ZipRecruiter

Log In

1

Data Platform Engineer Jobs in Nevada (NOW HIRING)

Blue Heron Companies

Data & Software Engineer

Las Vegas, NV · On-site

$104K - $125K/yr

Data Platform Ownership * Design, build, operate, and maintain our Microsoft data platform: Fabric ... Software Engineering & Integrations * Integrate data across multiple systems using APIs, files ...

Blue Heron

Data & Software Engineer

Las Vegas, NV · On-site

$104K - $125K/yr

Data Platform Ownership * Design, build, operate, and maintain our Microsoft data platform: Fabric ... Software Engineering & Integrations * Integrate data across multiple systems using APIs, files ...

Blue Heron Companies

Data & Software Engineer

Las Vegas, NV

$104K - $125K/yr

Data Platform Ownership * Design, build, operate, and maintain our Microsoft data platform: Fabric ... Software Engineering & Integrations * Integrate data across multiple systems using APIs, files ...

Ridgeline

Software Engineer, Migrations Engineering

Reno, NV · On-site

$153K - $191K/yr

That's why we're investing heavily in platform engineering, data infrastructure, and migration tooling that can power the next generation of investment operations. The Opportunity We're looking for a ...

MGM Resorts International

Lead Data Engineer

Las Vegas, NV · On-site

$121K - $162K/yr

The Senior Data Engineer provides technical leadership in the architecture, development, and operational management of enterprise data platforms and integration services that enable data-driven ...

AMH

Senior Data Engineer

Las Vegas, NV · On-site

$101K - $137K/yr

The Senior Data Engineer is responsible for designing, building, and managing the data platform and tools for efficient processing and analysis of large data sets, while collaborating with business ...

Fusion HCR

Sr Data Engineer

Las Vegas, NV

$97K - $131K/yr

Senior Data Engineer Location: Las Vegas, NV Work Arrangement: 100% Onsite - 5 days per week ... Large-scale data initiatives (new source ingestion, platform expansion) * Real-time and streaming ...

Fusion HCR

Sr Data Engineer

Las Vegas, NV

$97K - $131K/yr

Senior Data Engineer Location: Las Vegas, NV Work Arrangement: 100% Onsite - 5 days per week ... Large-scale data initiatives (new source ingestion, platform expansion) * Real-time and streaming ...

Socure

Analytics Engineer

Carson City, NV · On-site

This role is intentionally scoped as an Analytics Engineer, not just a data or platform engineer because success requires: * Understanding analytics use cases, business metrics, and performance KPIs

American Homes 4 Rent

Senior Data Engineer

Las Vegas, NV · On-site

$121K - $151K/yr

The Senior Data Engineer is responsible for designing, building, and managing the data platform and tools to allow for the efficient processing and analysis of large data sets. Develops and maintains ...

Amh

Senior Data Engineer

Las Vegas, NV

$121K - $151K/yr

The Senior Data Engineer is responsible for designing, building, and managing the data platform and tools to allow for the efficient processing and analysis of large data sets. Develops and maintains ...

Wynn Resorts

Sr. Engineer - Data Analytics

Las Vegas, NV · On-site

$109K - $131K/yr

The Data Engineer will create and manage solutions which turn data into knowledge. Roles ... Strong knowledge of Snowflake, Databricks, Airflow, Kafka & Azure Data Platform * Hands-on ...

Wynn Resorts

Sr. Engineer - Data Analytics

Las Vegas, NV · On-site

$109K - $131K/yr

The Data Engineer will create and manage solutions which turn data into knowledge. Roles ... Strong knowledge of Snowflake, Databricks, Airflow, Kafka & Azure Data Platform * Hands-on ...

next page

Showing results 1-20

All JobsData Platform Engineer JobsData Platform Engineer Jobs in Nevada

Data Platform Engineer information

See Nevada salary details

$45.3K

$132.1K

$180.8K

How much do data platform engineer jobs pay per year?

As of Jun 28, 2026, the average yearly pay for data platform 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 are the key skills and qualifications needed to thrive in the Data Platform Engineer position, and why are they important?

To thrive as a Data Platform Engineer, you need a solid understanding of database architectures, data modeling, ETL processes, and programming languages such as SQL, Python, or Scala, often supported by a degree in computer science or a related field. Hands-on experience with cloud platforms (e.g., AWS, Azure, Google Cloud), big data tools (like Hadoop, Spark), and certifications like AWS Certified Data Analytics or Google Professional Data Engineer are highly valued. Strong problem-solving skills, effective communication, and an ability to work collaboratively within cross-functional teams distinguish top candidates. These skills ensure that data systems are reliable, scalable, and aligned with organizational goals, enabling informed decision-making and innovation.

What is a Data Platform Engineer job?

A Data Platform Engineer designs, builds, and maintains scalable data infrastructure to support analytics, machine learning, and business intelligence. They work with data pipelines, databases, and cloud technologies to ensure efficient data storage, processing, and retrieval. Their role involves optimizing performance, ensuring data security, and enabling reliable data access for engineers and analysts.

What are some typical challenges a Data Platform Engineer may encounter in their day-to-day work?

Data Platform Engineers often navigate challenges such as ensuring high data availability, optimizing system performance, and maintaining data security in evolving cloud or hybrid environments. They frequently address issues related to scaling infrastructure to handle growing data volumes, integrating legacy systems, and automating data pipelines. Collaboration with data scientists, analysts, and software engineers is essential to ensure data solutions meet business requirements. Adapting swiftly to new technologies and troubleshooting complex issues are key parts of the role, making it both dynamic and rewarding for those who enjoy problem-solving.

What are the most commonly searched types of Data Platform Engineer jobs in Nevada? The most popular types of Data Platform Engineer jobs in Nevada are:
What are popular job titles related to Data Platform Engineer jobs in Nevada? For Data Platform Engineer jobs in Nevada, the most frequently searched job titles are:
What job categories do people searching Data Platform Engineer jobs in Nevada look for? The top searched job categories for Data Platform Engineer jobs in Nevada are:
What cities in Nevada are hiring for Data Platform Engineer jobs? Cities in Nevada with the most Data Platform Engineer job openings:
Data Platform Engineer jobs near you
Infographic showing various Data Platform Engineer job openings in Nevada as of June 2026, with employment types broken down into 2% As Needed, 86% Full Time, 6% Part Time, and 6% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $132,091 per year, or $63.5 per hour.
Machine Learning Engineer- AI Data Platform (Reno, NV)

Machine Learning Engineer- AI Data Platform (Reno, NV)

MOBE, LLC

Reno, NV

$114K - $137K/yr

Full-time

Posted 22 days ago

Job description

Company Overview

MOBE helps people discover new ways to live healthier. We are the whole-person, cross-condition solution that goes further to deliver better health and lower overall costs through evidence-based individual health guidance and pharmacist-led medication management. We empower individuals to make meaningful changes that improve their health and overall well-being. Behind our innovative solutions are robust data analytics, digital application, and a uniquely human philosophy. With one-to-one connection and compassion, we uncover opportunities, overcome challenges, and motivate people to transform their lives.

At MOBE our team is our most significant asset. We cultivate a culture grounded in curiosity, innovation, and growth. We encourage new ideas, fresh solutions, and meaningful impact. We value a workforce made up of people with differences who are eager to learn from each other and grow personally and professionally. We extend this approach to our partners and communities, seeking to increase understanding and expand opportunities across all groups.

Your role at MOBE

We are seeking a highly skilled AI Engineer to serve as a core builder of our AI Data Platform. This role sits at the intersection of machine learning engineering, data platform development, and business intelligence, with responsibility for designing and operating the infrastructure that powers AI-driven insights across the organization.

You will build intelligent data pipelines, production-grade ML systems, and AI-enabled features that translate complex data into actionable outcomes. This role is ideal for an engineer who enjoys working end-to-end from data ingestion and feature engineering to model deployment and downstream consumption in analytics and BI tools.

**Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

Responsibilities:

  • Build AI-first data pipelines: Design, implement, and maintain scalable data pipelines that support model training, inference, and analytics use cases across the AI Data Platform.
  • Deploy production ML systems: Develop, deploy, and monitor machine learning models using AWS SageMaker, ensuring reliability, observability, and performance in production environments.
  • Implement Retrieval-Augmented Generation (RAG): Architect and maintain RAG-based systems that combine structured and unstructured data to power AI-driven insights and applications.
  • Operationalize ML lifecycle management: Use MLflow for experiment tracking, model versioning, and lifecycle management to support reproducibility and continuous improvement.
  • Design feature infrastructure: Build and manage feature stores (e.g., Feast, Tecton, or SageMaker Feature Store) to ensure consistent, reusable features across training and inference.
  • Orchestrate complex workflows: Create and manage Apache Airflow DAGs to orchestrate data transformations, model pipelines, and AI workflows with clear dependencies and monitoring.
  • Enable analytics consumption: Partner with BI and analytics teams to ensure ML outputs integrate cleanly with our internal BI reporting hub.
  • Translate business questions into AI solutions: Collaborate with stakeholders to convert ambiguous business problems into measurable ML- and data-driven solutions.
  • Uphold data quality and governance: Ensure AI pipelines and models adhere to data governance, security, and quality standards, particularly when handling sensitive data.
  • Collaborate cross-functionally: Work closely with Data Science, Analytics Engineering, Medical Economics, and DataOps to align AI platform capabilities with business priorities.

Apply