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Full Stack Data Engineer Jobs in Nebraska (NOW HIRING)

Salute Inc.

Sr. Full Stack Builder

Bennington, NE · On-site

$150K - $165K/yr

... engineers and with various Product Specialists) building AI, data, and analytics products end-to ... Full-stack data and analytics chops. You're comfortable pulling data from a warehouse like ...

New

Saicon Consultants Inc.

Java Full Stack Developer

Omaha, NE · On-site

$50.25 - $64.75/hr

... data processing frameworks, while also contributing to frontend development ... This role requires a highly motivated engineer with excellent analytical and problem-solving skills ...

Cnx

Java Full stack Developer (NoSQl and Solr exp)

Omaha, NE · On-site

$50.25 - $64.75/hr

With unique data and insights, deep industry expertise, and advanced technology solutions, we're ... Java Full stack Developer (NoSQl and Solr exp) Location: Omaha, NE (Onsite - 5 days a week) We're ...

Cnx

Java Full stack Developer

Omaha, NE · On-site

$92K - $101K/yr

Java Full stack Developer We're Concentrix. The intelligent transformation partner. Solution ... With unique data and insights, deep industry expertise, and advanced technology solutions, we're ...

BasicBlock Inc.

Full Stack Developer

Lincoln, NE

$100K - $125K/yr

About the Software Engineer position We are looking for a Software Engineer who will assist us with ... Lead full lifecycle software development * Write clean, testable, and efficient code * Document and ...

BasicBlock Inc.

Full Stack Developer

Lincoln, NE · On-site

$100K - $125K/yr

About the Software Engineer position We are looking for a Software Engineer who will assist us with ... Lead full lifecycle software development * Write clean, testable, and efficient code * Document and ...

BasicBlock Inc.

Full Stack Developer

Lincoln, NE · On-site

$100K - $125K/yr

About the Software Engineer position We are looking for a Software Engineer who will assist us with ... Lead full lifecycle software development * Write clean, testable, and efficient code * Document and ...

Cordova

Full Stack - Developer

Omaha, NE

Create security and data protection settings The Ideal Candidate for This Role: Technical Expertise ... Experience utilizing AI engineering tools to accelerate software development pipelines preferred

SmartIPlace

.NET Senior Full Stack Developer

Omaha, NE · On-site

Proactive, visionary Senior Full Stack Engineer to join Corporate IT Engineering team. This role is not a task taker but need a consultant minded engineer who can look at legacy systems and see ...

Brookfield

Full-Stack Web Developer

Omaha, NE · On-site

$100K - $120K/yr

The Senior Full-Stack Web Developer designs, builds, and supports scalable, highquality web ... Design and develop modern 3tier web applications across front-end, backend, and data layers * Build ...

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Showing results 1-20

All JobsFull Stack Data Engineer JobsFull Stack Data Engineer Jobs in Nebraska

Full Stack Data Engineer information

See Nebraska salary details

$42.4K

$128.5K

$181.6K

How much do full stack data engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for full stack data engineer in Nebraska is $128,497.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,800.00 and $150,600.00 per year, depending on experience, location, and employer.

What is a full stack data engineer?

A Full Stack Data Engineer is a professional who designs, builds, and maintains the entire data pipeline, from data collection and storage to processing and visualization. They work with both the backend infrastructure (such as databases, data warehouses, and ETL processes) and frontend tools (like dashboards or reporting systems) to ensure data is accessible and usable for analytics. Full Stack Data Engineers possess skills in programming, database management, data modeling, cloud platforms, and often data visualization, allowing them to manage every stage of data flow within an organization.

How does a full stack data engineer typically balance responsibilities between backend data infrastructure and frontend data presentation tasks?

Full Stack Data Engineers are often required to split their time between developing robust backend data pipelines and creating user-facing tools or dashboards that visualize data insights. This dual responsibility means you'll need to prioritize tasks based on project needs, effectively collaborating with data scientists, analysts, and frontend developers. Communication is key, as you'll bridge gaps between technical teams and business stakeholders, ensuring data flows seamlessly from source systems to end users. Over time, many engineers find opportunities to specialize further or move into leadership roles overseeing data architecture and team strategy.

What are the key skills and qualifications needed to thrive as a full stack data engineer, and why are they important?

To thrive as a Full Stack Data Engineer, you need strong expertise in data modeling, ETL processes, and proficiency in both backend (e.g., Python, Java) and frontend (e.g., JavaScript, React) development, often supported by a degree in computer science or a related field. Familiarity with cloud platforms (such as AWS or Azure), big data tools (like Spark or Hadoop), and database systems (SQL and NoSQL) is typically required, and certifications in these technologies are advantageous. Excellent problem-solving, communication, and collaboration skills help you bridge gaps between data, development, and business teams. These skills ensure you can design, build, and maintain scalable data solutions that meet organizational needs efficiently.

What is the difference between Full Stack Data Engineer vs Data Scientist?

AspectFull Stack Data EngineerData Scientist
CredentialsBachelor's/Master's in CS, Data Engineering certificationsBachelor's/Master's in CS, Data Science or related fields
Work EnvironmentBuild data pipelines, manage databases, develop APIsAnalyze data, create models, generate insights
Industry UsageTech, finance, healthcare, where data infrastructure is keyResearch, analytics, product development teams

Full Stack Data Engineers focus on building and maintaining data infrastructure, integrating data from various sources, and ensuring data availability. Data Scientists analyze data, develop models, and generate insights. While both roles require strong technical skills, Full Stack Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

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

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

What job categories do people searching Full Stack Data Engineer jobs in Nebraska look for?

The top searched job categories for Full Stack Data Engineer jobs in Nebraska are:

Full Stack Data Engineer jobs near you
Infographic showing various Full Stack Data Engineer job openings in Nebraska as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $128,497 per year, or $61.8 per hour.

Sr. Full Stack Builder

Salute Inc.

Bennington, NE • On-site

$150K - $165K/yr

Full-time

Posted yesterday

New

Job description

The Role

This role is designed for former engineering leaders (IC or EM) or founders who are comfortable owning end-to-end technical outcomes but specifically want to continue being impactful as individual contributors and spend more time in the code and solving with business users. This is a full-stack data and analytics role: you'll pull data from our Snowflake data lake or directly from source systems, build out the data structures, marts, and views to support it, and build front-end visualizations that put insight in the hands of the business.

You'll work on a small, high-caliber team (2–3 engineers and with various Product Specialists) building AI, data, and analytics products end-to-end - from data ingestion and modeling through to the visualizations business users rely on. You'll set technical direction, write code, and be the person the team looks to when something is hard.

You'll spend roughly 75% of your time in development and 25% working directly with stakeholders - often their technical leaders - understanding problems, walking through tradeoffs, and making sure what we're building meets their needs.

Most engineers take a decade to see this range of hard problems across this many domains. Here, you'll do it in your first year. To make this possible, we are religious about being the best place to learn Applied AI engineering practices.

What You Bring

  • 8+ years of engineering experience, with deep care for the craft. You've shipped complete products end-to-end and write elegant, production-ready code across multiple disciplines.
  • Specific interest in applying software engineering fundamentals to AI systems. You care about balancing frontier model capabilities with good system design.
  • Full-stack data and analytics chops. You're comfortable pulling data from a warehouse like Snowflake or directly from source systems, modeling it into clean structures, marts, and views, and building front-end visualizations that business users can act on.
  • Comfort talking with senior technical stakeholders. You navigate conversations skillfully, and care about people using what you build.
  • High ownership mindset. You jump in without instruction, embrace a "no job too big, no job too small" mindset, and want to shape strategy and culture.
  • Low ego, high integrity. You help others and ask for help. You hold a high bar for honesty - with yourself and your team.

Our Engineering Philosophy

We build AI systems our own way: bringing the rigor of proven software engineering to the unpredictable nature of frontier AI. We frame our work around hypotheses we can test, build data sets that last, and make sure what we deliver keeps performing long after handoff.

With more than 30 AI products shipped, we've formed clear views on what separates the ones that succeed and what it takes to get them live.

How This Role Is Different

Engineers here typically ship two to three products a year and pick up lessons from dozens more. You'll own each one with real independence, but you won't get a year to perfect any single system. In exchange, you stay constantly close to the latest models and tooling and develop an instinct for AI product development you'd struggle to find elsewhere.

Our Values

  • Overdeliver: We're defining how enterprises unlock value from LLMs, and earning a name as a world-class applied AI team along the way.
  • Overuse AI: We explore and experiment relentlessly to advance applied AI, and we pass what we learn on to each other.
  • Over-"engineer" the Culture: We're shaping a culture that draws and keeps the best applied AI talent, and we pressure-test big decisions against the judgment of our world-class builders.

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