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Associate Data Engineer Jobs in Nevada (NOW HIRING)

Data Center Technicians should be willing to work both independently and with a team. Work ... Associate's degree in a relevant field (e.g., Computer Science, Networking Engineering), or ...

The Sr Associate MM Data Specialist will be responsible for creating and maintaining different ... Become familiar with pulling data for operations, procurement, and engineering for parts ...

The Sr Associate MM Data Specialist will be responsible for creating and maintaining different ... Become familiar with pulling data for operations, procurement, and engineering for parts ...

The Sr Associate MM Data Specialist will be responsible for creating and maintaining different ... Become familiar with pulling data for operations, procurement, and engineering for parts ...

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Associate Data Engineer information

See Nevada salary details

$10

$19

$31

How much do associate data engineer jobs pay per hour?

As of Jul 2, 2026, the average hourly pay for associate data engineer in Nevada is $19.08, according to ZipRecruiter salary data. Most workers in this role earn between $15.67 and $20.34 per hour, depending on experience, location, and employer.

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

To thrive as an Associate Data Engineer, you need a solid understanding of data modeling, SQL, Python, and foundational knowledge of database concepts, often backed by a degree in computer science or a related field. Familiarity with data warehousing tools (like AWS Redshift, Google BigQuery), ETL frameworks, and cloud platforms as well as industry certifications such as AWS Certified Data Analytics is beneficial. Strong problem-solving skills, attention to detail, and effective communication help you navigate complex data challenges and collaborate with teams. These abilities are crucial for ensuring data systems are reliable, scalable, and aligned with organizational goals.

What is the difference between Associate Data Engineer vs Data Engineer?

AspectAssociate Data EngineerData Engineer
Required CredentialsBachelor's degree in CS, Data Science, or related field; basic knowledge of SQL and PythonBachelor's or Master's degree; advanced knowledge of SQL, Python, Spark, and cloud platforms
Work EnvironmentEntry-level, team-focused, often in tech or finance industriesMid to senior level, designing and maintaining data pipelines in various industries
Employer & Industry UsageCommon in tech companies, startups, and finance firmsUsed across industries for building scalable data infrastructure
Common Search & ComparisonOften compared for career progression and skill requirements

The Associate Data Engineer role is an entry-level position focusing on supporting data infrastructure, while the Data Engineer is a more advanced role responsible for designing and maintaining complex data systems. The roles share similar educational backgrounds and work environments but differ in experience level and responsibilities.

What does an Associate Data Engineer do?

An Associate Data Engineer is responsible for supporting the development, maintenance, and optimization of data pipelines and databases. They work closely with senior data engineers and other IT professionals to ensure data is accessible, reliable, and efficiently processed for analytics and business use. Typical tasks include writing and testing code for data integration, troubleshooting data issues, and implementing data security best practices. This entry-level position is a foundational role that builds technical skills and experience in data engineering.

What are some common challenges an Associate Data Engineer may face when working with large-scale data pipelines?

As an Associate Data Engineer, you may often encounter challenges such as optimizing data pipeline performance, ensuring data quality, and troubleshooting bottlenecks when processing large volumes of data. Working with distributed systems can introduce complex issues like latency and data consistency. Collaborating effectively with data scientists, analysts, and senior engineers is crucial for aligning data infrastructure with evolving project requirements. Regularly learning new tools and best practices will help you adapt to these challenges and grow in your role.
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 Associate Data Engineer jobs in Nevada? For Associate Data Engineer jobs in Nevada, the most frequently searched job titles are:
CDB AI & Analytics - Development - Technical Lead - MDV118

CDB AI & Analytics - Development - Technical Lead - MDV118

Avani Technology Solutions, Inc.

Las Vegas, NV • On-site

Contractor

Posted 29 days ago


Job description

Azure Databricks SR DEVELOPER
Job summary
Primary skill as Azure Databricks, Azure Datafactory.
Required Experience:
• Data Engineering/Data Warehousing development/operations experience of at least 12 years
• Design and develop Azure cloud-native enterprise data solution with emphasis on data integration, transformation and governance
• Build solution designs and technical designs for data pipelines based on requirements
• Design plug-n-play components that can be orchestrated into data flows
Experience 10to12yrs
Required Skills
Technical Skills- Databricks
Domain Skills-
Nice to have skills
Technical Skills- Azure Data Factory, Azure Databricks
Technology - Microsoft Cortana Analytics
Shift Day 9 AM TO 6 PM PST
Roles & Responsibilities Required Experience:
• Data Engineering/Data Warehousing development/operations experience of at least 12 years
• Design and develop Azure cloud-native enterprise data solution with emphasis on data integration, transformation and governance
• Build solution designs and technical designs for data pipelines based on requirements
• Design plug-n-play components that can be orchestrated into data flows, data ingestion patterns based on source systems and data formats, data quality frameworks etc.
• Identify opportunities to enhance, streamline, improve existing codebase for automation, performance, scalability, reliability, operational efficiency
• Help prioritize data pipeline development backlog and create implementation roadmaps
• Lead team of data engineers to design and develop new features and enhance existing data pipelines, provide QA, UAT and Implementation Support.
Preferred Experience:
• ADF source code version control using Azure DevOps or Git
• Experience with Snowflake • Collaboration with business teams
• Experience in fast paced & complex environments, including large enterprise settings
Job Location Primary: Las Vegas NV
Job Type 50CW00 Business Associate
Demand Requires Travel? N
Certification(s) Required NA
Additional Sills: Skills:
Category
Name
Required
Importance
Experience
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