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Azure Big Data Engineer Jobs in Nevada (NOW HIRING)

Socure

Analytics Engineer

Carson City, NV · On-site

$125K/yr

The mission is big, the problems are complex, and the impact is felt by businesses, governments ... You will collaborate closely with Data Engineering, who manage the source-to-mesh pipelines, and ...

Lhoist Group

Automation Engineer

North Las Vegas, NV · On-site

The Automation Engineer troubleshoots and solves on site instrumentation, process control and ... Augmented Reality, Big Data Integration / Historian Systems and IIoT (Industry 4.0). Physical ...

Lhoist Group

Automation Engineer

North Las Vegas, NV · On-site

The Automation Engineer troubleshoots and solves on site instrumentation, process control and ... Augmented Reality, Big Data Integration / Historian Systems and IIoT (Industry 4.0). Physical ...

Amazon

Business Analyst III - AMZ9898510

Las Vegas, NV · On-site

$118K - $160K/yr

... data mining and big data analysis to drive business-critical decisions. Partner with multiple ... Master's degree or foreign equivalent in Business Administration, Computer Science, Engineering ...

CreditOne

Lead Artificial Intelligence Engineer

Las Vegas, NV · On-site

$99K - $130K/yr

... Azure ML, AWS Sagemaker, or Google Vertex AI * Kubernetes, containerization, microservices * Data ... Programming & Tooling * Python, PyTorch, TensorFlow, JAX * LangChain, semantic search, vector ...

AGS

VP of Data & Analytics

Las Vegas, NV · On-site

Microsoft Fabric / Azure Data Stack expertise preferred - familiarity with OneLake, Azure Data Factory, Azure Synapse, and Power BI * Strong data engineering foundations - deep enough technical ...

Pwc

AI Engineer

Las Vegas, NV · On-site

$50K - $112K/yr

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials - Building ...

Panasonic

Forward Deployed Data X Manager

Sparks, NV · On-site

Engineering degree in Computer Science * AWS, Azure, Palantir, AI certification/s * Prior experience in Data Science * Prior experience in Manufacturing, Industrial or Software Solutions Essential ...

Panasonic

Forward Deployed Data X Manager

Sparks, NV · On-site

Engineering degree in Computer Science * AWS, Azure, Palantir, AI certification/s * Prior experience in Data Science * Prior experience in Manufacturing, Industrial or Software Solutions Essential ...

PlayAGS, Inc.

VP of Data & Analytics

Las Vegas, NV · On-site

$260 - $320/hr

Microsoft Fabric / Azure Data Stack expertise preferred -- familiarity with OneLake, AzureData Factory, Azure Synapse, and Power BI * Strong data engineering foundations -- deep enough technical ...

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Showing results 41-60

All JobsAzure Big Data Engineer JobsAzure Big Data Engineer Jobs in Nevada

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.

How much do Azure Big Data Engineers make?

Azure Big Data Engineers typically earn between $90,000 and $150,000 annually, depending on experience, location, and certifications such as Azure Data Engineer Associate. Salaries tend to be higher in regions with a strong tech industry and for professionals with advanced skills in cloud services and data processing tools.

Is Azure Big Data Engineer in demand?

Azure Big Data Engineers are in high demand due to the increasing adoption of cloud-based data solutions and the need for expertise in tools like Azure Data Lake, Synapse Analytics, and Spark. Organizations seek professionals skilled in data pipeline development, cloud architecture, and big data processing to support analytics and AI initiatives.

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:

Azure Big Data Engineer jobs near you

Lead Artificial Intelligence Engineer

Credit One Bank

Las Vegas, NV • On-site

$97K - $128K/yr

Full-time

Re-posted 22 days ago

Job description

Job Summary:
Credit One Bank is a data-driven financial services company based in Las Vegas. They are seeking a Lead Artificial Intelligence Engineer to develop and produce AI and machine learning solutions that support banking and credit card businesses, focusing on building scalable, explainable, and compliant AI models for various applications.
Responsibilities:
• Develop, train, and optimize ML, deep learning, and Generative AI models.
• Implement data pipelines, feature engineering, and model inference services.
• Deploy and monitor models using enterprise MLOps practices.
• Support model explainability, bias analysis, and regulatory documentation.
• Collaborate with data engineers, risk, and compliance teams.
Qualifications:
Required:
• Develop, train, and optimize ML, deep learning, and Generative AI models.
• Implement data pipelines, feature engineering, and model inference services.
• Deploy and monitor models using enterprise MLOps practices.
• Support model explainability, bias analysis, and regulatory documentation.
• Collaborate with data engineers, risk, and compliance teams.
• Machine Learning & Modeling: Supervised, unsupervised, reinforcement learning.
• Deep learning (CNNs, RNNs, Transformers).
• Natural Language Processing (NLP) & LLMs.
• Generative AI (diffusion models, fine-tuning, RAG).
• AI Engineering & MLOps: Model training, deployment, monitoring, and retraining.
• Feature stores, vector databases, and model registries.
• CI/CD pipelines for ML (MLOps).
• GPU/accelerator compute architectures.
• Cloud & Infrastructure: Azure AI, Azure ML, AWS Sagemaker, or Google Vertex AI.
• Kubernetes, containerization, microservices.
• Data platforms (Databricks, Snowflake, Synapse).
• Responsible AI & Governance: Model explainability (SHAP, LIME).
• Fairness, bias detection, model risk controls.
• Privacy-preserving ML techniques (differential privacy, federated learning).
• Programming & Tooling: Python, PyTorch, TensorFlow, JAX.
• LangChain, semantic search, vector embeddings.
• Prompt engineering & LLM orchestration frameworks.
Preferred:
• Bachelor’s degree in Computer Science, Engineering, Data Science, or related field.
• 3–7 years of experience in AI/ML or data science.
• Experience working with large-scale financial or transactional data is preferred.
Company:
Credit One Bank is a financial services company that offers credit cards, credit score tracking, and fraud protection services. Founded in 1984, the company is headquartered in Las Vegas, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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