams to support data-driven solutions</li><li>Monitor and troubleshoot issues within data pipelines and processing systems</li><li>Assist with monitoring performance of data workflows during development and production deployments</li><li>Document data flows, pipeline logic, and implementation details</li><li>Participate in Agile or project-based team activities such as stand-ups and sprint reviews </li></ul>Requirements / Qualifications Minimum Qualifications: <ul><li>Currently enrolled in an undergraduate or graduate degree program at an accredited college or university (two-to-four-year institution) OR recently graduated (within one year) from an undergraduate or graduate degree program at an accredited college or university (two-to-four-year institution). </li></ul>Preferred Qualifications <ul><li>Currently pursuing a degree in Computer Science, Data Engineering, Information Systems, Software Engineering, or a related field</li><li>Basic understanding of programming concepts (Python preferred)</li><li>Familiarity with SQL and database concepts</li><li>Interest in data pipelines, cloud data platforms, and large-scale data systems</li><li>Strong analytical and problem-solving skills</li><li>Ability to work collaboratively in a team environment </li></ul>What You'll Gain From This Experience <ul><li>Hands-on experience working with modern data engineering tools such as Databricks, Snowflake, and Azure Data Factory</li><li>Exposure to cloud-based data lakes and enterprise data platforms</li><li>Experience working on real data infrastructure projects in a public sector environment</li><li>Mentorship from experienced data engineers and technical teams</li><li>Opportunities to build technical and professional skills while solving real-world data challenges that impact Nebraska residents </li></ul>Location: Onsite in Lincoln, NE Application Review: June 1st, 2026 Application Deadline: June 26th, 2026 If you're currently employed by the State of Nebraska, please don't apply through this external career site. Instead, log in to Workday and open the Jobs Hub - Internal Apply app from your home landing page. You can access Workday anytime through the Link web page: https://link.nebraska.gov/ Benefits We offer a comprehensive package of pay, benefits, paid time off, retirement and professional development opportunities to help you get the most out of your career and life. Your paycheck is just part of your total compensation. Check out all that the State of Nebraska has to offer! Benefit eligibility may vary by position, agency and employment status. For more information on benefits, please visit: https://statejobs.nebraska.gov/index.html#benefits Equal Opportunity Statement The State of Nebraska values our teammates as well as a supportive environment that strives to promote diversity, inclusion, and belonging. We recruit, hire, train, and promote in all job classifications and at all levels without regard to race, color, religion, sex. age, national origin, disability, marital status or genetics.

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