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Databricks Jobs in Phoenix, AZ (NOW HIRING)

Meraki7 Inc

Databricks Engineer

Phoenix, AZ · On-site

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 ...

Koantek

Databricks Platform Architect

Chandler, AZ · Remote

The ideal candidate will have extensive experience in high-throughput distributed systems, Databricks compute optimization, performance tuning, and complex pipeline orchestration. Key ...

Koantek

Databricks Platform Architect

Chandler, AZ · On-site

The ideal candidate will have extensive experience in high-throughput distributed systems, Databricks compute optimization, performance tuning, and complex pipeline orchestration. Key ...

Inherent Technologies

Azure Databricks Architect

Chandler, AZ · Remote

$65 - $84.75/hr

Azure Databricks Architect Location: Minneapolis/Remote 12+ years of Data Solutions Design/Development Experience with at-least 2+ years working as Lead Data Architect for a medium to large sized ...

Visa Hunt

Solutions Architect - Retail

Phoenix, AZ · On-site

$180 - $248/hr

Align technical strategies around Databricks solutions * You will provide structured mentorship for other team members What we look for: * 5+ years of experience working very large (> $1m ARR), from ...

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 ...

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 ...

Koantek

Resource Manager

Chandler, AZ · On-site

Analyze Databricks job roles and propose qualified consultants by comparing technical competencies and availability. Relationship Management: Actively build and serve as the primary point of contact ...

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 ...

Koantek

Resource Manager

Chandler, AZ · Remote

Analyze Databricks job roles and propose qualified consultants by comparing technical competencies and availability. Relationship Management: Actively build and serve as the primary point of contact ...

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Databricks information

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$23.3K

$37.4K

$50.6K

How much do databricks jobs pay per year?

As of Aug 26, 2026, the average yearly pay for databricks in Phoenix, AZ is $37,446.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,300.00 and $41,200.00 per year, depending on experience, location, and employer.

What is a Databricks?

A Databricks job is a way to run an automated workload, such as a data pipeline, machine learning model training, or ETL task, on the Databricks platform. Jobs can be scheduled, triggered manually, or run as part of a workflow. They support different task types, including notebooks, Python scripts, JARs, and SQL queries. Databricks jobs also allow for dependency management and orchestration across multiple tasks within a workflow.

What are the typical daily responsibilities of someone working in a Databricks role?

Professionals in Databricks roles typically spend their days developing and maintaining data pipelines, analyzing large datasets, and collaborating with business stakeholders to translate requirements into scalable solutions. They often use tools such as Apache Spark and cloud platforms to design and optimize workflows, while troubleshooting data quality or performance issues that arise. Regular teamwork with data engineers, analysts, and software developers is common, as is participating in sprint planning or code review sessions. Overall, the role combines hands-on technical work with ongoing collaboration to ensure data-driven insights and infrastructure reliability.

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

To thrive in a Databricks role, you need strong programming skills in languages such as Python or Scala, a deep understanding of data engineering or data science principles, and typically a relevant degree in computer science or a related field. Experience with Apache Spark, cloud platforms like Azure or AWS, and Databricks-specific certifications are often highly valued. Exceptional problem-solving, communication, and collaboration skills help professionals excel within multidisciplinary data teams. These capabilities are crucial for successfully designing, developing, and optimizing large-scale data solutions in a fast-evolving analytics environment.

Are Databricks in high demand?

Databricks-related roles, such as data engineers and data scientists, are in high demand due to the platform's widespread adoption for big data analytics and machine learning. Skills in Spark, cloud environments, and data pipeline development increase employability in this field.

Does Databricks hire remote employees?

Databricks offers remote work opportunities for certain roles, especially those related to software engineering, data science, and cloud infrastructure. The availability of remote positions depends on the specific job and team requirements, and candidates should review individual job postings for location details.

Is Databricks a good company to work for?

As a company, Databricks is known for its focus on data analytics and cloud-based platforms, offering roles that involve working with tools like Apache Spark and machine learning. Employee reviews often cite a collaborative environment and opportunities for skill development, though experiences can vary by role and location.

What are jobs in Databricks?

Jobs in Databricks refer to roles that involve developing, managing, and optimizing data workflows using the Databricks platform, which is built on Apache Spark. These positions often require skills in data engineering, data science, or machine learning, and may involve working with cloud environments, SQL, and programming languages like Python or Scala.

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

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

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

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

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

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

What cities near Phoenix, AZ are hiring for Databricks jobs?

Cities near Phoenix, AZ with the most Databricks job openings:

Databricks jobs near you
Infographic showing various Databricks job openings in Phoenix, AZ as of August 2026, with employment types broken down into 90% Full Time, 4% Part Time, and 6% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $37,446 per year, or $18 per hour.

Databricks Engineer

Meraki7 Inc

Phoenix, AZ • On-site

Other

Posted 4 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.

Apply