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Data Engineer Entry Level Jobs in Nevada (NOW HIRING)

Pwc

AI & GenAI Data Scientist - Manager

Las Vegas, NV

$99K - $232K/yr

In this role at PwC, you will apply data, algorithms, and software engineering to build and deploy ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Hamilton Medical, Inc.

Manufacturing Engineer II

Reno, NV · On-site

$65K - $120K/yr

Achieving this requires collaboration with entry level engineers and multiple teams (Sales ... Proficient in using data analysis programs and Microsoft Suite, experience with VBA, C++, G-CODE ...

Hamilton Medical, Inc.

Manufacturing Engineer II

Reno, NV

$72K - $93K/yr

Achieving this requires collaboration with entry level engineers and multiple teams (Sales ... Proficient in using data analysis programs and Microsoft Suite, experience with VBA, C++, G-CODE ...

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All JobsData Engineer Entry Level JobsData Engineer Entry Level Jobs in Nevada

Data Engineer Entry Level information

See Nevada salary details

$45.3K

$132.1K

$180.8K

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

As of Jun 9, 2026, the average yearly pay for data engineer entry level 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 are some typical projects or tasks that entry-level data engineers work on during their first year?

As an entry-level data engineer, you can expect to work on tasks such as building and maintaining data pipelines, cleaning and transforming raw data, and supporting the integration of different data sources. You'll often collaborate with data analysts and more senior engineers to ensure data is accurate, accessible, and well-documented. Early projects might include automating data extraction processes, setting up basic ETL (Extract, Transform, Load) workflows, or optimizing database queries. These foundational responsibilities help build the technical and teamwork skills essential for career growth in data engineering.

What are the key skills and qualifications needed to thrive as an Entry Level Data Engineer, and why are they important?

To thrive as an Entry Level Data Engineer, you need foundational knowledge in programming (such as Python or SQL), data structures, and database management, often supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms (like AWS or Azure), and version control systems is typically expected. Strong problem-solving skills, attention to detail, and effective communication help you collaborate with teams and adapt to evolving data needs. These skills ensure accurate data processing, efficient pipeline development, and successful integration within data-driven organizations.

What does a Data Engineer Entry Level do?

An entry-level data engineer is responsible for designing, building, and maintaining systems that allow organizations to collect, store, and analyze large amounts of data. They typically work with databases, data pipelines, and cloud platforms to ensure data is accessible and reliable for analysis. Entry-level data engineers often assist with cleaning and transforming raw data, automating data workflows, and supporting data scientists and analysts. They also learn best practices in data security and performance optimization as they gain experience.

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

AspectData Engineer Entry LevelData Analyst Entry Level
Required CredentialsBachelor's in CS, IT, or related field; some certifications (e.g., Google Cloud, AWS)Bachelor's in Statistics, Math, or related field; certifications like Microsoft Data Analyst
Work EnvironmentFocus on building data pipelines, databases, and infrastructureFocus on interpreting data, creating reports, and visualizations
Employer & Industry UsageTech companies, finance, healthcare, where data infrastructure is keyBusiness intelligence, marketing, finance, and consulting firms

While both roles involve working with data, Data Engineer Entry Level focuses on developing and maintaining data infrastructure, whereas Data Analyst Entry Level emphasizes analyzing data to generate insights. Both roles require strong technical skills and are essential in data-driven organizations.

What are the most commonly searched types of Data Engineer jobs in Nevada? The most popular types of Data Engineer jobs in Nevada are:
What are popular job titles related to Data Engineer Entry Level jobs in Nevada? For Data Engineer Entry Level jobs in Nevada, the most frequently searched job titles are:
What job categories do people searching Data Engineer Entry Level jobs in Nevada look for? The top searched job categories for Data Engineer Entry Level jobs in Nevada are:
What cities in Nevada are hiring for Data Engineer Entry Level jobs? Cities in Nevada with the most Data Engineer Entry Level job openings:
Data Engineer Entry Level jobs near you
Infographic showing various Data Engineer Entry Level job openings in Nevada as of June 2026, with employment types broken down into 88% Full Time, 8% Part Time, 2% Temporary, and 2% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $132,091 per year, or $63.5 per hour.
Entry Level Software Engineer

Entry Level Software Engineer

SynergisticIT

Las Vegas, NV

Other

Posted 5 days ago

Job description

SynergisticIT Job Opportunities

Since 2010 Synergisticit has helped jobseekers differentiate themselves by providing candidates the requisite skills and experience to outperform at interviews and clients. Here at SynergisticIT we just don't focus on getting you a job we make careers. All positions are open for all visas and US citizens. We at Synergisticit understand the problem of the mismatch between employer's requirements and employee skills and that's why since 2010 we have helped 1000's of candidates get jobs at technology clients like apple, google, Paypal, western union, client, visa, walmart lab s etc to name a few. We have an excellent reputation with the clients.

Currently, we are looking for entry-level software programmers, Java full stack developers, Python/Java developers, data analysts/data scientists, machine learning engineers for full time positions with clients. Who should apply? Recent computer science/engineering/mathematics/statistics or science graduates or people looking to switch careers or who have had gaps in employment and looking to make their careers in the tech industry.

We assist in filing for STEM extension and also for H1b and green card filing to candidates.

We regularly interact with the top tech companies to give our candidates a competitive advantage. Please see us exhibiting at Oracle Cloud World/Oracle Java One (Las Vegas) -2023/2022 and at Gartner Data Analytics Summit (Florida)-2023.

For preparing for interviews please visit.

We are looking for the right matching candidates for our clients. Please apply via the job posting.

Required skills for Java/full stack/software programmer:

  • Bachelors degree or Masters degree in computer science, computer engineering, electrical engineering, information systems, IT
  • Highly motivated, self-learner, and technically inquisitive
  • Experience in programming language Java and understanding of the software development life cycle
  • Project work on the skills
  • Knowledge of core Java, javascript, C++ or software programming
  • Spring boot, microservices, Docker, Jenkins and REST API's experience
  • Excellent written and verbal communication skills

Required skills for data science/machine learning positions:

  • Bachelors degree or Masters degree in computer science, computer engineering, electrical engineering, information systems, IT
  • Project work on the technologies needed
  • Highly motivated, self-learner, and technically inquisitive
  • Experience in programming language Java and understanding of the software development life cycle
  • Knowledge of statistics, SAS, Python, computer vision, data visualization tools
  • Excellent written and verbal communication skills

Preferred skills: NLP, text mining, Tableau, PowerBI, SAS, Tensorflow.

If you get emails from our job placement team and are not interested please email them or ask them to take you off their distribution list and make you unavailable as they share the same database with the client servicing team who only connect with candidates who are matching client requirements. No phone calls please. Shortlisted candidates would be reached out. No third party or agency candidates or c2c candidates.

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