1

Microsoft Azure Data Scientist Jobs (NOW HIRING)

Azure Data / Search Engineer

Irving, TX · On-site

$109K - $132K/yr

... managers, architects, data scientists, and engineering teams. Educational Qualifications ... Experience deploying applications on Microsoft Azure. Experience with CI/CD pipelines and automated ...

Azure Data / Search Engineer

Irving, TX · On-site

$109K - $132K/yr

Develop secure cloud-native applications on Microsoft Azure. Implement CI/CD pipelines and ... Collaborate with product managers, architects, data scientists, and engineering teams. Educational ...

Azure Data Architect

Boston, MA · On-site

$69 - $90/hr

In this role, you will be the Lead on designing, implementing, and managing data architecture and cloud-based solutions with Microsoft Azure. Primary responsibilities include: * Designing data ...

Azure DataLake Engineer [remote]

Houston, TX · On-site

$52.50 - $65.25/hr

... maintaining scalable data ingestion, storage, and processing solutions on Microsoft Azure ... Data Science and Machine Learning purposes Experience with Azure data, Machine Learning and ...

Azure Solution Architect - Data & AI

Manhattan, NY · On-site

$70 - $91.25/hr

Microsoft Fabric, Azure Synapse, Azure Databricks, Spark * Azure Data Factory, Azure Data Lake, Power BI * Azure AI / Azure OpenAI * Microsoft Purview & data governance * Python / PySpark * Data ...

Azure Data Engineer (Python & AI/ML)

Cincinnati, OH · On-site

$111K - $134K/yr

The role focuses on leveraging Microsoft Azure data services to build and optimize data platforms. Qualifications : Required : • 10+ years of experience in Data Engineering / Data Platforms • ...

Senior Data Scientist Senior Data Scientist Who are we? Versant Health is one of the nation ... Microsoft Fabric (Lakehouse, Data Warehouse, Real-Time Analytics, Notebooks) * Azure Synapse ...

Senior Azure Data Engineer

Atlanta, GA · On-site

$61 - $79.50/hr

Hands-on experience using Microsoft SQL Servers, Visual Studio, SQL Server Analysis Services (SSAS ... Master's or Bachelor's Degree with coursework focused on Data & Analytics, Data Science, Data ...

$40.50 - $50.25/hr

W2 or C2C (Vendors Not Permitted)Overview We are seeking an Azure Cloud Developer to design, develop, and maintain scalable cloud-based data solutions on Microsoft Azure. The ideal candidate will ...

Azure Cloud Developer (17638)

Saint Louis, MO · On-site

$52.25 - $64.75/hr

W2 or C2C (Vendors Not Permitted) Overview We are seeking an Azure Cloud Developer to design, develop, and maintain scalable cloud-based data solutions on Microsoft Azure. The ideal candidate will ...

Hiring for Azure Data Architect

$65 - $84.75/hr

The role involves designing modern cloud and hybrid solutions on Microsoft Azure, translating business requirements into secure and scalable Azure solutions, and delivering data strategy ...

Azure Data Architect

Washington, DC · On-site +1

$72.25 - $92.75/hr

Bachelor's degree in computer science, Data Science, Statistics, or related field. Clearance ... Hands on experience with Microsoft Dataverse for data storage and management. * Strong experience ...

Azure Cloud Developer (17638)

Saint Louis, MO · On-site

$52.25 - $64.75/hr

W2 or C2C (Vendors Not Permitted)Overview We are seeking an Azure Cloud Developer to design, develop, and maintain scalable cloud-based data solutions on Microsoft Azure. The ideal candidate will ...

Showing results 41-60

Microsoft Azure Data Scientist information

See salary details

$46K

$165K

$243.5K

How much do microsoft azure data scientist jobs pay per year?

As of Sep 11, 2026, the average yearly pay for microsoft azure data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What does a Microsoft Azure Data Scientist do?

A Microsoft Azure Data Scientist is responsible for designing, building, and deploying data-driven solutions using Microsoft Azure's cloud-based tools and services. They analyze large datasets, develop machine learning models, and collaborate with stakeholders to solve business problems. Their work often involves using Azure Machine Learning, Azure Databricks, and other Azure services to create scalable and efficient data solutions. In addition to technical skills, Azure Data Scientists also communicate insights and recommendations to both technical and non-technical audiences.

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

To thrive as a Microsoft Azure Data Scientist, you need strong skills in statistics, machine learning, data analysis, and proficiency with programming languages like Python or R, often supported by a degree in a quantitative field. Familiarity with Azure Machine Learning Studio, Azure Databricks, and certifications like Microsoft Certified: Azure Data Scientist Associate are highly valuable. Excellent problem-solving, communication, and collaboration skills help in translating complex data insights into actionable business strategies. These capabilities are essential for effectively building, deploying, and scaling data solutions that drive organizational success on the Azure platform.

How do Microsoft Azure Data Scientists typically collaborate with other teams within an organization?

Microsoft Azure Data Scientists frequently work alongside data engineers, software developers, and business analysts to deliver data-driven solutions. Collaboration often involves refining data pipelines, integrating machine learning models into production environments, and translating technical findings into actionable business insights. Effective communication and cross-functional teamwork are essential, as Azure Data Scientists help bridge the gap between advanced analytics and business objectives. This collaborative environment also fosters ongoing learning and exposure to a variety of cloud technologies and business domains.

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

AspectMicrosoft Azure Data ScientistMicrosoft Azure Data Engineer
Primary FocusDeveloping predictive models and machine learning solutionsBuilding and maintaining data pipelines and infrastructure
Skills & CertificationsData analysis, machine learning, Azure ML, Python/RData storage, ETL, Azure Data Factory, SQL, Spark
Work EnvironmentData analysis teams, research projects, model deploymentData infrastructure teams, data pipeline management
Common UsageCreating models for insights and predictionsEnsuring data flow and accessibility for analytics

The Microsoft Azure Data Scientist focuses on developing machine learning models and analyzing data to generate insights, while the Microsoft Azure Data Engineer specializes in designing and maintaining data pipelines and infrastructure. Both roles require Azure certifications and work closely within data teams, but their core responsibilities differ in scope and technical focus.

What are popular job titles related to Microsoft Azure Data Scientist jobs?

For Microsoft Azure Data Scientist jobs, the most frequently searched job titles are:

Infographic showing various Microsoft Azure Data Scientist job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Azure Data / Search Engineer

Irving, TX • On-site

$109K - $132K/yr

Contractor

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


Job description

Role:Azure Data / Search Engineer (Databricks / ElasticSearch / Python)

Experience: - Min8+ Years

Location: - Irving, TX (Hybrid – 3 days Work from Office)

Looking for a strong Azure Data Engineer / Senior Software Engineer with strong expertise in Python, Databricks, SQL, Elasticsearch, Kafka, and Azure, responsible for building scalable search platforms, REST APIs, event-driven data pipelines, and cloud-native distributed systems supporting high-volume enterprise applications.

Roles and Responsibilities: -

·       Resource will be responsible to design, build, and support client, our enterprise search and intelligent matching platform.

·       This role will develop scalable APIs, high-performance search capabilities, event-driven data pipelines, and cloud-native services supporting millions of transactions daily.

·       The consultant will work across Azure, Elasticsearch, Kafka, Databricks, Python, and distributed systems to build highly available, low-latency applications.

·       The ideal candidate has strong backend engineering experience with cloud-native architectures, search technologies, REST APIs, event streaming, and large-scale data processing.

·       Design and develop scalable backend services using Python. Build and maintain REST APIs supporting enterprise applications. Design and optimize Elasticsearch indexes, queries, mappings, and search relevance.

·       Develop intelligent search and matching capabilities for large-scale datasets. Build event-driven architectures using Kafka and Azure Event Hub. Design high-throughput data ingestion and indexing pipelines. Integrate applications with Databricks and enterprise data platforms.

·       Develop secure cloud-native applications on Microsoft Azure. Implement CI/CD pipelines and automated deployment processes.

·       Monitor application health, logging, observability, and production performance. Optimize API response time, indexing performance, and infrastructure utilization. Participate in architecture, design reviews, code reviews, and production support.

·       Collaborate with product managers, architects, data scientists, and engineering teams.

Educational Qualifications: -

Engineering Degree – BE/ME/BTech/MTech/BSc/MSc.

Technical certification in multiple technologies is desirable.

 

Skills: -

Mandatory skills

·       Programming Python (required) SQL REST APIs JSON FastAPI (preferred) Async Python Cloud Microsoft Azure Azure App Services Azure Linux VMs Azure Container Apps / AKS (preferred) Azure Managed Identity Azure Key Vault Azure Storage Azure Monitor Azure Event Hub Search

·       Technologies Elasticsearch Query DSL Relevance tuning Mapping design Aggregations Multi-search (msearch) Bulk indexing Search optimization Index lifecycle management Event Streaming Apache Kafka Confluent Cloud Producers / Consumers Kafka Connect Schema Registry

·       Event-driven architecture Data Engineering Databricks PySpark Delta Lake Data ingestion pipelines ETL/ELT DevOps Git Azure DevOps Azure Pipelines CI/CD Docker Infrastructure as Code (Terraform or Pulumi preferred) Databases PostgreSQL SQL Server Relational Databases Required

·       ExperienceMin 8+ years of software engineering experience. Strong Python backend development experience. Experience designing and operating production REST APIs.

·       Strong experience with Elasticsearch in production environments. Experience building scalable search platforms. Experience with Kafka or enterprise event-streaming platforms. Experience deploying applications on Microsoft Azure. Experience with CI/CD pipelines and automated deployments.

·       Experience troubleshooting production systems and performance issues. Strong understanding of distributed systems and microservices.

Preferred Qualifications:

·       Experience with AI-assisted search or intelligent matching platforms. Experience with Databricks and Delta Lake.

·       Experience with machine learning integration. Experience with semantic search or vector search.

·       Experience with Azure OpenAI or LLM integration. Healthcare or supply chain experience. Experience using GitHub Copilot or Codex.

 VeeRteq Solutions is an Equal Opportunity Employer