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Databricks Engineer Jobs in Arizona (NOW HIRING)

Databricks Engineer Role Overview We are seeking a highly skilled Databricks Engineer to lead the design, implementation, and optimization of scalable cloud-based data platforms. This role requires ...

Databricks Engineer Role Overview We are seeking a highly skilled Databricks Engineer to lead the design, implementation, and optimization of scalable cloud-based data platforms. This role requires ...

Sr Databricks Data Engineer

Tempe, AZ ยท On-site

$109K - $131K/yr

As a 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 work with business ...

Azure/Databricks Infrastructure Engineer

Tempe, AZ ยท 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 ...

... engineering, problem-solving, and client impact, this role puts you at the forefront of AI transformations. Recruiting for this role ends on September 30, 2026 Work you'll do As a Databricks FDE, you ...

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

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

Lead Forward Deployed Engineer - Databricks

Tempe, AZ ยท On-site

$98K - $129K/yr

... Lead Databricks FDE, you will serve as the senior practitioner-leader embedded directly with our most strategic clients, leading forward-deployed engineering pods that develop and deploy GenAI ...

Senior Forward Deployed Engineer - Databricks

Tempe, AZ ยท On-site

$100K - $137K/yr

... engineering, problem-solving, and client impact, this role puts you at the forefront of AI transformations. Recruiting for this role ends on September 30, 2026 Work you'll do As a Senior Databricks ...

Databricks Platform Architect

Chandler, AZ ยท On-site

$125 - $150/hr

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

Solutions Architect - Strat Media

Phoenix, AZ ยท On-site

$180K - $247K/yr

Serve as a trusted technical advisor to customer architects, engineering leads, and Directors * Drive technical wins in competitive scenarios by demonstrating Databricks' differentiation through ...

Solutions Architect - Strat Media

Phoenix, AZ ยท On-site

$62.50 - $82.50/hr

Serve as a trusted technical advisor to customer architects, engineering leads, and Directors * Drive technical wins in competitive scenarios by demonstrating Databricks' differentiation through ...

Principal AI Engineer

Phoenix, AZ ยท On-site

$200 - $250/hr

Define data architecture and pipelines using Databricks (Delta Lake, Unity Catalog, MLflow) for ... Collaborate with data engineers, ML engineers, full-stack developers, and product owners to ...

Senior Data Platform Engineer

Tempe, AZ

$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 ...

Senior Data Platform Engineer

Tempe, AZ ยท 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 ...

Data Engineer

Tempe, AZ ยท On-site

$125 - $150/hr

The Data Engineer is responsible for designing, building, optimizing, and maintaining scalable ... Design, build, maintain, and optimize data pipelines using Python, SQL, PySpark, Databricks, and ...

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Databricks Engineer information

See Arizona salary details

$55.4K

$104K

$189.2K

How much do databricks engineer jobs pay per year?

As of Sep 8, 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 90% Full Time, 7% Part Time, and 3% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $104,028 per year, or $50 per hour.

Databricks Engineer

Meraki7 Inc

Phoenix, AZ โ€ข On-site

Other

Posted 17 days ago


Job description

Databricks Engineer

Role Overview

We are seeking a highly skilled Databricks Engineer to lead the design, implementation, and optimization of scalable cloud-based data platforms. This role requires deep expertise in Lakehouse architecture, Databricks, Apache Spark, and Delta Lake, along with proven experience delivering end-to-end enterprise data engineering solutions.

Key Responsibilities

  • Design and deliver end-to-end data engineering pipelines, including batch and real-time streaming solutions.
  • Lead implementation of:
  • Cloud-based data lakehouse platforms integrating diverse data sources.
  • Real-time data processing pipelines for operational and analytical use cases.
  • Develop scalable ETL/ELT pipelines using PySpark, Scala, and SQL.
  • Implement advanced data modeling solutions including 3NF, dimensional modeling, and enterprise data warehousing strategies.
  • Design and build incremental data loading frameworks and metadata-driven ingestion pipelines.
  • Establish data quality frameworks and governance standards.
  • Implement and manage Unity Catalog, including fine-grained security and access controls.
  • Leverage Databricks components such as:
  • Delta Live Tables
  • Autoloader
  • Structured Streaming
  • Databricks Workflows
  • Integration with orchestration tools (e.g., Apache Airflow)
  • Drive CI/CD automation, deployment strategies, and DevOps best practices.
  • Optimize performance of pipelines, Spark jobs, and compute resources.
  • Provide architectural guidance and technical leadership across cross-functional teams.
  • Engage with stakeholders and clients to translate business requirements into scalable technical solutions.

Deep expertise in:

  • Databricks and cloud-native storage/compute platforms
  • Apache Spark (batch & streaming)
  • Delta Lake & Lakehouse architecture
  • Distributed data processing systems
  • Strong hands-on programming skills in Python, PySpark, Scala, and SQL.