Explore 2 python software engineer jobs from 2 hiring companies in Minden, NE, US. Filter by remote, salary, experience, and company, then open any listing to apply.

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Python Software Engineer

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Python Software Engineer Jobs

CorVel

Eakes Office Solutions

Hybrid

Onsite

Job Summary

Responsible for designing and implementing workflow automation and document management solutions that streamline business operations across internal teams and external clients.

Owns the full lifecycle of solutions including requirements gathering, system design, workflow development, integrations, training, and ongoing support. Must maintain good customer relations, in addition to proper and timely completion of documentation.

&nbsp;

Primary Job Duties/Responsibilities

CONFIGURE/SUPPORT:

&uml; Effectively and efficiently design, configure, and deploy document management systems with a focus on DocMgt.

&uml; Ensure customer and internal document management sites are configured within the constraints of approved systems.

&uml; Provide remote support for clients.

&uml; Assist with document management scope of work development for clients.

&uml; Assist sales efforts with demo design and presentation.

&uml; Maintain proper response time.

&nbsp;

TECHNICAL DEVELOPMENT &amp; INTEGRATION:

&uml; Configure and implement integrations between document management systems and external platforms.

&uml; Utilize tools such as SQL, REST APIs, automation platforms, and scripting to enable data flow and system connectivity.

&uml; Leverage modern tools, including AI-assisted development, to efficiently build and maintain integrations.

&uml; Troubleshoot and resolve system, data flow, and integration issues.

&uml; Configure and Maintain Document Capture Including Scanning &amp; OCR.

&nbsp;

CUSTOMER RELATIONS:

&uml; Listen to and resolve internal and external customer concerns in a timely manner.

&uml; Immediately report any customer concerns that have not been resolved to the customer&#39;s satisfaction to the Service Manager.

&nbsp;

DOCUMENTATION:

&uml; Prepare accurate and complete scope of work documentation.

&uml; Submit work orders after the completion of every service call.

&uml; Maintain consistent project management timelines with customers and TSC&rsquo;s.

&nbsp;

TRAINING:

&uml; Attend training seminars as required for all approved software vendors.

&uml; Attend product release meetings for all approved software vendors.

&nbsp;

OTHER DUTIES AS MAY BE ASSIGNED

&nbsp;

Secondary Job Duties/Responsibilities

&uml; Respond to Technology Services helpdesk tickets via ConnectWise PSA

&uml; Support VoIP (Intermedia Elevate), eFax (eGoldFax), print management, and document management users

&uml; Troubleshoot end-user issues and escalate when appropriate

&uml; Maintain SLA compliance, time tracking, and documentation standards

&uml; Deliver excellent customer experience across all interactions

Business Systems Engineer

Associate’s degree in Electronics/Computer Science/Information Technology/Software Development required; Bachelor’s degree in a similar field preferred; experience with workflow automation, document management, integrations, and data analysis.

We have an exciting opportunity for a Data Scientist within our data product space. This individual will be focused on designing, building, and deploying machine learning models and data products that support our enterprise initiatives. This role focuses on developing scalable, production ready solutions by translating complex business problems into data-driven approaches and model-based outputs.
Working closely with product managers, engineering teams, and business stakeholders, this position contributes to the development of data products from concept through deployment, ensuring solutions are reliable, performant, and aligned with real world use cases. The role includes hands on model development, feature engineering, and integration into production systems within cloud environments.
The ideal candidate has experience building and operationalizing machine learning models and is comfortable working with modern AI techniques, including large language models (LLMs) and retrieval-augmented generation (RAG), where applicable. Experience with platforms such as Azure, AWS, or similar ecosystems is strongly preferred.
Success in this role requires strong technical expertise, problem-solving skills, and the ability to deliver high-quality solutions within a structured development environment. This role focuses on building and deployment of production data products and is not limited to exploratory analysis or reporting.
This position is open to remote or hybrid.
ESSENTIAL FUNCTIONS & RESPONSIBILITIES:
<ul>
<li>Mine and analyze data from internal databases to drive optimization and improvement of product development and business strategies</li>
<li>Creating new, experimental frameworks to collect data</li>
<li>Building tools to automate data collection</li>
<li>Develop custom data models and algorithms to apply to data sets</li>
<li>Design, build, train, and deploy machine learning models and data products for enterprise use</li>
<li>Translate business and operational needs into scalable data science solutions and modeling approaches</li>
<li>Perform feature engineering, data preparation, and exploratory analysis to support model development</li>
<li>Develop and evaluate models using appropriate techniques (e.g., classification, regression, NLP, optimization)</li>
<li>Contribute to the design of data products, including model outputs, APIs, and integration into downstream systems</li>
<li>Support advanced AI use cases, including LLM-based solutions, retrieval-augmented generation (RAG), and hybrid modeling approaches where appropriate</li>
<li>Collaborate with engineering teams to integrate models into production environments using APIs, pipelines, and cloud services</li>
<li>Support deployment and lifecycle management of models within Azure Machine Learning, AWS, or similar platforms</li>
<li>Perform model validation, testing, and documentation to ensure quality and reproducibility</li>
<li>Contribute to technical design discussions and provide input on architecture and implementation strategies</li>
<li>Work within the full software development lifecycle (SDLC), including version control, testing, and release processes</li>
<li>Communicate model behavior, assumptions, and results clearly to technical and non-technical stakeholders</li>
<li>Develop A/B testing framework and test model quality</li>
<li>Passion for technology and emerging AI/ML trends</li>
<li>Additional duties as assigned</li>
</ul>
 
KNOWLEDGE & SKILLS:
<ul>
<li>Strong problem-solving skills with an emphasis on product development.</li>
<li>Strong foundation in machine learning, statistical modeling, and data science techniques</li>
<li>Experience building and deploying machine learning models in production environments</li>
<li>Familiarity with modern AI approaches, including:
<ul>
<li>Natural language processing (NLP)</li>
<li>Large language models (LLMs)</li>
<li>Retrieval-Augmented Generation (RAG)</li>
<li>Feature engineering and model evaluation techniques</li>
</ul>
</li>
<li>Experience working with cloud platforms such as Azure, AWS, or similar ecosystems</li>
<li>Familiarity with data pipelines, APIs, and integration patterns</li>
<li>Proficiency in programming languages such as Python and database management including SQL</li>
<li>Strong problem-solving skills with the ability to structure complex problems into analytical solutions</li>
<li>Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.), their real-world advantages/drawbacks and experience with applications</li>
<li>Excellent presentation and written/verbal communication skills</li>
</ul>
 
EDUCATION & EXPERIENCE:
<ul>
<li>Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, or a related technical field; Master’s preferred</li>
<li>2–5+ years of experience in data science, machine learning, or related roles</li>
<li>Experience developing and deploying machine learning models in production environments</li>
<li>Experience with cloud-based ML platforms such as Azure Machine Learning, AWS SageMaker, or similar</li>
<li>Exposure to AI platforms such as Azure OpenAI, AWS Bedrock, or similar technologies preferred</li>
<li>Experience working within enterprise software environments and SDLC practices preferred</li>
</ul>
 
PAY RANGE:
CorVel uses a market based approach to pay and our salary ranges may vary depending on your location.  Pay rates are established taking into account the following factors:  federal, state, and local minimum wage requirements, the geographic location differential, job-related skills, experience, qualifications, internal employee equity, and market conditions.  Our ranges may be modified at any time.
For leveled roles (I, II, III, Senior, Lead, etc.) new hires may be slotted into a different level, either up or down, based on assessment during interview process taking into consideration experience, qualifications, and overall fit for the role.  The level may impact the salary range and these adjustments would be clarified during the offer process.
Pay Range:  $82,574 – $127,490
A list of our benefit offerings can be found on our CorVel website: <a href="https://www.corvel.com/company/careers/" target="_blank" rel="noopener">CorVel Careers | Opportunities in Risk Management</a>
In general, our opportunities will be posted for up to 1 year from date of posting, or until we have selected candidate(s) to fulfill the opening, whichever comes first.
 
<a href="https://www.corvel.com/" target="_blank" rel="noopener">About CorVel</a>
CorVel, a certified Great Place to Work® Company, is a national provider of industry-leading risk management solutions for the workers’ compensation, auto, health and disability management industries.   CorVel was founded in 1987 and has been publicly traded on the NASDAQ stock exchange since 1991. Our continual investment in human capital and technology enable us to deliver the most innovative and integrated solutions to our clients.  We are a stable and growing company with a strong, supportive culture and plenty of career advancement opportunities.  Over 4,000 people working across the United States embrace our core values of Accountability, Commitment, Excellence, Integrity and Teamwork (ACE-IT!).
A comprehensive benefits package is available for full-time regular employees and includes Medical (HDHP) w/Pharmacy, Dental, Vision, Long Term Disability, Health Savings Account, Flexible Spending Account Options, Life Insurance, Accident Insurance, Critical Illness Insurance, Pre-paid Legal Insurance, Parking and Transit FSA accounts, 401K, ROTH 401K, and paid time off.
CorVel is an Equal Opportunity Employer, drug free workplace, and complies with ADA regulations as applicable.
#LI-Remote

Data Scientist II

2–5+ years of data science experience; Bachelor's in CS/DS/Engineering/Math; production ML deployment; cloud platforms (Azure/AWS); Python and SQL; strong communication.

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