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Entry Level Data Software Engineer Jobs in Nevada

Amperesand

Software Engineer-DevOps

Reno, NV · On-site

$140K - $160K/yr

Company Overview Amperesand is reinventing how the world powers its most critical systems. We are facing a once-in-a-generation opportunity for infrastructure disruption. Electricity demand is

Awg

Data Interrogation Team Member-1

Henderson, NV

$106K - $128K/yr

Provide a primary, quality focussed point of contact for internal and external customers to raise queries and apply effective communication skills, networks and channels to progress to resolution

Awg

Data Interrogation Team Member-3

Henderson, NV · On-site

$106K - $128K/yr

Provide a primary, quality focussed point of contact for internal and external customers to raise queries and apply effective communication skills, networks and channels to progress to resolution

Pwc

Data Engineer - Senior Associate

Las Vegas, NV · On-site

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary The Opportunity As a Data Engineer - Senior Associate, you will focus on

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All JobsData Software Engineer JobsEntry Level Data Software Engineer JobsEntry Level Data Software Engineer Jobs in Nevada

Entry Level Data Software Engineer information

See Nevada salary details

$45.3K

$132.1K

$180.8K

How much do entry level data software engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for entry level data software engineer in Nevada is $132,091.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,600.00 and $140,000.00 per year, depending on experience, location, and employer.

What is the difference between Entry Level Data Software Engineer vs Data Analyst?

AspectEntry Level Data Software EngineerData Analyst
Required CredentialsBachelor's in Computer Science, Data Science, or related field; programming skills in Python, Java, or SQLBachelor's in Statistics, Mathematics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentDeveloping data pipelines, software tools, and applications; collaborating with data engineers and software developersAnalyzing data sets, creating reports, and visualizations; working closely with business teams
Employer & Industry UsageTech companies, startups, and enterprises focusing on data-driven software solutionsFinance, marketing, healthcare, and consulting firms focusing on data insights

While both roles involve working with data, Entry Level Data Software Engineers focus on building data systems and software, requiring programming skills. Data Analysts primarily interpret data to provide insights, emphasizing analysis and visualization. The roles often overlap but serve different functions within data teams.

What are the key skills and qualifications needed to thrive as an entry level data software engineer?

To thrive as an Entry Level Data Software Engineer, you need foundational knowledge in programming (such as Python, Java, or SQL), data structures, and algorithms, typically supported by a relevant degree or coursework in computer science or related fields. Familiarity with tools like Git, databases (e.g., MySQL, PostgreSQL), and data processing frameworks (such as Hadoop or Spark) is often required. Problem-solving abilities, attention to detail, and strong teamwork and communication skills help you adapt and collaborate effectively. These skills and qualities are essential for building reliable data solutions and contributing to team-driven engineering projects.

What are some common challenges faced by entry level data software engineers, and how can they overcome them?

Entry level data software engineers often encounter challenges such as understanding complex data pipelines, adapting to new technologies quickly, and collaborating with cross-functional teams. To overcome these challenges, it's helpful to ask questions regularly, seek mentorship from more experienced colleagues, and invest time in learning the company's tech stack and best practices. Developing strong communication skills will also make it easier to work with data scientists, analysts, and other engineers, ensuring smoother collaboration and faster professional growth.

What does an entry level data software engineer do?

An Entry Level Data Software Engineer designs, develops, and maintains software systems that handle and process data. They often work with databases, data pipelines, and tools for collecting, storing, and analyzing large datasets. Their responsibilities typically include writing code, debugging, testing applications, and collaborating with other engineers or data scientists. This role is ideal for those new to the field, as it allows them to build foundational skills in software engineering and data management.
What are popular job titles related to Entry Level Data Software Engineer jobs in Nevada? For Entry Level Data Software Engineer jobs in Nevada, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Software Engineer jobs in Nevada look for? The top searched job categories for Entry Level Data Software Engineer jobs in Nevada are:
What cities in Nevada are hiring for Entry Level Data Software Engineer jobs? Cities in Nevada with the most Entry Level Data Software Engineer job openings:
Entry Level Data Software Engineer jobs near you
Infographic showing various Entry Level Data Software Engineer job openings in Nevada as of June 2026, with employment types broken down into 2% As Needed, 75% Full Time, 16% Part Time, and 7% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $132,091 per year, or $63.5 per hour.

Software Engineer - ML/Computer Vision (Battery Sorting)

Redwood Materials

Mccarran, NV • On-site

Other

Re-posted 14 days ago

Redwood Materials rating

7.6

Company rating: 7.6 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

23rd of 90 rated recycling and waste

Job description

Software Engineer, ML/Computer Vision (Battery Sorting)

The Battery Sorting team at Redwood Materials is building a world-class, ML-enabled sorting platform that uses computer vision and machine learning to classify and route thousands of end-of-life batteries per hour across diverse chemistries and form factors. This role sits at the intersection of software engineering and machine learning, with direct ownership of the production systems powering automated battery sorting on the factory floor. The ideal candidate is equally comfortable debugging a production incident as iterating on a model, and will have the opportunity to generate patents in automated battery classification. This is a high-impact, highly visible role with immediate real-world application in advancing the energy transition.

Hours

Full-time | Schedule may vary depending on site operational needs; flexibility required

Responsibilities will include:

  • Develop, test, and maintain production software systems powering automated battery sorting, spanning ML inference, image acquisition, sensor integration, and hardware-adjacent control interfaces
  • Train and deploy computer vision models for battery chemistry classification, including dataset annotation, preprocessing, and evaluation within established data pipelines
  • Build and maintain services and APIs that connect ML outputs to downstream systems including MES, HMI, and PLC/controls interfaces
  • Own observability across the production software stack through structured logging, metrics dashboards, alerting, and on-call triage for inference pipelines and supporting services
  • Monitor model performance in production to catch regressions or distribution shifts and drive iterative improvements through data analysis and retraining
  • Contribute to infrastructure-as-code and CI/CD workflows to validate, version, and deploy application code and ML model artifacts to production environments
  • Collaborate cross-functionally with Controls, Hardware, Manufacturing, DevOps, and IT teams to translate operational needs into software and model improvements

Desired Qualifications:

  • B.S. in Computer Science, Electrical Engineering, or a related field, or equivalent practical experience
  • 2+ years of industry experience working with machine learning models, preferably in computer vision
  • Hands-on experience with ML frameworks and libraries such as PyTorch and OpenCV
  • Experience contributing to production codebases and pipelines with an emphasis on clean, well-documented, and well-tested code
  • Experience designing and tracking ML experiments using tools such as MLflow
  • Familiarity with edge deployment or model optimization techniques for inference (e.g., quantization, TensorRT, ONNX Runtime) in latency-sensitive or resource-constrained environments
  • Experience with OCR, image classification pipelines, or multi-sensor and multimodal fusion
  • Experience working in or alongside industrial, manufacturing, or operations environments where software interacts with physical systems
  • Strong cross-functional communication skills and ability to prioritize and execute in a fast-paced, dynamic environment
  • A passion for sustainability and making the world a better place!

Working Conditions:

  • Factory floor environment; work schedule may vary depending on site operational needs and flexibility is required
  • Willingness and ability to travel to Reno, NV as needed
  • Additional working conditions to be confirmed with Hiring Manager

What Redwood Materials employees say

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Hours and flexibility

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