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Data Engineer Manager Jobs in Nebraska (NOW HIRING)

WoodmenLife

Data and Analytics - AI Engineer II

Omaha, NE · On-site +1

$107K - $150K/yr

AI Engineer II Division: Business Technology Department: Data & Analytics Location: Home Office ... Apply AIOps/MLOps practices for deployment, monitoring, and lifecycle management Collaboration ...

Cordova

Data Warehouse Manager I

Omaha, NE · Hybrid

The Data Warehouse Manager is responsible for the growth and development of members of the Data Warehouse including developers, BA/QA, and support staff. Holds regular one-on-one meetings with ...

Ericsson

Data Center Engineer

Omaha, NE · On-site

... Data Center Optical Engineer to lead work in customer environments and co-locations. The person in ... Jessica Rincon Hiring Manager: Jossie Prochilo Compensation and Benefits at Ericsson At Ericsson ...

Milliman

Strategic Data Partnership Manager

Omaha, NE · Remote

We're hiring a Strategic Data Partnership Manager to help drive that growth on both sides of the ... You'll work closely with product, engineering, legal, sales and other market-facing teams. * Grow ...

Amentum

Data Scientist - Expert

Omaha, NE · On-site

... programming languages including Python, R, and SQL * Deep Expertise in data visualization tools and applications, including Power BI and Tableau * Extensive experience managing and merging disparate ...

Pae

Data Scientist - Expert

Omaha, NE · On-site

... programming languages including Python, R, and SQL * Deep Expertise in data visualization tools and applications, including Power BI and Tableau * Extensive experience managing and merging disparate ...

Monitise

Data Security Engineer

Omaha, NE

Job Title Data Security Engineer About your role: As a Data Security Engineer, you design ... Certified Information Systems Auditor (CISA), Certified Information Security Manager (CISM ...

Motorola

$75K - $85K/yr

... Jail Management Systems and Mobile Data Computing, among other offerings. Remote position and ... The Field Engineer is ultimately accountable for the system being implemented based on the site ...

Deckers

Collaborate with data engineering teams to translate architecture designs into scalable physical ... Experience with metadata management, data cataloging, and lineage concepts and platforms

Flagstar Bank

Data Scientist Sr

Atlanta, NE · On-site

Manage ongoing data analytics processes, document calculations, code, and adhere to proper risk and ... Experience programming statistical & data science languages (e.g. Excel VBA, SQL, Python, R)

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All JobsData Engineer JobsData Engineer Manager JobsData Engineer Manager Jobs in Nebraska

Data Engineer Manager information

See Nebraska salary details

$42.4K

$123.7K

$169.2K

How much do data engineer manager jobs pay per year?

As of Jul 15, 2026, the average yearly pay for data engineer manager in Nebraska is $123,678.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,200.00 and $131,100.00 per year, depending on experience, location, and employer.

What are some typical challenges a Data Engineer Manager faces in their role?

Data Engineer Managers often face the challenge of balancing technical project delivery with team development and stakeholder management. They must ensure data systems remain scalable and reliable while adapting to evolving business requirements and new technologies. Additionally, managing cross-functional communication between data engineers, analysts, and business leaders can require strong organizational and interpersonal skills. Success in this role requires staying current with industry trends and fostering a collaborative, innovative team culture.

What engineers make 200,000 a year?

Senior data engineer managers and experienced data engineering leaders often earn $200,000 or more annually, especially in high-demand industries or large organizations. These roles typically require advanced skills in data architecture, cloud platforms, and leadership, along with several years of experience.

What engineers make 300,000 a year?

Senior data engineer managers and experienced data engineering leaders often earn $300,000 or more annually, especially in high-cost-of-living areas or within large tech companies. These roles typically require advanced skills in cloud platforms, data architecture, and leadership, along with extensive industry experience and relevant certifications.

What does a data engineer manager do?

A data engineer manager oversees teams responsible for designing, building, and maintaining data pipelines and infrastructure. They coordinate data collection, storage, and processing efforts, often using tools like SQL, Hadoop, or Spark, and ensure data quality and security while aligning projects with organizational goals.

What are the key skills and qualifications needed to thrive in the Data Engineer Manager position, and why are they important?

To thrive as a Data Engineer Manager, you need robust experience in data architecture, pipeline design, team leadership, and a relevant degree in computer science or a related field. Proficiency with cloud platforms (like AWS or Azure), big data tools (such as Hadoop, Spark), and certifications in data engineering or project management are highly valued. Strong soft skills like effective communication, problem-solving, and mentorship set exceptional managers apart. These competencies enable strategic oversight of technical teams and ensure reliable, scalable data solutions that meet business objectives.

What does a Data Engineer Manager do?

A Data Engineer Manager leads a team of data engineers to design, build, and maintain data pipelines and infrastructure. They collaborate with data scientists, analysts, and business stakeholders to ensure efficient data processing and accessibility. Their responsibilities include project management, team leadership, system architecture decisions, and optimizing data workflows. Additionally, they enforce best practices for data governance, security, and scalability.

What engineers make $500,000?

Senior data engineers, especially those with extensive experience, advanced skills in cloud platforms, and expertise in big data tools, can earn $500,000 or more annually. High compensation often involves leadership roles, performance bonuses, and stock options in large organizations or tech companies.
What are the most commonly searched types of Data Engineer jobs in Nebraska? The most popular types of Data Engineer jobs in Nebraska are:
What are popular job titles related to Data Engineer Manager jobs in Nebraska? For Data Engineer Manager jobs in Nebraska, the most frequently searched job titles are:
What job categories do people searching Data Engineer Manager jobs in Nebraska look for? The top searched job categories for Data Engineer Manager jobs in Nebraska are:
What cities in Nebraska are hiring for Data Engineer Manager jobs? Cities in Nebraska with the most Data Engineer Manager job openings:
Data Engineer Manager jobs near you
Infographic showing various Data Engineer Manager job openings in Nebraska as of July 2026, with employment types broken down into 1% As Needed, 79% Full Time, 14% Part Time, 1% Temporary, 4% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $123,678 per year, or $59.5 per hour.
Data and Analytics - AI Engineer II

Data and Analytics - AI Engineer II

WoodmenLife

Omaha, NE • On-site, Remote

$107K - $150K/yr

Full-time

Re-posted 17 days ago

Job description

AI Engineer II (Hybrid) YOU MUST CURRENTLY BE IN OMAHA AREA!
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 teams 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 135 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 integrate 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

AI Engineering & Delivery
  • 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

Collaboration & Continuous Improvement
  • 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

  • Cloud Platforms: Azure

  • Tools: Power Automate, AI Foundry, Power Platform

  • 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

Career Growth
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.

Apply