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Non Exempt Databricks Data Engineer Jobs in Nevada

Senior Data Engineer

Las Vegas, NV · On-site

$101K - $137K/yr

MDAEdge is a company focused on data engineering solutions, and they are seeking a Senior Data ... non-technical stakeholders. Company : The world doesn't have a talent shortage. It has a talent ...

... Databricks Certified Data Engineer / Data Analyst / ML - Proven leadership in data-driven strategies - Experience in defining data governance frameworks - Understanding of modern cloud data ...

... Databricks Certified Data Engineer / Data Analyst / ML Travel Requirements Up to 80% Job Posting End Date The salary range for this position is: $99,000 - $232,000. Actual compensation within the ...

Process Focused Operator (data driven decision-maker; detailed; organized and structured; comprehensive knowledge of all operational processes; computer proficient) * Financial Acumen (understands ...

Showing results 21-40

Non Exempt Databricks Data Engineer information

What is the difference between Non Exempt Databricks Data Engineer vs Non Exempt Data Analyst?

AspectNon Exempt Databricks Data EngineerNon Exempt Data Analyst
CertificationsDatabricks certifications, SQL, cloud platform skillsExcel, SQL, data visualization tools
Work EnvironmentCloud-based data platforms, big data environmentsBusiness intelligence tools, spreadsheets, reports
Employer & IndustryTech, finance, healthcare using big data solutionsMarketing, retail, finance analyzing data trends

Non Exempt Databricks Data Engineers focus on building and maintaining data pipelines using Databricks and cloud platforms, often working with big data. Non Exempt Data Analysts interpret data to generate reports and insights. While both roles require SQL skills, Data Engineers need cloud and big data expertise, whereas Data Analysts focus on data visualization and reporting.

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Cities in Nevada with the most Non Exempt Databricks Data Engineer job openings:

Lead Data Engineer - Delivery Lead

Purple Drive

Las Vegas, NV

Contractor

Posted 26 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.