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1099 Data Engineer Jobs in Nebraska (NOW HIRING)

AI Engineer II Division: Business Technology Department: Data & Analytics Location: Home Office (Hybrid - Omaha, NE preferred) Role Overview How This Role Fits into WoodmenLife This role is part of a ...

AI Engineer II Division: Business Technology Department: Data & Analytics Location: Home Office (Hybrid - Omaha, NE preferred) PLEASE NOTE: WoodmenLife will not sponsor applicants for work visas for ...

Partner with the Data Engineering team to source, integrate, and validate data from across the Firm * Develop and apply data quality standards to ensure reliable, trustworthy outputs * Document data ...

Partner with the Data Engineering team to source, integrate, and validate data from across the Firm * Develop and apply data quality standards to ensure reliable, trustworthy outputs * Document data ...

Senior AI Engineer

Minneapolis, MN

$109K - $149K/yr

The role will partner with AI Data Scientists and AI Developers to operationalize models, ensure robust data governance, and deliver measurable technical outcomes including improved system ...

Collaborate closely with engineering teams on data sourcing, transformations, pipeline optimization, and performance improvements. Required Technical Skills * Strong SQL expertise, including complex ...

AI Engineer

Bellevue, NE · On-site

$108K - $130K/yr

Summary The AI Scientist will work in teams addressing statistical, machine learning and data ... Optimize foundation models through prompt engineering, fine-tuning, distillation, quantization, and ...

Senior Knowledge Engineer

Atlanta, NE · On-site

$124K - $171K/yr

Define and enforce data modeling standards, schema design patterns, and best practices for ... Lead knowledge engineering discovery workshops and working sessions with client stakeholders to ...

The ideal candidate combines deep technical expertise in data architecture and engineering with strong communication and leadership skills. They will leverage modern development practices, including ...

Showing results 21-40

1099 Data Engineer information

What is a 1099 data engineer?

A 1099 Data Engineer is an independent contractor who designs, builds, and manages data systems for organizations, typically working on a project or freelance basis rather than as a full-time employee. The '1099' refers to the IRS tax form used for reporting income earned by self-employed individuals or contractors in the United States. Unlike traditional employees, 1099 Data Engineers are responsible for their own taxes and benefits, and they often work with multiple clients. Their duties may include data integration, pipeline development, database management, and ensuring data reliability. This role is ideal for those seeking flexible work arrangements and a variety of projects.

What are the key skills and qualifications needed to thrive as a 1099 data engineer?

To thrive as a 1099 Data Engineer, you need strong expertise in data modeling, SQL, ETL development, and programming languages like Python or Scala, typically supported by a degree in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data tools (like Spark or Hadoop), and certifications in these technologies are highly valued. Excellent problem-solving, communication, and time-management skills are crucial for independently managing projects and client relationships. These competencies ensure efficient data solutions, reliable project delivery, and successful collaboration in a contract-based environment.

What are some common challenges faced by 1099 data engineers working as independent contractors?

As a 1099 Data Engineer, one of the main challenges is managing multiple client projects simultaneously while maintaining clear communication and meeting deadlines. Independent contractors are also responsible for their own tools, data security, and staying current with evolving technologies without direct employer support. Additionally, building trust with clients and consistently demonstrating value is essential, since contract extensions and new opportunities often depend on proven performance. Networking and self-promotion are key to securing a steady flow of projects.

What is the difference between 1099 Data Engineer vs W-2 Data Engineer?

Aspect1099 Data EngineerW-2 Data Engineer
Employment StatusIndependent contractor, self-employedEmployee of the company
CredentialsTypically required to have relevant skills and certifications, but no employer-provided credentialsSame credentials as 1099, often with additional company-specific training
Work EnvironmentRemote or on-site, project-basedUsually on-site or hybrid, with company benefits
Tax & BenefitsResponsible for own taxes, no benefitsEmployer handles taxes, provides benefits

In summary, a 1099 Data Engineer works independently, managing their own taxes and benefits, while a W-2 Data Engineer is employed directly by a company with standard employee benefits. Both roles require similar skills and certifications, but differ mainly in employment status and associated responsibilities.

What are popular job titles related to 1099 Data Engineer jobs in Nebraska?

For 1099 Data Engineer jobs in Nebraska, the most frequently searched job titles are:

What cities in Nebraska are hiring for 1099 Data Engineer jobs?

Cities in Nebraska with the most 1099 Data Engineer job openings:

Data and Analytics - AI Engineer II

Woodmenlife

Omaha, NE • On-site

$110 - $150/hr

Other

Re-posted 24 days ago


Job description

WoodmenLife Home Office, 1700 Farnam Street, Omaha, Nebraska, United States of America

Job Description

Posted Tuesday, July 28, 2026 at 5:00 AM

Requisition Job Title: AI Engineer II Division: Business Technology Department: Data & Analytics Location: Home Office (Hybrid – Omaha, NE preferred)

Role Overview How This Role Fits into WoodmenLife

This role is part of a newly formed AI team within the Data & Analytics function, currently consisting of an AI Engineer Lead (III), Data Scientist I, and an AI Engineer intern. The team works closely with the Data Analytics team s and stakeholders across Business Technology to deliver enterprise AI capabilities.

The AI Engineer II plays a critical role in building and deploying scalable, production-grade AI solutions that support core business functions. This position helps drive WoodmenLife’s transformation into an AI-first organization, modernizing processes across underwriting, claims, customer experience, and risk assessment.

Why You’ll Love This Role

WoodmenLife is seeking an AI Engineer II to help bring AI solutions from concept to reality across the enterprise. In this role, you’ll build systems that go beyond experimentation—delivering real, measurable business impact.

This position is ideal for someone passionate about applying AI in production environments, solving meaningful business problems, and working across a modern cloud-based ecosystem. You’ll gain exposure to end-to-end AI delivery, collaborate with cross-functional teams, and play a foundational role in scaling AI capabilities across the organization.

WoodmenLife offers a supportive, collaborative environment that encourages growth, innovation, and continuous learning.

This is the Life (WoodmenLife)

As a not-for-profit life insurance company, WoodmenLife is devoted to protecting the financial futures of families and making a difference in hometowns across America. With over 13 5 years of success, our commitment extends beyond our members—we invest in our associates.

We provide an environment that encourages professional growth, creativity, and innovation, while supporting meaningful work that directly impacts our members and communities.

What You’ll Do Key Functions
  • Design and develop AI/ML solutions aligned with business objectives
  • Build and deploy RAG augmented CoPilots into enterprise production environments
  • Develop data pipelines and infrastructure to support AI workloads
  • Monitor model performance and implement continuous improvements
  • Ensure AI solutions meet security, compliance, and governance standards
Day-to-Day Responsibilities
  • Design and build AI/ML solutions for various business units
  • Design and i ntegrate Agentic processes into enterprise systems and workflows
  • Maintain and optimize data pipelines for training and inference
  • Monitor model accuracy, drift, and performance metrics
  • Collaborate with cross-functional teams to deliver scalable solutions
  • Participate in code reviews, documentation, and best practice development
  • Build prototypes, MVPs, and production-ready AI applications
  • Develop agentic workflows and intelligent automation solutions
  • Implement APIs and services for agent integration
  • Apply AIOps/ MLOps practices for deployment, monitoring, and lifecycle management
  • Partner with Data Teams , IT, and business stakeholders
  • Contribute to enterprise AI strategy and adoption
  • Stay current with emerging AI tools and technologies
  • Promote responsible AI practices including fairness, explainability, and compliance
Tools & Technologies

Languages: Python, SQL, C#

Frameworks: TensorFlow, PyTorch , ML.NET

Data Platforms: Snowflake (preferred), SQL Server, Fabric

Projects & Initiatives
  • Advancing enterprise AI/ML capabilities and platforms
  • Building intelligent automation and agent-based workflows
  • Strengthening the organization’s data and AI foundation
  • Driving responsible AI governance and compliance practices
  • Expanding AI adoption across business functions
Qualifications Minimum Qualifications
  • Bachelor’s degree in Computer Science , Data Science, or related field
  • 3–5 years of experience developing AI/ML solutions in production environments
  • Strong programming skills in Python, SQL, and C#
  • Experience with machine learning, deep learning, or NLP
  • Experience with cloud platforms and MLOps practices
  • Strong analytical, problem-solving, and communication skills
  • Ability to manage multiple priorities and meet deadlines
Preferred Qualifications
  • Experience in insurance or financial services
  • Familiarity with underwriting, claims, or risk workflows
  • Experience with Microsoft technology stack and Snowflake
  • Exposure to responsible AI and governance frameworks

AI Engineers may advance to AI Engineer III, with opportunities to expand into senior engineering, architecture, or AI leadership roles as the organization continues scaling its AI capabilities.

Operational Considerations

This is a hybrid role based in Omaha, NE. Candidates should be able to work on-site as needed to support team collaboration and strategic initiatives.

Leadership Insight

Leadership style is people-centered, focusing on understanding individual strengths, empowering ownership, and fostering a collaborative environment where team members can grow and succeed.

WoodmenLife offers a competitive compensation and benefits package. Learn more: https://www.woodmenlife.org/careers/home-office/benefits/ . Employment is contingent upon successful completion of background checks, which may include criminal, credit, fingerprinting (where required ), drug screening, and reference checks. WoodmenLife is committed to creating an inclusive environment that values diverse perspectives and provides equal opportunities for growth, leadership, and service .

WoodmenLife Home Office, 1700 Farnam Street, Omaha, Nebraska, United States of America

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