ZipRecruiter

Log In

1

Azure Blob Storage Jobs (NOW HIRING)

CEDENT

Azure Databricks Engineer (Dallas, TX)

Dallas, TX · On-site

$54.50 - $67.50/hr

Architect and implement end-to-end analytics solutions leveraging Databricks and other Azure services (e.g., Azure Data Lake, Azure SQL, Azure Blob Storage). Lead the design of cloud-based ...

United Software Group

Azure Cloud Solution Architect

$65 - $84.75/hr

Experience with Azure Blob Storage (file ingestion, lifecycle management, secure access) * Experience with Azure SQL Database * Strong understanding of Azure security best practices (Managed Identity ...

Omni Inclusive

Azure Data Factory

Mclean, VA · On-site

$56.50 - $70/hr

Job Title Mandatory required skills - Azure Data Factory, Logic App, Functions, Azure SQL DB, Blob Storage * Experience working with Azure Services like Azure Data Factory, Logic App, Functions ...

United Software Group

Azure Cloud Solution Architect

Denver, CO · On-site

$65.25 - $85.25/hr

Experience with Azure Blob Storage (file ingestion, lifecycle management, secure access) * Experience with Azure SQL Database * Strong understanding of Azure security best practices (Managed Identity ...

ClifyX

ReactJS with Azure developer

Chicago, IL · On-site

$56.75 - $70.25/hr

Integrating Airflow with Azure Blob Storage, Data Lake, or SQL DB. * Using KubernetesExecutor for dynamic scaling ([example Airflow + PySpark on K8s]3). * 4. Spark with Kubernetes * Running PySpark ...

next page

Showing results 1-20

All JobsAzure Blob Storage Jobs

Azure Blob Storage information

See salary details

$11

$58

$79

How much do azure blob storage jobs pay per hour?

As of Jul 6, 2026, the average hourly pay for azure blob storage in the United States is $58.40, according to ZipRecruiter salary data. Most workers in this role earn between $52.88 and $65.62 per hour, depending on experience, location, and employer.

What are some common challenges faced by professionals managing Azure Blob Storage, and how can they be addressed?

Professionals managing Azure Blob Storage often encounter challenges such as optimizing storage costs, ensuring data security, and managing data lifecycle policies. Balancing access performance with cost efficiency requires careful selection of storage tiers and regular monitoring of usage patterns. Implementing robust access control, encryption, and compliance measures is essential for data protection. Regularly updating lifecycle management rules helps automate data retention and deletion, reducing manual effort and potential for errors. Collaborating with IT security and compliance teams ensures best practices are maintained.

What is the difference between Azure Blob Storage vs Data Engineer?

AspectAzure Blob StorageData Engineer
Primary RoleCloud storage service for unstructured dataDesigning, building, and maintaining data pipelines and systems
Required SkillsCloud concepts, storage management, basic scriptingSQL, ETL, data modeling, programming languages
Work EnvironmentCloud platforms, data centers, cloud-based toolsData warehouses, cloud platforms, big data tools
CertificationsAzure certifications (e.g., AZ-204, AZ-104)Data engineering certifications (e.g., Google Cloud Data Engineer, Microsoft DP-203)

Azure Blob Storage is a cloud storage service for unstructured data, while a Data Engineer designs and manages data pipelines and systems. Although their skills overlap in cloud and data concepts, their roles focus on different aspects of data management and infrastructure.

What are the key skills and qualifications needed to thrive as an Azure Blob Storage Specialist, and why are they important?

To thrive as an Azure Blob Storage Specialist, you need expertise in cloud storage concepts, Azure architecture, and data management, typically supported by experience or certification in Microsoft Azure. Familiarity with tools like Azure Portal, Azure CLI, PowerShell, and relevant certifications such as Microsoft Certified: Azure Administrator Associate are commonly required. Strong problem-solving, attention to detail, and effective communication skills help specialists address client needs and collaborate with teams. These competencies are essential for ensuring secure, scalable, and efficient data storage solutions in cloud environments.

What is Azure blob storage used for?

Azure Blob Storage is used for storing large amounts of unstructured data such as documents, images, videos, and backups. It is commonly utilized by IT professionals and developers to build scalable, secure cloud applications and data solutions, often requiring knowledge of cloud environments and storage management. Blob storage supports various access tiers and integrates with other Azure services for data processing and analysis.

How do I get to Azure blob storage?

Azure Blob Storage is accessed through the Azure portal, Azure Storage Explorer, or programmatically via APIs and SDKs. Job roles involving Azure Blob Storage often require familiarity with cloud management tools, command-line interfaces, and security practices. Accessing and managing Blob Storage typically involves setting permissions and using connection strings or shared access signatures.

Is Azure a high paying job?

Azure-related roles, such as Azure Cloud Engineer or Azure Administrator, are generally considered well-paying within the IT industry due to the demand for cloud skills. Salaries depend on experience, certifications, and location, but these positions often offer competitive compensation compared to other IT roles.

What is Azure Blob Storage?

Azure Blob Storage is a cloud-based storage solution provided by Microsoft Azure that allows you to store and manage large amounts of unstructured data, such as documents, images, videos, and backups. It is highly scalable, secure, and designed for high availability, making it ideal for serving files to applications, backup and restore, and data archiving. Azure Blob Storage supports different tiers for cost optimization and provides features like lifecycle management, access control, and integration with other Azure services.

What are the 4 types of storage in Azure?

Azure Blob Storage offers four main types: Block Blobs for storing large amounts of unstructured data, Append Blobs optimized for append operations, Page Blobs used for random read/write operations like virtual hard disks, and Archive Blobs designed for long-term, cost-effective storage of rarely accessed data. Understanding these types helps cloud professionals optimize storage solutions based on data access patterns and performance needs.
More about Azure Blob Storage jobs
What cities are hiring for Azure Blob Storage jobs? Cities with the most Azure Blob Storage job openings:
What states have the most Azure Blob Storage jobs? States with the most job openings for Azure Blob Storage jobs include:
What job categories do people searching Azure Blob Storage jobs look for? The top searched job categories for Azure Blob Storage jobs are:
Azure Blob Storage jobs near you
Infographic showing various Azure Blob Storage job openings in the United States as of June 2026, with employment types broken down into 4% As Needed, 89% Full Time, and 7% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $121,476 per year, or $58.4 per hour.
Azure Databricks Engineer (Dallas, TX)

Azure Databricks Engineer (Dallas, TX)

CEDENT

Dallas, TX • On-site

$54.50 - $67.50/hr

Other

Posted 4 days ago

Job description

Key Responsibilities: Azure Databricks Architecture & Design: Design, build, and optimize scalable, high-performance data pipelines and data lakes using Azure Databricks. Architect and implement end-to-end analytics solutions leveraging Databricks and other Azure services (e.g., Azure Data Lake, Azure SQL, Azure Blob Storage). Lead the design of cloud-based architectures using Azure Databricks for data processing, transformation, and reporting

Data Engineering & Integration: Design and implement ETL/ELT processes to ingest, process, and transform data across various sources (structured and unstructured). Collaborate with data scientists, analysts, and other stakeholders to understand business requirements and develop data solutions. Manage data integration workflows between Databricks and other platforms like Power BI, Azure SQL, Synapse, etc.

Optimization & Performance Tuning: Identify performance bottlenecks in Databricks environments and optimize clusters, queries, and code. Continuously improve and scale data pipelines to accommodate growing data volumes and business needs. Collaboration & Leadership: Mentor and guide junior engineers and team members in best practices related to Azure Databricks and data engineering.

Work closely with cross-functional teams (data science, analytics, business intelligence) to deliver integrated solutions. Provide technical leadership in cloud data architecture and data engineering. Monitoring & Security: Implement monitoring and alerting systems to ensure data pipelines and workflows are running smoothly.

Ensure compliance with data security and governance standards across the data ecosystem. Continuous Improvement & Innovation: Stay up to date with the latest advancements in Azure Databricks, cloud technologies, and data engineering trends. Continuously evaluate and introduce new technologies and methodologies to enhance the data platform.

Required Skills and Qualifications: Experience: Minimum 10 years of hands-on experience in data engineering and cloud-based data platforms. At least 5 years of experience working with Azure Databricks, building data pipelines, and performing data engineering tasks. Strong experience with Azure services such as Azure Data Lake, Azure Synapse Analytics, Azure Blob Storage, Azure SQL Database, etc.

Technical Skills: Proficiency in Spark, PySpark, Scala, or SQL for large-scale data processing. Expertise in Databricks notebooks, clusters, job scheduling, and libraries. Deep understanding of cloud-native data engineering practices and architecture on Azure.

Familiarity with data modeling, data lakes, and data warehouse concepts. Expertise in Azure services: Data Factory, Data Lake, Synapse Analytics, Event Hubs, Cosmos DB. Data Pipeline and ETL/ELT Development: Experience building and optimizing ETL/ELT workflows on Databricks.

Knowledge of data orchestration tools such as Azure Data Factory, Apache Airflow, or similar. Big Data Technologies: Proficiency in handling large-scale distributed data processing with tools like Apache Spark. Experience with technologies such as Kafka, Delta Lake, and Databricks Runtime.

Strong understanding of Delta Lake and Lakehouse architecture. Programming Languages: Strong programming skills in Python, Scala, or Java. Experience with SQL-based querying and optimizations.

Cloud & DevOps: Strong understanding of Azure cloud services and architecture. Familiarity with DevOps principles, CI/CD pipelines, and automation tools. Terraform required.

Knowledge of Git, Azure DevOps, or similar version control and deployment systems. Collaboration & Leadership: Excellent communication skills to work with both technical and non-technical stakeholders. Proven track record of mentoring and leading teams of data engineers.

Experience managing complex projects and working with cross-functional teams. Preferred Qualifications: Certifications: Microsoft Certified: Azure Data Engineer Associate or equivalent certification. Databricks Certified Associate Developer for Apache Spark.

Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

Cedent logo

About Cedent

Sourced by ZipRecruiter

CEDENT strives to attract and retain the best people and provide an environment where they can all develop professionally and build a rewarding career. As a result, we create an inclusive environment that is rich in diversity, acknowledges each individual's uniqueness and promotes respect, personal achievement and stewardship. Our clients are global and so is CEDENT. We build and maintain a global workforce that includes people from different backgrounds, with a vast range of skills and experience all united by a common culture and commitment to help our clients achieve high performance. Cultivating a diverse workforce and inclusive work environment makes business sense. Our peoples varied skills are the talent engine that powers CEDENT, enabling it in turn to deliver the innovative solutions that help our clients outperform competitors.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Plano, TX, US

Year founded

2008

View All Cedent Jobs

Apply