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Azure Databricks Jobs in Arizona (NOW HIRING)

Deloitte

Azure/Databricks Infrastructure Engineer

Tempe, AZ · On-site

$53.50 - $71.25/hr

As an Azure/Databricks Infrastructure Engineer, you will design, implement, and optimize secure, scalable Azure and Databricks environments that support analytics, AI, and enterprise data ...

InterSources

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Senior Data Engineer - Azure & Databricks We are seeking a highly skilled Senior Data Engineer to design, implement, and support advanced analytics and data engineering solutions using Microsoft ...

Deloitte

Databricks Manager

Tempe, AZ · On-site

... Azure, Amazon Web Services, and Google Cloud Platform, including integrations • Provide hands-on support for Databricks development, platform configuration, and infrastructure setup • Coordinate ...

Circle K

Data/Information Architect

Tempe, AZ

$61 - $78.50/hr

Azure Databricks, Azure data lake, Ansible, SQL, Terraform, Kafka , Azure CLI, Databricks CLI, PowerShell and/or Bash. What Could Set You Apart * Must have designed the E2E architecture of unified ...

Circle K Stores, Inc.

Data/Information Architect

Tempe, AZ · On-site

$61 - $78.50/hr

Azure Databricks, Azure data lake, Ansible, SQL, Terraform, Kafka , Azure CLI, Databricks CLI, PowerShell and/or Bash. What Could Set You Apart * Must have designed the E2E architecture of unified ...

Dlapiper

Data Engineer

Phoenix, AZ

$113K - $136K/yr

Design and implement data pipelines using Azure data technologies (e.g., Azure Data Factory, Azure Databricks, Azure Event Hubs, SSIS) to ingest, process, and deliver data from sources such as APIs ...

Avnet, Inc.

Databricks Administrator

Phoenix, AZ

Designs, deploys, configures, and manages Databricks workspaces, clusters, jobs, workflows, and related platform components in a cloud environment such as AWS, Azure, or GCP. * Builds, maintains, and ...

Avnet, Inc.

Databricks Administrator

Tempe, AZ

Designs, deploys, configures, and manages Databricks workspaces, clusters, jobs, workflows, and related platform components in a cloud environment such as AWS, Azure, or GCP. * Builds, maintains, and ...

Avnet, Inc.

Databricks Administrator

Tempe, AZ · On-site

Designs, deploys, configures, and manages Databricks workspaces, clusters, jobs, workflows, and related platform components in a cloud environment such as AWS, Azure, or GCP. * Builds, maintains, and ...

Avnet, Inc.

Databricks Administrator

Phoenix, AZ

Designs, deploys, configures, and manages Databricks workspaces, clusters, jobs, workflows, and related platform components in a cloud environment such as AWS, Azure, or GCP. * Builds, maintains, and ...

Avnet, Inc.

Databricks Administrator

Tempe, AZ

Designs, deploys, configures, and manages Databricks workspaces, clusters, jobs, workflows, and related platform components in a cloud environment such as AWS, Azure, or GCP. * Builds, maintains, and ...

Deloitte

Databricks Manager

Tempe, AZ · On-site +1

Experience building Databricks environments in Microsoft Azure Cloud Services, Amazon Web Services, or Google Cloud Platform, including integrations * Experience with Databricks MLOps or ...

NextStep

BI Architect

Phoenix, AZ · On-site

... for Azure cloud based solution (ADLS, Databricks, monitoring services). - Solicit and translate business needs into requirements for data objects including metrics, attributes, reports, and ...

Deloitte

Sr Databricks Data Engineer

Tempe, AZ

$109K - $131K/yr

Oversee the implementation of CI/CD practices with tools such as Azure DevOps, AWS Code Pipeline ... As a Senior Consultant - Databricks Engineer in our AI & Data practice, you will design, build, and ...

Deloitte

Databricks Manager

Tempe, AZ

... Azure, or Google Cloud Platform (GCP) Experience designing batch and streaming data pipelines ... Deloitte is seeking a Manager - Databricks to support the design, build, and delivery of modern ...

Next Step Systems LTD

BI Architect

Phoenix, AZ · On-site

... for Azure cloud based solution (ADLS, Databricks, monitoring services). - Solicit and translate business needs into requirements for data objects including metrics, attributes, reports, and ...

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Azure Databricks information

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$10

$54

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How much do azure databricks jobs pay per hour?

As of Jun 18, 2026, the average hourly pay for azure databricks in Arizona is $54.42, according to ZipRecruiter salary data. Most workers in this role earn between $49.28 and $61.15 per hour, depending on experience, location, and employer.

Is Azure Databricks in demand?

Azure Databricks is a highly sought-after skill in data engineering and analytics roles due to its widespread adoption for big data processing and machine learning. Professionals with expertise in Spark, cloud platforms, and data pipelines using Azure Databricks are increasingly in demand across industries seeking scalable data solutions.

How much do Databricks employees make?

Azure Databricks employees' salaries vary based on role, experience, and location, but the average salary for data engineers and data scientists ranges from $100,000 to $150,000 annually. Entry-level positions typically start around $80,000, while senior roles can exceed $180,000. Compensation often includes benefits such as stock options and performance bonuses, especially for technical roles requiring expertise in cloud platforms and big data tools.

What does a typical day look like for someone working in an Azure Databricks role?

A typical day for an Azure Databricks professional involves designing, developing, and maintaining data pipelines, collaborating with data scientists and business analysts to transform raw data into actionable insights. You may spend time configuring Spark clusters, optimizing query performance, ensuring data security, and troubleshooting data workflow issues. Regular meetings with stakeholders and team members are common to align on project requirements and report progress. This role often offers a mix of independent technical work and team collaboration, making it both dynamic and engaging.

What are jobs in Azure Databricks?

Jobs in Azure Databricks refer to automated tasks or workflows that run data processing, analytics, or machine learning tasks on the platform. They are scheduled or triggered to execute notebooks, JAR files, or Python scripts, often requiring knowledge of Spark, Scala, or Python, and are managed through the Azure Databricks workspace. These jobs enable scalable data engineering and analytics operations for data teams.

What is an Azure Databricks job?

An Azure Databricks job is a way to run a notebook, JAR, Python script, or other workload in an automated or scheduled manner on an Azure Databricks cluster. Jobs allow users to orchestrate data processing, machine learning tasks, or ETL workflows efficiently. They can be triggered manually, on a schedule, or in response to events, enabling streamlined data pipeline management. Jobs also support multi-task workflows, allowing dependencies between different tasks.

What are the key skills and qualifications needed to thrive in the Azure Databricks position, and why are they important?

To thrive as an Azure Databricks professional, you need expertise in big data analytics, data engineering, and proficiency with SQL, Python, and Apache Spark, typically supported by a degree in computer science or a related field. Familiarity with the Azure cloud ecosystem, Databricks platform tools, and advantageous certifications like Azure Data Engineer Associate are highly valuable. Strong problem-solving skills, collaboration, and the ability to communicate technical concepts clearly help set you apart in this role. These abilities are crucial for designing and optimizing scalable data solutions and effectively working within cross-functional data teams.

Are Databricks skills in demand?

Azure Databricks skills are highly in demand as organizations seek professionals proficient in cloud-based data analytics, big data processing, and machine learning. Knowledge of Spark, Python, and data engineering concepts enhances job prospects in roles such as data engineer, data scientist, and analytics engineer.
What are the most commonly searched types of Azure Databricks jobs in Arizona? The most popular types of Azure Databricks jobs in Arizona are:
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Azure Databricks jobs near you
Infographic showing various Azure Databricks job openings in Arizona as of June 2026, with employment types broken down into 92% Full Time, 3% Part Time, and 5% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $113,202 per year, or $54.4 per hour.

Azure Databricks Engineer

Prophecy Technologies

Phoenix, AZ • On-site

Full-time

Posted 15 days ago

Job description

Role: Azure Databricks Engineer - Python / Synapse / Multi-Cloud Data Integration
Location: Phoenix, AZ / Philadelphia, PA
Competencies
Must-Have:
  • Stellar hands-on expertise in Python for data engineering, transformation, and automation
  • Proven experience working with Microsoft Azure Databricks, Azure Synapse Analytics, and Azure SQL
  • Strong understanding of ETL/ELT pipelines, data modeling, and data orchestration within cloud environments
  • Ability to design and implement data pipelines for large-scale analytics solutions
  • Familiarity with multi-cloud environments, including Amazon Redshift and Google BigQuery
  • Experience in data performance tuning, optimization, and query debugging

Good-to-Have:
  • Knowledge of Azure Data Factory (ADF) and Data Lake Storage (ADLS)
  • Experience with DevOps CI/CD practices in data engineering projects
  • Understanding of data governance, security, and compliance standards
  • Exposure to business intelligence (BI) integration and real-time analytics
  • Excellent analytical, communication, and documentation skills

Responsibilities
  • Design, develop, and maintain data engineering solutions using Azure Databricks, Synapse, and Azure SQL
  • Build and optimize Python-based ETL pipelines for data ingestion, transformation, and integration
  • Work on multi-cloud data connectivity between Azure, AWS (Redshift), and GCP (BigQuery)
  • Collaborate with data architects and analysts to define data models and schemas for analytical workloads
  • Ensure data quality, security, and governance across all stages of data processing
  • Implement and manage automation and CI/CD pipelines for scalable data workflows
  • Monitor, troubleshoot, and enhance performance of data jobs and pipelines
  • Document technical designs, data flow diagrams, and best practices for ongoing improvements

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