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Contract Microsoft Azure Data Engineer Jobs in Nevada

Senior Data Engineer

Las Vegas, NV · On-site

$121K - $151K/yr

Minimum of eight (8) years of experience as a data engineer with full-stack capabilities * Minimum ... Intermediate experience in RESTful APIs, messaging systems, and AWS or Microsoft Azure. * Extensive ...

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 ... Intermediate experience in RESTful APIs, messaging systems, and AWS or Microsoft Azure. * Extensive ...

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 ... Intermediate experience in RESTful APIs, messaging systems, and AWS or Microsoft Azure. * Extensive ...

... Microsoft Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Architect, Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data ...

... Microsoft Certified: Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Proficient in Python and SQL ...

Data Strategy-Manager

Las Vegas, NV · On-site

$99K - $232K/yr

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

... AI and data lake initiatives. The right candidate is a well-rounded senior engineer who has operated in a regulated environment, brings genuine depth in both Azure infrastructure and Microsoft ...

Data Governance- Manager

Las Vegas, NV · On-site

$99K - $232K/yr

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

Data Engineer II

Las Vegas, NV

$109K - $131K/yr

Azure/GCP acceptable). * Experience with data integration frameworks and orchestration tools ... Partner with stakeholders to translate requirements into well-defined datasets and data contracts.

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Contract Microsoft Azure Data Engineer information

What is a Contract Microsoft Azure Data Engineer?

Contract Microsoft Azure Data Engineers are professionals hired on a temporary or project basis to design, build, and manage data solutions using Microsoft Azure cloud services. They are responsible for developing data pipelines, integrating data from multiple sources, and ensuring data is stored securely and efficiently in the cloud. These engineers typically work with technologies like Azure Data Factory, Azure SQL Database, and Azure Databricks to support analytics and business intelligence needs. Their contract status means they may work for specific projects or short-term engagements rather than as permanent employees.

What are the key skills and qualifications needed to thrive as a Contract Microsoft Azure Data Engineer, and why are they important?

To thrive as a Contract Microsoft Azure Data Engineer, you need expertise in data modeling, ETL processes, SQL, and proficiency with Azure data services, typically supported by a degree in computer science or a related field. Familiarity with tools such as Azure Data Factory, Azure Synapse Analytics, Databricks, and relevant Azure certifications (like Azure Data Engineer Associate) are highly valued. Strong problem-solving, communication, and adaptability are essential soft skills for collaborating with stakeholders and addressing evolving project requirements. These skills ensure efficient data solutions, seamless cloud integration, and successful project delivery in dynamic enterprise environments.

What are some common challenges faced by Contract Microsoft Azure Data Engineers when joining new projects?

Contract Microsoft Azure Data Engineers often encounter challenges such as quickly understanding existing data architectures, adapting to varying data governance standards, and integrating with diverse client teams. Since contract roles are typically project-based, engineers must rapidly familiarize themselves with the organization’s Azure environment, security protocols, and workflow tools. Strong communication and a proactive approach to documentation help streamline collaboration with permanent team members, ensuring smooth project delivery despite tight timelines.

What is the difference between Contract Microsoft Azure Data Engineer vs Contract Data Engineer?

AspectContract Microsoft Azure Data EngineerContract Data Engineer
CertificationsAzure Data Engineer Associate, Azure certificationsGenerally no specific cloud certifications required
Work EnvironmentCloud-based, Azure platform-focusedOn-premises or cloud, various platforms
Industry UsageOrganizations using Microsoft AzureOrganizations using diverse data platforms
Job FocusDesigning, building, and maintaining Azure data solutionsDeveloping data pipelines and managing data workflows

The Contract Microsoft Azure Data Engineer primarily focuses on designing and implementing data solutions within the Azure cloud platform, often requiring specific Azure certifications. In contrast, a Contract Data Engineer may work across various environments, including on-premises or different cloud providers, with a broader scope of tools and platforms. The Azure Data Engineer role is ideal for those specializing in Microsoft Azure, while the Data Engineer role offers more flexibility across data environments.

What are the most commonly searched types of Microsoft Azure Data Engineer jobs in Nevada?

The most popular types of Microsoft Azure Data Engineer jobs in Nevada are:

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

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

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

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

What cities in Nevada are hiring for Contract Microsoft Azure Data Engineer jobs?

Cities in Nevada with the most Contract Microsoft Azure Data Engineer job openings:

Lead Data Engineer - Delivery Lead

Las Vegas, NV • On-site

Themesoft Inc
IT Services • 11 - 50 employees

$140 - $190/hr

Other

Re-posted yesterday


Job description

Lead Data Engineer - Delivery Lead(485388)

On-site in Las Vegas Nevada.

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.
  • Onshore/Offshore Coordination — Manage Capgemini 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.
    • 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 Capgemini 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.

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