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Data Processing Jobs in Nevada (NOW HIRING)

Senior Data Engineer

Las Vegas, NV · On-site

$101.20K - $137.50K/yr

Responsibilities : • Develop and maintain data pipelines, ELT processes, and workflow orchestration using Apache Airflow, Python and PySpark to ensure the efficient and reliable delivery of data ...

Senior Data Engineer

Las Vegas, NV · On-site +1

$101.90K - $138.40K/yr

Identifying, designing, and implementing internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes

... processing, computer vision) and implement scalable AI solutions. • Collaborate with Enterprise, Application, Data & DevOps teams, Data scientists, Machine Learning & GenAI Engineers, and Business ...

... processing, computer vision) and implement scalable AI solutions. • Collaborate with Enterprise, Application, Data & DevOps teams, Data scientists, Machine Learning & GenAI Engineers, and Business ...

Provide Advisory & Assistance Services (A&AS) to the United Operational Test Team (UOTT) and the Air Dominance Division shaping and managing the end-to-end data infrastructure and analytic processes ...

Sr Data Engineer

Las Vegas, NV

$97K - $131.80K/yr

Develop Python- and Spark-based processes for cloud data ingestion, transformation, and loading * Lead large data initiatives such as: * Bringing new internal and external data sources into the data ...

Provide Advisory & Assistance Services (A&AS) to the United Operational Test Team (UOTT) and the Air Dominance Division shaping and managing the end-to-end data infrastructure and analytic processes ...

Sr Data Engineer

Las Vegas, NV

$97K - $131.80K/yr

Develop Python- and Spark-based processes for cloud data ingestion, transformation, and loading * Lead large data initiatives such as: * Bringing new internal and external data sources into the data ...

Provide Advisory & Assistance Services (A&AS) to the United Operational Test Team (UOTT) and the Air Dominance Division shaping and managing the end-to-end data infrastructure and analytic processes ...

AI and Data Science Engineer III

Las Vegas, NV · On-site +1

$109.40K - $131.30K/yr

AI and Data Science Engineer III Position Summary Our Deloitte Human Capital team transforms ... If you require a reasonable accommodation to participate in the recruiting process, please direct ...

AI Data Engineer Senior Consultant

Las Vegas, NV · On-site

$101.20K - $137.50K/yr

... document processing, embeddings, and vector or hybrid search in enterprise environments • 4+ years of experience in data engineering, including data modeling, batch or streaming pipelines ...

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Data Processing information

See Nevada salary details

$12

$20

$35

How much do data processing jobs pay per hour?

As of May 31, 2026, the average hourly pay for data processing in Nevada is $20.64, according to ZipRecruiter salary data. Most workers in this role earn between $16.39 and $22.79 per hour, depending on experience, location, and employer.

What is a Data Processing job?

A Data Processing job involves collecting, organizing, and managing data to ensure accuracy and accessibility. Professionals in this role use software tools to input, clean, analyze, and process data for businesses or organizations. They may also generate reports and automate workflows to streamline data handling. Strong attention to detail and proficiency in data management tools are essential for success in this field.

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

To thrive in Data Processing, you need strong analytical abilities, attention to detail, and proficiency with spreadsheets and database management, often supported by an associate's degree or relevant experience. Familiarity with tools like Microsoft Excel, SQL, or data entry software, as well as certifications such as Certified Data Processor (CDP), are frequently expected. Strong organizational skills, time management, and the ability to troubleshoot problems efficiently are valued soft skills. These competencies are crucial for ensuring data accuracy, meeting deadlines, and supporting smooth information operations within an organization.

What are the typical daily responsibilities of someone working in Data Processing?

A typical day for a Data Processing professional involves entering, validating, and updating records in databases or spreadsheets to ensure data integrity. You may also be responsible for generating reports, cleaning large data sets, and identifying discrepancies or errors for correction. Collaboration with team members or departments is common to clarify data requirements and resolve issues. Staying organized and attentive to detail is essential because the quality of processed data can impact decision-making across the organization.

What job makes $10,000 a month without a degree?

In data processing, high-paying roles such as data analysts or data engineers can earn around $10,000 per month, especially with specialized skills in programming, database management, and data analysis tools. These positions often require experience and proficiency in software like SQL, Python, or cloud platforms, but may not always require a formal degree if skills are demonstrated through certifications or a strong portfolio.
What are the most commonly searched types of Data Processing jobs in Nevada? The most popular types of Data Processing jobs in Nevada are:
What cities in Nevada are hiring for Data Processing jobs? Cities in Nevada with the most Data Processing job openings:
Infographic showing various Data Processing job openings in Nevada as of May 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, and 4% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $42,925 per year, or $20.6 per hour.

Senior Data Engineer

MDAEdge

Las Vegas, NV • On-site

$101.20K - $137.50K/yr

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Job Summary:
MDAEdge is a company focused on data engineering solutions, and they are seeking a Senior Data Engineer to develop and maintain data pipelines and workflow orchestration. The role involves designing custom connectors for data ingestion, implementing DataOps practices, and ensuring the accuracy and compliance of data through validation and testing.
Responsibilities:
• Develop and maintain data pipelines, ELT processes, and workflow orchestration using Apache Airflow, Python and PySpark to ensure the efficient and reliable delivery of data.
• Design and implement custom connectors to facilitate the ingestion of diverse data sources into our platform, including structured and unstructured data from various document formats.
• Collaborate closely with cross-functional teams to gather requirements, understand data needs, and translate them into technical solutions.
• Implement DataOps principles and best practices to ensure robust data operations and efficient data delivery.
• Design and implement data CI/CD pipelines to enable automated and efficient data integration, transformation, and deployment processes.
• Monitor and troubleshoot data pipelines, proactively identifying and resolving issues related to data ingestion, transformation, and loading.
• Conduct data validation and testing to ensure the accuracy, consistency, and compliance of data.
• Stay up-to-date with emerging technologies and best practices in data engineering.
• Document data workflows, processes, and technical specifications to facilitate knowledge sharing and ensure data governance.
Qualifications:
Required:
• Bachelors degree in computer science, Engineering, or a related field.
• 8 + year experience in data engineering, ELT development, and data modeling.
• 4-7 years of experience in Python.
• Proficiency in using Apache Airflow and Spark for data transformation, data integration, and data management.
• Experience implementing workflow orchestration using tools like Apache Airflow, SSIS or similar platforms.
• Demonstrated experience in developing custom connectors for data ingestion from various sources.
• Strong understanding of SQL and database concepts, with the ability to write efficient queries and optimize performance.
• Experience implementing DataOps principles and practices, including data CI/CD pipelines.
• Excellent problem-solving and troubleshooting skills, with a strong attention to detail.
• Effective communication and collaboration abilities, with a proven track record of working in cross-functional teams.
• Familiarity with data visualization tools Apache Superset and dashboard development.
• Understanding of distributed systems and working with large-scale datasets.
• Familiarity with data governance frameworks and practices.
• Knowledge of data streaming and real-time data processing technologies (e.g., Apache Kafka).
• Strong understanding of software development principles and practices, including version control (e.g., Git) and code review processes.
• Experience with Agile development methodologies and working in cross-functional Agile teams.
• Ability to adapt quickly to changing priorities and work effectively in a fast-paced environment.
• Excellent analytical and problem-solving skills, with a keen attention to detail.
• Strong written and verbal communication skills, with the ability to effectively communicate complex technical concepts to both technical and non-technical stakeholders.
Company:
The world doesn't have a talent shortage. It has a talent alignment problem. MDA Edge exists to fix that. Founded in , the company is headquartered in Sheridan, WY, US, , with a team of 51-200 employees. The company is currently Growth Stage.