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Databricks Engineer Jobs in Arizona (NOW HIRING)

Experience with Databricks Apps and the broader Databricks platform is highly desirable but not required. Key Responsibilities Front-End & Application Engineering * Design, develop, and deploy modern ...

Experience with Databricks Apps and the broader Databricks platform is highly desirable but not required. Key Responsibilities Front-End & Application Engineering Design, develop, and deploy modern ...

The ideal candidate will possess deep architectural knowledge of Azure Data Lake and Databricks, a ... Azure certifications, such as Azure Data Engineer Associate or Azure Solutions Architect Expert.

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Data Engineer Location: Tempe, AZ (Onsite) Contract: 12 month Schedule: Monday-Friday | 8:00 AM-5 ... Snowflake or Databricks * Azure Data Factory * Power BI experience is a plus Addison Group is an ...

Data Engineer

Phoenix, AZ · On-site

$55 - $65/hr

Data Engineer Location: Tempe, AZ (Onsite) Contract: 12 month Schedule: Monday-Friday | 8:00 AM-5 ... Snowflake or Databricks * Azure Data Factory * Power BI experience is a plus Addison Group is an ...

Data Engineer

Phoenix, AZ · On-site

$104K - $125K/yr

We are seeking a Data Engineer to join our growing Data & Analytics team. This role is responsible ... Experience with Microsoft Fabric, Databricks, or Snowflake. * Knowledge of enterprise data ...

Data Engineer

Phoenix, AZ

$113K - $136K/yr

Overview We are seeking a Data Engineer to join our growing Data & Analytics team. This role is ... Experience with Microsoft Fabric, Databricks, or Snowflake. * Knowledge of enterprise data ...

Data Engineer

Phoenix, AZ · On-site

$104K - $125K/yr

Overview We are seeking a Data Engineer to join our growing Data & Analytics team. This role is ... Experience with Microsoft Fabric, Databricks, or Snowflake. * Knowledge of enterprise data ...

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Overview We are seeking a Data Engineer to join our growing Data & Analytics team. This role is ... Experience with Microsoft Fabric, Databricks, or Snowflake. * Knowledge of enterprise data ...

The ideal candidate will possess deep architectural knowledge of Azure Data Lake and Databricks, a ... Azure certifications, such as Azure Data Engineer Associate or Azure Solutions Architect Expert.

Data Engineer

Phoenix, AZ

$113K - $136K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... Data pipeline tooling and cloud data services experience (Azure Data Factory, Azure Databricks ...

AWS data engineer

Chandler, AZ · On-site

$63.50 - $83.50/hr

Responsibilities : • Must have: aws data, datazone, databricks, glue or spark, python, data warehousing, CI/CD • Bachelor's degree in Computer Science, Engineering or related field • 5+ years ...

Showing results 21-40

Databricks Engineer information

See Arizona salary details

$55.4K

$104K

$189.2K

How much do databricks engineer jobs pay per year?

As of Aug 18, 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 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?

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 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.

How much does a Databricks engineer make?

A Databricks engineer's salary typically ranges from $90,000 to $150,000 annually, depending on experience, location, and skill level. Senior roles or those with specialized skills in Spark, cloud platforms, and data engineering can earn higher compensation, often including bonuses and benefits.

Is a Databricks engineer in demand?

Databricks engineers are in high demand due to the growing adoption of cloud-based data analytics and machine learning platforms. They typically require skills in Spark, SQL, and cloud environments like AWS or Azure, making them valuable in data-driven organizations across various industries.

What cities in Arizona are hiring for Databricks Engineer jobs?

Cities in Arizona with the most Databricks Engineer job openings:

Infographic showing various Databricks Engineer job openings in Arizona as of August 2026, with employment types broken down into 92% Full Time, 3% Part Time, 2% Temporary, and 3% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $104,028 per year, or $50 per hour.

AI Engineer (Forward Deployed Engineer)

Globe Telecom, Inc.

Globe, AZ • On-site

Full-time

Re-posted 2 days ago


Job description

At Globe, our goal is to create a wonderful world for our people, business, and nation. By uniting people of passion who believe they can make a difference, we are confident that we can achieve this goal.

Job Description The AI Engineer (Forward Deployed Engineer) is an AI practitioner within Globe's AI
Group who designs, builds, and ships AI-powered applications and agents
that teams across the company actually use.

The AI Engineer does hands-on work with large language models and, where the problem calls for it, deep learning, turns real business problems into working solutions: writing production code, embedding with a Globe business team (forward-deployed), and owning the problem end to end. This is a builder role centered on strong fundamentals, rapid delivery, and a genuine drive to make things that work.

DUTIES AND RESPONSIBILITIES:

Design, build, and ship AI-powered apps and agents that teams

across Globe actually use, working with Python, React, Tailwind,

Databricks, and GCP

Work with large language models through prompting, RAG, and

AI agents, with a real understanding of how they work under the

hood

Train and apply deep learning models where the problem calls for

it

Add explainability and monitoring so the systems you ship can be

trusted and understood

Support the project management of Globe's AI enterprise

platform, from planning to delivery

Embed with a Globe business team, learn its problem deeply, and

own the solution end to end

Write code that goes live, working side by side with the business

team whose problem you are solving

Help teams across Globe put AI to work in real products

REQUIREMENTS:

  • Bachelor's degree in Computer Science, Computer Engineering, Information Technology, Data Science, Artificial Intelligence, or a related field. A Master's degree is an advantage but not required.

  • Preferably At least 2 years of professional experience in software engineering, AI engineering, machine learning, or related technical roles, with hands-on experience developing and deploying production applications, but fresh graduates are welcome to apply

  • Familiarity designing and building AI-powered applications using modern programming languages such as Python, with exposure to frontend frameworks such as React and modern web technologies.

  • Familiarity working with Large Language Models (LLMs), including prompt engineering, Retrieval-Augmented Generation (RAG), AI agents, or similar generative AI technologies.

  • Familiarity with cloud platforms such as Google Cloud Platform (GCP), Databricks, or equivalent AI and data platforms.

Equal Opportunity Employer
Globe's hiring process promotes equal opportunity to applicants, Any form of discrimination is not tolerated throughout the entire employee lifecycle, including the hiring process such as in posting vacancies, selecting, and interviewing applicants.
Globe's Diversity, Equity and Inclusion Policy Commitment can be accessed here

Make Your Passion Part of Your Profession. Attracting the best and brightest Talents is pivotal to our success. If you are ready to share our purpose of Creating a Globe of Good, explore opportunities with us.