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Azure Big Data Engineer Jobs in Nevada (NOW HIRING)

Data Governance- Manager

Las Vegas, NV · On-site

$99K - $232K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified Professional - Alation Certified Data ...

GenAI Python Systems Engineer -Senior Manager

Las Vegas, NV · On-site

$124K - $280K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Proficient in Python and structured/unstructured data ...

GenAI Python Systems Engineer - Senior Associate

Las Vegas, NV · On-site

$77K - $202K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Azure Solutions Architect Expert, Azure Data Engineer Associate,] is a plus - Skilled in programming languages like Python, Java, Scala - Proficient in SQL and relational databases - Experience with ...

Data Scientist

Las Vegas, NV · On-site

$70 - $130/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Plan and complete complex projects using statistical applications, big data analyses, and machine ... Stay updated on emerging data engineering technologies and trends, evaluating and implementing ...

Sr Systems Engineer - Azure

Las Vegas, NV · Hybrid

$120K - $150K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... AI and data lake initiatives. The right candidate is a well-rounded senior engineer who has ... Azure Infrastructure * Design, deploy, and maintain Azure subscription architecture including ...

Software Engineer Data Platform

Las Vegas, NV · On-site

$110K - $132K/yr

Software Engineer Data Platform Location : Las Vegas, NV (Onsite) Position Summary The Software ... Platform/Azure).Hands on experience using tools is strongly preferred * Knowledge of tools (or ...

Technical Program Manager

Las Vegas, NV · On-site

$123K - $159K/yr

Databricks & Data Engineering * Databricks (Spark, Delta Lake, Unity Catalog, Job clusters), performance tuning & cost governance. * ETL/ELT using Azure Data Factory / Synapse Pipelines / dbt ...

Manager, Data Engineering

Las Vegas, NV

$110K - $132K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

If you're ready to bring your talent to a team shaping the future of entertainment, your next big ... Own the planning and delivery of data engineering initiatives across assigned business domains ...

Manager, Data Engineering

Las Vegas, NV

$110K - $132K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

If you're ready to bring your talent to a team shaping the future of entertainment, your next big ... Own the planning and delivery of data engineering initiatives across assigned business domains ...

Showing results 21-40

Azure Big Data Engineer information

What does an Azure Big data engineer do?

An Azure Big Data Engineer is responsible for designing, building, and managing big data solutions using Microsoft Azure cloud technologies. They focus on processing large volumes of data, creating data pipelines, and ensuring data is stored and analyzed efficiently. Their work often involves tools such as Azure Data Lake, Azure Databricks, Azure Synapse Analytics, and Azure Data Factory. Azure Big Data Engineers collaborate with data scientists, analysts, and other IT professionals to enable data-driven decision-making within organizations.

What are the key skills and qualifications needed to thrive as an Azure Big data engineer?

To thrive as an Azure Big Data Engineer, you need expertise in data engineering, cloud computing, and programming languages such as Python or Scala, typically supported by a degree in computer science or a related field. Familiarity with Azure Data Services (like Azure Data Lake, Azure Synapse Analytics, and Azure Databricks), as well as certifications like Microsoft Certified: Azure Data Engineer Associate, is highly valuable. Strong analytical thinking, problem-solving, and communication skills help you collaborate effectively with cross-functional teams and translate business needs into technical solutions. These skills and qualities are essential for building scalable, reliable data pipelines that drive business insights and innovation in cloud environments.

What are some common challenges Azure big data engineers face when integrating multiple data sources?

Azure Big Data Engineers often encounter challenges such as ensuring data consistency and quality when integrating disparate data sources like on-premises databases, cloud storage, and third-party APIs. Handling varying data formats and latency issues can also complicate data pipelines. To overcome these challenges, engineers typically use Azure Data Factory for orchestration, implement robust data validation, and collaborate closely with data architects and business analysts to align on integration requirements.

What are popular job titles related to Azure Big Data Engineer jobs in Nevada?

For Azure Big Data Engineer jobs in Nevada, the most frequently searched job titles are:

What job categories do people searching Azure Big Data Engineer jobs in Nevada look for?

The top searched job categories for Azure Big Data Engineer jobs in Nevada are:

Lead Data Engineer - Delivery Lead

Purple Drive Technologies LLC

Las Vegas, NV • On-site

Other

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


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.