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Azure Data Explorer Jobs (NOW HIRING)

Phoenix Staff

Mid-Senior Data Engineer

Phoenix, AZ · Hybrid

$100K - $115K/yr

Knowledge of KQL and Azure Monitor / Data Explorer. * Experience with object storage and file-based data architectures. * Exposure to analytics or data science tools (Databricks, Azure ML, etc.

INSPYR Solutions

Data Engineer - CTH

Fort Worth, TX · On-site

$38 - $45/hr

Experience with Azure Event Hubs, Azure Functions, Azure Data Explorer, or Azure Stream Analytics. * Experience with data platforms such as Teradata, Snowflake, SQL Server, Oracle, Cassandra, or ...

Booz Allen Hamilton

Azure Data Engineer

Mclean, VA · On-site

$62K - $141K/yr

Azure Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and ... You'll sharpen your skills in analytical exploration and data examination while you support the ...

Phase2 Technology

Azure Data Engineer

Melbourne, FL · On-site

$100 - $125/hr

Job Number: R0246063 Azure Data Engineer The Opportunity: Ever-expanding technology like IoT ... You'll sharpen your skills in analytical exploration and data examination while you support the ...

Booz Allen Hamilton

Azure Data Engineer

Mclean, VA · On-site

$62K - $141K/yr

Job Number: R0246063 Azure Data Engineer The Opportunity: Ever-expanding technology like IoT ... You'll sharpen your skills in analytical exploration and data examination while you support the ...

Focused HR Solutions

Azure Data Engineer 1-20-

Raleigh, NC · Remote

$117K - $140K/yr

Explore ways to enhance data quality and reliability. Requirements and Skills: Data Modeling and ... Azure Data Services: * Deep understanding and hands-on experience with Azure data services such as ...

ARC Group

Sr. Data Scientist

Atlanta, GA

Power BI, Azure Synapse and Azure Data Explorer, SQL. You should know how to build a report off Azure and link it to Power BI * This is not a developer position, but you must possess strong SQL ...

Syntricate Technologies

Big Data Developer

Richardson, TX · On-site

$48.25 - $62.50/hr

Airflow, Azure Data Factory) • Experience with real-time and streaming technology (i.e. Azure ... exploration, 5+ years' experience. • Experience working in an agile delivery environment. • ...

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Azure Data Explorer information

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How much do azure data explorer jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for azure data explorer 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 is Azure Data Explorer?

Azure Data Explorer (ADX) is a fully managed, fast, and highly scalable data analytics service provided by Microsoft Azure. It is designed for real-time analysis of large volumes of structured, semi-structured, and unstructured data. ADX is especially useful for analyzing log and telemetry data, making it popular in scenarios like application monitoring, IoT, and big data analytics. Users can quickly ingest, explore, and visualize data using Kusto Query Language (KQL). Its integration with other Azure services makes it a powerful tool for end-to-end data solutions.

What are the key skills and qualifications needed to thrive as an Azure Data Explorer specialist?

To thrive as an Azure Data Explorer Specialist, you need strong expertise in data analytics, Kusto Query Language (KQL), and a solid understanding of cloud data architectures, often supported by a background in computer science or data engineering. Familiarity with Azure Data Explorer tools, Azure Data Lake, Power BI, and relevant Microsoft certifications (such as Azure Data Engineer Associate) is typically required. Analytical thinking, problem-solving, and effective communication are crucial soft skills for interpreting complex datasets and collaborating with stakeholders. These competencies are vital for efficiently managing large-scale data, deriving actionable insights, and ensuring seamless integration with business intelligence solutions.

What are some common challenges faced by Azure Data Explorer professionals when managing large-scale data ingestion?

Azure Data Explorer professionals often encounter challenges with optimizing data ingestion pipelines for both speed and reliability, especially when handling high-velocity data streams. Ensuring data consistency, minimizing latency, and efficiently partitioning or batching incoming data are critical tasks. Additionally, professionals must monitor resource usage and manage scaling to avoid bottlenecks, all while maintaining cost-effectiveness and compliance with security best practices. Collaborating closely with data engineers and DevOps teams is key to successfully addressing these challenges.

What is the difference between Azure Data Explorer vs Data Analyst?

AspectAzure Data ExplorerData Analyst
Primary RoleData ingestion, querying, and real-time analytics on large datasetsData interpretation, reporting, and visualization for business insights
Required SkillsSQL, Kusto Query Language, cloud services, data managementExcel, SQL, data visualization tools, statistical analysis
Work EnvironmentCloud platforms, data warehouses, big data environmentsBusiness offices, data teams, reporting platforms
CertificationsAzure certifications, data platform certificationsNone specific, often data analysis or business intelligence certifications

Azure Data Explorer focuses on managing and analyzing large-scale data in cloud environments, while Data Analysts interpret data to generate business insights. Both roles require SQL skills but differ in technical depth and focus areas.

What jobs can I get with Azure Data Explorer?

Jobs related to Azure Data Explorer include data engineer, data analyst, data scientist, and cloud solutions architect. These roles involve working with large datasets, designing data pipelines, and utilizing Azure services, often requiring skills in SQL, Kusto Query Language, and cloud computing environments.

What are popular job titles related to Azure Data Explorer jobs?

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

Infographic showing various Azure Data Explorer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $121,476 per year, or $58.4 per hour.

Mid-Senior Data Engineer

Phoenix, AZ • Hybrid

Phoenix Staff
Recruiting and Staffing Services • 11 - 50 employees
Learn more about Phoenix Staffexternal

$100K - $115K/yr

Full-time

Re-posted 6 days ago

Job description

Job Title: Data Engineer (Mid-Level to Senior)

Location: Hybrid / Onsite as needed (project-dependent)

Salary: $100,000 - $115,000


We are partnering with an organization seeking a skilled Data Engineer to support the design, build, and optimization of a modern data platform. This role focuses on developing scalable data pipelines and infrastructure that power analytics, reporting, and AI initiatives. The ideal candidate is comfortable working across Fabric and the modern Microsoft data stack (e.g., Azure Data Factory, Azure Data Lake Storage, Azure SQL Database / Managed Instance, Cosmos DB, etc.) and enjoys solving complex data transformation and integration challenges in a collaborative environment.


Your role:

  • Design, build, and maintain ETL/ELT pipelines using Azure Data Factory and related tools.
  • Architect and manage data lake and data warehouse solutions.
  • Transform and move data across relational, NoSQL, and object storage systems.
  • Collaborate with engineering and product teams to define data requirements and solutions.
  • Monitor, troubleshoot, and optimize data pipelines for performance and reliability.
  • Ensure data quality and integrity across systems.
  • Document data flows, schemas, and architecture decisions.
  • Contribute to data platform strategy and ongoing improvements.


What you’ve got:

  • 3+ years of experience for mid-level candidates; 6+ years for senior-level candidates.
  • Strong experience with Azure Data Factory or similar ETL/ELT tools.
  • Solid understanding of database design (relational modeling, normalization/denormalization).
  • Experience with data lakes and/or data warehouses (Azure Data Lake, Microsoft Fabric, etc.).
  • Experience transforming structured, semi-structured, and unstructured data.
  • Proficiency in SQL and experience with Azure SQL Database and/or Azure SQL Managed Instance.
  • Familiarity with Azure data services and the Microsoft data ecosystem.
  • Strong problem-solving skills and ability to work both independently and collaboratively.


Preferred:

  • Experience with Cosmos DB or other NoSQL platforms.
  • Knowledge of KQL and Azure Monitor / Data Explorer.
  • Experience with object storage and file-based data architectures.
  • Exposure to analytics or data science tools (Databricks, Azure ML, etc.).
  • Understanding of data governance, lineage, and cataloging best practices.


To find more great tech-centric jobs, please visit www.phoenixstaff.com