ZipRecruiter

Log In

1

Data Platform Engineer Jobs in Nevada (NOW HIRING)

Kemper

SVP, Chief Technology Officer (CTO)

Las Vegas, NV · On-site +1

Cloud & Platform Engineering * Enterprise Data Engineering * Artificial Intelligence & Intelligent Automation * Enterprise Architecture & Technology Innovation The CTO is accountable for building and ...

Flyover

Business Intelligence Developer

Las Vegas, NV · On-site

About the role The Business Intelligence Developer owns our data platform end to end, from POS source system ingestion through Microsoft Fabric to the Power BI dashboards our teams use every day.

FocusKPI

Marketing Operations Analyst

Henderson, NV · On-site

Data Integration: Collaborate with cross-functional teams such as IT and engineering to integrate data from various sources into the customer data platform (CDP) for comprehensive analysis.

FocusKPI

Data Integration: Collaborate with cross-functional teams such as IT and engineering to integrate data from various sources into the customer data platform (CDP) for comprehensive analysis.

FocusKPI

Data Integration: Collaborate with cross-functional teams such as IT and engineering to integrate data from various sources into the customer data platform (CDP) for comprehensive analysis.

previous page

Showing results 41-60

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 Aug 10, 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?

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 August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $132,091 per year, or $63.5 per hour.

Lead Data Engineer - Delivery Lead

Purple Drive Technologies LLC

Las Vegas, NV • On-site

Other

Posted 14 days ago

Job description

About the job you're considering


The Delivery Lead will oversee the end-to-end delivery of a Teradata-to-Azure/Databricks migration powering client's next-generation curated analytics platform as well as coordinate delivery across other data-related initiatives. This role sits onsite in Las Vegas and requires strong leadership across gaming, hospitality, F&B, entertainment, digital, and enterprise analytics domains. The Delivery Lead will coordinate client delivery teams, client's business stakeholders, and technology partners to modernize the data ecosystem supporting, but not limited to, guest personalization, resort operations, gaming analytics, revenue optimization, and enterprise decisioning.

This is a high-visibility professional-services leadership role responsible for predictable delivery, stakeholder alignment, and ensuring client realizes measurable value from its cloud analytics transformation.

Your role
Delivery Leadership & Governance


Program Delivery Oversight - Lead multi-wave migration of Teradata workloads across gaming, loyalty, property operations, digital, F&B, entertainment, and enterprise analytics domains, along with other migration activities into EDH 2.0.
Governance & Reporting - Establish disciplined delivery governance aligned to client's PMO, including RAID management, executive status reporting, dependency tracking, and operational readiness checkpoints.
Stakeholder Management - Serve as a primary onsite interface for business and technology stakeholders, translating delivery progress, risks, and decisions into business-relevant language.
Risk & Issue Management - Proactively manage risks tied to high-traffic resort periods, major entertainment weekends, operational dependencies, data quality, platform readiness, and downstream analytics adoption.
Technical Program Leadership
EDH 2.0 Migration Strategy - Oversee migration planning and execution for enterprise data warehouse workloads, including Teradata tables, views, SQL logic, stored procedures, ETL/ELT dependencies, and analytics consumption patterns.
Azure Data Architecture - Guide delivery alignment to target-state Azure data architecture, including Azure Data Lake Storage, curated data zones, secure data-sharing patterns, and business-ready consumption layers.
Databricks Delivery - Ensure Azure Databricks pipelines, Delta Lake patterns, and medallion-oriented engineering practices support scalable analytics, reporting, personalization, forecasting, and enterprise decisioning use cases.
Data Analysis & Quality - Drive data profiling, reconciliation, validation, and KPI alignment across source and target platforms to support business confidence and production readiness.


Team, Financial & Partner Management


Onshore/Offshore Coordination - Manage client i delivery teams across architecture, data engineering, data analysis, QA, lineage, data modeling, and release coordination.
Resource Planning - Align capacity, skill mix, and work allocation to migration waves, delivery priorities, and business-domain sequencing.
Financial Governance - Support forecasting, burn tracking, scope management, and commercial discipline for a professional-services engagement.
Vendor & Partner Coordination - Coordinate effectively with Microsoft Azure, Databricks, client's technology partners, and other delivery stakeholders to remove blockers and maintain execution momentum.
Skills and experience
Teradata Modernization - High preference for leading or managing large Teradata modernization, migration, or decommissioning programs in complex enterprise environments.
Azure Data Platform - Strong working knowledge of Microsoft Azure data services, including Azure Data Lake Storage, secure cloud data patterns, orchestration, and enterprise-scale cloud migration practices.
Azure Databricks - Practical understanding of Azure Databricks, Spark-based engineering, Delta Lake, medallion architecture, and scalable data pipeline delivery.
SQL & Data Analysis - Strong SQL fluency and ability to guide teams through data profiling, mapping, reconciliation, transformation logic review, and issue resolution.
Data Architecture - Experience aligning migration delivery to target-state data architecture, curated analytics layers, semantic consumption patterns, governance expectations, and operational controls.
Complex Program Management - Experience leading large, multi-workstream delivery programs with onshore/offshore teams and multiple business and technology stakeholders.
Executive Communication - Skilled at presenting complex data and technology topics in clear, business-friendly language for senior client stakeholders.
Delivery Discipline - Strong ability to manage milestones, dependencies, risks, issues, scope, quality, release readiness, and operational transition.
Consulting Mindset - Ability to operate as a trusted professional-services leader focused on measurable outcomes, not solely staff augmentation or activity-based execution.
Domain Adaptability - Ability to quickly understand client's operating context across gaming, hospitality, F&B, entertainment, digital, and enterprise analytics domains.

Apply