Lincoln, NE

Engineer Jobs in Lincoln, NE

2 jobs found

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Today

Software Engineer

Arbor Day Foundation Lincoln, NE

Lincoln, NE

Today

Full time .NET APIs Application Support

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Job Description

Arbor Day Foundation is hiring a Software Engineer on the Technology team to design, build, and support applications and integrations that power the mission.

Responsibilities

Design, develop, and maintain applications, services, integrations, and APIs supporting the Foundation’s mission
Work with business and technology partners to turn requirements and ideas into scalable, reliable software
Build and support solutions using C#, .NET, SQL Server, Azure, JavaScript, and enterprise platforms
Create and support system integrations and data flows that securely connect Foundation applications with external partners
Troubleshoot and enhance existing applications to improve performance, usability, security, and reliability
Participate in the full SDLC: design, development, testing, deployment, and ongoing support
Contribute to code reviews, technical standards, documentation, and continuous improvement
Evaluate new technologies and recommend improvements that increase impact

Requirements

3+ years of software development experience
Strong proficiency in C#, .NET, and SQL Server
Interest in complex problem-solving and building scalable solutions
Ability to translate business needs into reliable software and integrations
Effective communication and strong collaboration across teams
Eagerness to learn and grow within Microsoft technologies, Azure, Dynamics 365, and related platforms
Passion for the Foundation’s mission, nature, environmental stewardship, and people

Technologies

C#, .NET
SQL Server
Azure
JavaScript
Dynamics 365

Location and Schedule

Lincoln, NE (hybrid)
In-office schedule: Monday, Tuesday, Thursday
Optional remote work: Wednesday and Friday

Reporting and Collaboration

Reports to Manager, Software Engineering
Partners with business users, analysts, project managers, the business intelligence team, fellow developers, and external partners

What Success Looks Like

Deliver high-quality work within two-week sprints, communicating early when priorities or blockers change
Own work end-to-end from planning through development, testing, deployment, and follow-up
Translate business needs into technical solutions that can be planned and delivered
Build solutions that are secure, reliable, scalable, and maintainable
Collaborate throughout sprints to keep work moving and solve problems
Participate in sprint planning, estimation, demos, and retrospectives to drive continuous improvement
Balance sprint delivery with long-term improvements to systems, technical practices, and platforms

Benefits

Medical, Dental, Vision (multiple options including PPO and HDHP)
Company-Paid Life Insurance ($15,000 basic coverage plus voluntary options)
Short- & Long-Term Disability (fully covered by the company)
Employee Assistance Program (EAP) with free, confidential counseling and resources for you and your family
Supplemental Insurance Options (Accident, Critical Illness including infertility coverage, Hospital Indemnity)
401(k) Retirement Plan (immediate eligibility with company match up to 5%)
401(k) Vesting (full vesting after 5 years)
Flexible Spending Accounts & Health Savings Account for pre-tax healthcare and dependent care expenses
Paid Holidays (eight paid holidays, one floating holiday, and an annual “Unplug Time” during the holidays)
Parental Leave (12 weeks paid for birthing parents; 2 weeks paid for non-birthing parents; also for adoptions)
Paid Time Off (vacation, sick leave, volunteer time off)
Professional Development (LinkedIn Learning access and tuition reimbursement)
Annual Learning Goal (encouraged 40+ hours on development)
HealthJoy App (included with the health plan for care navigation)
Wellness & Recognition (incentives and recognition gifts for work anniversaries and birthdays)
Exclusive Discounts & Free Admission (Tree Adventure, Arbor Lodge State Historical Park, golf, and more)

How to Apply

Typical process: Recruiter conversation (phone), Hiring manager interview (in-person/virtual), On-site interviews with team members and leadership
Follow-up target: within two weeks after applying
Application materials: resume plus responses to application questions
Human-reviewed applications: no AI is used to select applicants

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2mo ago

Analytics Engineer - AI Trainer

DataAnnotation Lincoln, NE 🇺🇸 Remote

Lincoln, NE

2mo ago Closed

$50 - $100/hr Full time Ai Ml Ai Training Analyst

This position is no longer accepting applications (closed Aug 23, 2026).

Job Description

DataAnnotation offers a fully remote Analytics Engineer - AI Trainer role with a flexible schedule and meaningful impact on AI systems that reason about data. You will assess AI generated quantitative work for technical accuracy, design problems to train and benchmark models, and document your analyses to advance quantitative reasoning in AI. This position is remote and open to residents in the United States, Canada, the United Kingdom, Ireland, Australia, and New Zealand.

Benefits

Fully remote work from anywhere within the United States, Canada, UK, Ireland, Australia, or New Zealand.
Flexible schedule that lets you choose projects and timing.
Competitive hourly pay, with opportunities for higher-paying projects based on performance, up to $60 per hour.
Direct impact on the development of AI systems designed for data analysis and quantitative reasoning.
Payment processed via PayPal.

Responsibilities

Assess AI generated quantitative work for technical accuracy and real world validity, including statistical analysis, predictive modeling, scientific reasoning, and data driven insights.
Design and solve quantitative problems used to train and benchmark AI systems across forecasting, experimental analysis, optimization, and statistical inference.
Write clear technical explanations and maintain well documented analytical code.
Provide feedback that shapes the next generation of AI models built for quantitative reasoning.

Requirements

2+ years of hands-on experience in a quantitative role or research environment, such as data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or related fields.
Some coding experience with comfort writing and reviewing analytical code end-to-end.
Practical experience with statistical methods, predictive modeling, and experimental design (A/B testing, hypothesis testing, regression, time series forecasting).
Fluency in English with strong writing skills (native or bilingual).
Bachelor's degree in a quantitative field is preferred; a master's or PhD is a plus.
Relevant credentials are advantageous (for example Kaggle rankings, AWS or GCP ML certifications, or equivalent demonstrated expertise).

Note: Payment is processed via PayPal. This role is available to applicants in the United States, Canada, the United Kingdom, Ireland, Australia, and New Zealand.

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Engineer Jobs in Lincoln, NE

Software Engineer

Analytics Engineer - AI Trainer

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