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Databricks Engineer Jobs in Arizona (NOW HIRING)

Deloitte

Sr Databricks Data Engineer

Tempe, AZ

$109K - $131K/yr

As a Senior Consultant - Databricks Engineer in our AI & Data practice, you will design, build, and optimize cloud-based data engineering solutions that support large-scale transformation. You will ...

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 ...

Deloitte

Databricks Data Engineer

Tempe, AZ

$109K - $131K/yr

As a Databricks Data Engineer, you will support the design, build, and optimization of cloud-based data engineering solutions that enable large-scale transformation. You will work with business and ...

Avnet, Inc.

Databricks Administrator

Phoenix, AZ · On-site

... Databricks, Apache Spark, Delta Lake, and modern data engineering practices ... Collaborates with data engineers, data scientists, analysts, business stakeholders, and technology ...

Avnet, Inc.

Databricks Administrator

Tempe, AZ · On-site

... Databricks, Apache Spark, Delta Lake, and modern data engineering practices ... Collaborates with data engineers, data scientists, analysts, business stakeholders, and technology ...

Avnet, Inc.

Databricks Administrator

Tempe, AZ · On-site

... Databricks, Apache Spark, Delta Lake, and modern data engineering practices ... Collaborates with data engineers, data scientists, analysts, business stakeholders, and technology ...

Avnet, Inc.

Databricks Administrator

Phoenix, AZ · On-site

... Databricks, Apache Spark, Delta Lake, and modern data engineering practices ... Collaborates with data engineers, data scientists, analysts, business stakeholders, and technology ...

Avnet, Inc.

Databricks Administrator

Tempe, AZ · On-site

... Databricks, Apache Spark, Delta Lake, and modern data engineering practices ... Collaborates with data engineers, data scientists, analysts, business stakeholders, and technology ...

Koantek

Databricks Platform Architect

Chandler, AZ · On-site

Pipeline Engineering: Design distributed processing frameworks, control flows, and configuration ... Deep expert-level knowledge of Databricks (Lakehouse architecture, Delta Lake, Unity Catalog) and ...

Deloitte

Databricks Manager

Tempe, AZ · On-site +1

These solutions are powered by engineering for business advantage, transforming mission-critical ... Experience with Databricks MLOps or infrastructure setup * Experience coordinating delivery teams ...

Koantek

Databricks Platform Architect

Chandler, AZ · Remote

Pipeline Engineering: Design distributed processing frameworks, control flows, and configuration ... Deep expert-level knowledge of Databricks (Lakehouse architecture, Delta Lake, Unity Catalog) and ...

Deloitte

Databricks Manager

Tempe, AZ · On-site

Required : • Bachelor's degree preferably in Computer Science, Information Technology, Computer Engineering, or equivalent experience. • 8+ years of experience with Databricks platform ...

Deloitte

Databricks Manager

Tempe, AZ

Bachelor's degree 6+ years of experience delivering data engineering, analytics, or cloud data platform solutions 3+ years of experience with Databricks and Apache Spark 3+ years of experience with ...

kestra

Senior Data Platform Engineer

Tempe, AZ · On-site

$109K - $131K/yr

We are seeking a seasoned Databricks Data Engineer with expertise in Azure cloud services and the Databricks Lakehouse platform. The role involves designing and optimizing large-scale data pipelines ...

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All JobsDatabricks Engineer JobsDatabricks Engineer Jobs in Arizona

Databricks Engineer information

See Arizona salary details

$55.4K

$104K

$189.2K

How much do databricks engineer jobs pay per year?

As of Jun 19, 2026, the average yearly pay for databricks engineer in Arizona is $104,028.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,000.00 and $123,500.00 per year, depending on experience, location, and employer.

What engineers make $500,000?

Senior engineers in high-demand fields such as software engineering, data engineering, and specialized roles like Databricks Engineers can earn $500,000 or more annually, especially with extensive experience, advanced skills in cloud platforms, and leadership responsibilities. Compensation often includes base salary, bonuses, and stock options, particularly in large tech companies or startups with significant funding.

Is it hard to get hired at Databricks?

Getting hired as a Databricks Engineer can be competitive, as the role requires strong skills in big data technologies, cloud platforms, and programming languages like Python or Scala. Candidates often need relevant experience, certifications, and a solid understanding of data engineering concepts to succeed in the hiring process.

What is the salary of engineer in Databricks?

The salary of a Databricks Engineer typically ranges from $100,000 to $150,000 annually, depending on experience, location, and skill level. Senior roles or those with specialized skills in Spark, cloud platforms, or data engineering may earn higher compensation. Salaries can also vary based on company size and industry demand.

Is Databricks Data Engineer in demand?

Databricks Data Engineers are in high demand due to the increasing adoption of cloud-based data platforms and the need for expertise in big data processing, Spark, and cloud environments. Companies seek professionals skilled in data pipeline development, ETL processes, and cloud tools like AWS or Azure, making this a strong career choice with good job prospects.

What are some common challenges faced by Databricks Engineers when working with large-scale data pipelines?

Databricks Engineers often encounter challenges related to optimizing the performance and reliability of large-scale data pipelines. These can include efficiently managing cluster resources, handling data partitioning to prevent bottlenecks, and troubleshooting job failures due to resource constraints or data quality issues. Collaboration with data scientists, analysts, and DevOps teams is essential to ensure seamless integration and deployment of production workflows. Staying current with evolving Databricks features and best practices also plays a key role in overcoming these challenges.

What is a Databricks Engineer?

A Databricks Engineer is a data engineering professional who specializes in using the Databricks platform to build, manage, and optimize data pipelines and analytics solutions. They work with big data technologies like Apache Spark, Delta Lake, and cloud services to process and analyze large datasets efficiently. Their role often involves developing ETL (extract, transform, load) workflows, setting up data lakes, and ensuring data quality and performance for business intelligence and machine learning applications.

What are the key skills and qualifications needed to thrive as a Databricks Engineer, and why are they important?

To thrive as a Databricks Engineer, you need strong expertise in big data processing, cloud platforms (like AWS or Azure), and proficiency with languages such as Python, SQL, and Scala, often supported by a degree in computer science or a related field. Familiarity with Apache Spark, Databricks Workspace, version control systems like Git, and relevant Databricks certifications are typically required. Strong analytical thinking, collaboration, and effective communication skills help you understand business needs and work seamlessly with data teams. These skills ensure efficient data pipeline development, scalable analytics solutions, and successful integration of Databricks into organizational workflows.
What are popular job titles related to Databricks Engineer jobs in Arizona? For Databricks Engineer jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Databricks Engineer jobs in Arizona look for? The top searched job categories for Databricks Engineer jobs in Arizona are:
What cities in Arizona are hiring for Databricks Engineer jobs? Cities in Arizona with the most Databricks Engineer job openings:
Databricks Engineer jobs near you
Infographic showing various Databricks Engineer job openings in Arizona as of June 2026, with employment types broken down into 98% Full Time, and 2% Part Time. Highlights an 87% Physical, 6% Hybrid, and 7% Remote job distribution, with an average salary of $104,028 per year, or $50 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

Apply