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Azure Databricks Jobs in Phoenix, AZ (NOW HIRING)

Pwc

AI Engineer

Phoenix, AZ · 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 ...

Phoenix Staff

Mid-Senior Data Engineer

Phoenix, AZ · Hybrid

$100K - $115K/yr

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 ...

Conch Technologies Inc

Data Analyst

Tempe, AZ · On-site

Azure Data Lake Storage * Microsoft Fabric / Foundry * Databricks * Azure Machine Learning * Data Lakes & Data Warehousing * Data Governance, Metadata Management, and Data Lineage Key ...

onsemi

Sr. Manager AI & Data Science

Scottsdale, AZ · On-site

Experience with tools like Databricks, Azure ML, and Snowflake. * Understanding of ERP platform and experience in enabling AI in business functions like sales, HR, finance, operations, etc.

Kimley-Horn

Data Engineer

Phoenix, AZ

$104K - $125K/yr

Experience with Microsoft Fabric, Databricks, or Snowflake. * Knowledge of enterprise data architecture and data modeling principles. * Experience with Azure Data Lake Storage. * Familiarity with ...

Troon

Senior Data Platform Architect

Scottsdale, AZ

$67.25 - $89.75/hr

Lead architecture decisions for Azure services (e.g., Data Factory, Synapse, Data Lake, Databricks) and Fabric components * Ensure interoperability and alignment between Azure-native services and ...

Troon Golf

Senior Data Platform Architect

Scottsdale, AZ · On-site

$67.25 - $89.75/hr

Lead architecture decisions for Azure services (e.g., Data Factory, Synapse, Data Lake, Databricks) and Fabric components * Ensure interoperability and alignment between Azure-native services and ...

Kimley-Horn

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Experience with Microsoft Fabric, Databricks, or Snowflake. * Knowledge of enterprise data architecture and data modeling principles. * Experience with Azure Data Lake Storage. * Familiarity with ...

Kimley-Horn

Data Engineer

Phoenix, AZ · On-site

$104K - $125K/yr

Experience with Microsoft Fabric, Databricks, or Snowflake. * Knowledge of enterprise data architecture and data modeling principles. * Experience with Azure Data Lake Storage. * Familiarity with ...

Kimley-Horn

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Experience with Microsoft Fabric, Databricks, or Snowflake. * Knowledge of enterprise data architecture and data modeling principles. * Experience with Azure Data Lake Storage. * Familiarity with ...

Troon

Data Engineer

Scottsdale, AZ · On-site

$115K - $138K/yr

... Databricks • Familiarity with Delta Lake and lakehouse architectures • Experience with CI/CD pipelines and DevOps practices in Azure • Knowledge of data governance, lineage, and cataloging ...

Kahala Management LLC

Data Quality Analyst

Scottsdale, AZ · On-site

$100K - $110K/yr

Databricks Lakehouse Platform * Python * PySpark * Azure Data Factory * Apache Spark * Unity Catalog * Delta Live Tables * Power BI * Git * CI/CD pipelines Benefits ( Subject to Change ): * 401(k) ...

OmegaHires

Gen AI Engineer with Python

Phoenix, AZ · On-site

... AWS, Azure, or GCP). Preferred Skills Experience with AI evaluation frameworks, observability, and LLMOps. Knowledge of MLOps and AI model deployment. Experience with Databricks, Snowflake, or ...

New

OmegaHires

Lead Gen AI Engineer with Python

Phoenix, AZ · On-site

$139K - $170K/yr

... AWS, Azure, or GCP). Preferred Skills Experience with AI evaluation frameworks, observability, and LLMOps. Knowledge of MLOps and AI model deployment. Experience with Databricks, Snowflake, or ...

New

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Showing results 41-60

All JobsAzure Databricks JobsAzure Databricks Jobs in Phoenix, AZ

Azure Databricks information

See Phoenix, AZ salary details

$10

$57

$79

How much do azure databricks jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for azure databricks in Phoenix, AZ is $57.99, according to ZipRecruiter salary data. Most workers in this role earn between $52.50 and $65.14 per hour, depending on experience, location, and employer.

Is Azure Databricks in demand?

Azure Databricks is a popular platform for data engineering, analytics, and machine learning, leading to strong demand for professionals skilled in its use. Roles often require knowledge of Spark, cloud computing, and data pipeline development, making Azure Databricks expertise valuable in the data industry.

What does an Azure Databricks do?

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 is a job in Azure Databricks?

A job in Azure Databricks refers to an automated task or set of tasks that run on the platform, such as data processing, machine learning model training, or data pipeline execution. These jobs are scheduled and managed through the Azure Databricks workspace, often requiring knowledge of Spark, Python, Scala, or SQL. They enable users to automate workflows and handle large-scale data analytics efficiently.

What is an Azure Databricks?

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.

Does Azure Databricks allow remote work?

Azure Databricks is a cloud-based data analytics platform used by data engineers and data scientists, and remote work is common for roles involving this technology. Many organizations enable remote work for Azure Databricks professionals, especially those with skills in cloud computing, data engineering, and collaboration tools. However, specific remote work policies depend on the employer and job role.

What are the key skills and qualifications needed for an Azure Databricks?

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.

What are the most commonly searched types of Azure Databricks jobs in Phoenix, AZ?

The most popular types of Azure Databricks jobs in Phoenix, AZ are:

What are popular job titles related to Azure Databricks jobs in Phoenix, AZ?

For Azure Databricks jobs in Phoenix, AZ, the most frequently searched job titles are:

What job categories do people searching Azure Databricks jobs in Phoenix, AZ look for?

The top searched job categories for Azure Databricks jobs in Phoenix, AZ are:

Azure Databricks jobs near you
Infographic showing various Azure Databricks job openings in Phoenix, AZ as of August 2026, with employment types broken down into 88% Full Time, 1% Part Time, and 11% Contract. Highlights an 75% Physical, 9% Hybrid, and 16% Remote job distribution, with an average salary of $120,615 per year, or $58 per hour.

Java FSE Lead / Architect (In-person Interview required in AZ)

Saransh Inc

Tempe, AZ • On-site

Contractor

Re-posted 3 days ago

Job description

Title: Java FSE Lead/Architect
Location: Tempe, AZ (3 days a week onsite) - Locals preferred
Job Type: Contract
 
Note: In-person Interviews are required at the client location in Tempe, AZ (so locals would be preferred)
 
Skill Metrics:
 
DataLake
Databricks
Kafka
Restful APIs
Grafana
Azure
Docker
Kubernetes
Gradle
ADX Portals
Angular
PostgreSQL
Terraform
Apache
Spring Boot
CSS
Github (DevOps)
HTML
Node JS
Thymeleaf

Job Summary:
  • We are seeking a highly experienced Java Full Stack Engineer (Lead/Architect) with a minimum of 7 years of hands‑on experience in full‑stack development, cloud engineering, and distributed systems.
  • The ideal candidate will be capable of leading development efforts, designing modules end‑to‑end, mentoring team members, and owning delivery from development through deployment.
  • This is a customer‑facing on‑site role with significant leadership responsibilities and collaboration with both onsite and offshore teams.
Key Responsibilities:
  • Serve as the Java Full Stack Lead/Architect, providing technical direction and hands‑on expertise.
  • Design application modules independently and contribute to architectural decisions.
  • Lead and participate in Agile ceremonies and perform all sprint‑related technical activities.
  • Own the end‑to‑end delivery of assigned user stories/features—from development through deployment.
  • Communicate effectively with both onsite and offshore stakeholders.
  • Function as a Senior Full Stack Engineer, providing strong technical leadership.
Required Skills & Experience (Minimum 7 Years):
Core Full Stack Development
Proven Full Stack Engineering background (backend + frontend)
Strong leadership experience in Java‑based engineering projects
Backend Technologies
Java Spring Boot
RESTful Web Services
Apache Kafka
 
Database/persistence:
PostgreSQL
DataLake
ADX
Databricks
ORM frameworks
Query performance tuning
 
Cloud & Containerization:
Strong experience with Azure Cloud
Kubernetes
Docker
Cloud-based design, development, and deployment
 
Frontend Technologies:
Thymeleaf
NodeJS
HTML, CSS
Angular
 
Build, CI/CD & Deployment:
Gradle
Terraform
Helm
Kustomize
GitHub Actions
 
DevOps & Monitoring Toolchain:
Slack
GitHub
Fluentbit
Apache NiFi
Dynatrace
Microsoft Teams
Grafana