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Databricks Software Jobs in Arizona (NOW HIRING)

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

Full Stack Application Developer

Arizona City, AZ · On-site

$100 - $125/hr

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 ...

Koantek

Full Stack Application Developer

Mesa, AZ · On-site

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 ...

Koantek

Full Stack Application Developer

Mesa, AZ · Remote

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 ...

Dutchbros

Lead Engineer, Data Platforms

Tempe, AZ · On-site +1

$111K - $133K/yr

Bachelor's degree in Computer Science, Software Engineering, Information Technology, or related ... Successfully develop and deploy production-grade data solutions on Snowflake, databricks or similar ...

UnitedHealth Group

Lead Engineer, Data Platforms

Tempe, AZ · On-site +1

$111K - $133K/yr

Bachelor's degree in Computer Science, Software Engineering, Information Technology, or related ... Successfully develop and deploy production-grade data solutions on Snowflake, databricks or similar ...

Dutch Bros LLC

Lead Engineer, Data Platforms

Tempe, AZ · On-site +1

$111K - $133K/yr

Bachelor's degree in Computer Science, Software Engineering, Information Technology, or related ... Successfully develop and deploy production-grade data solutions on Snowflake, databricks or similar ...

Kestra Holdings

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 ...

Confiz Limited

Principal AI Engineer

Phoenix, AZ · On-site

$200 - $250/hr

Define data architecture and pipelines using Databricks (Delta Lake, Unity Catalog, MLflow) for ... Requirements * 10+ years in software/solution architecture, with 4+ years specifically in AI/ML ...

REPAY Company

Data Engineer

Tempe, AZ · On-site

$125 - $150/hr

Design, build, maintain, and optimize data pipelines using Python, SQL, PySpark, Databricks, and AWS‑based data services. * Develop ETL/ELT processes that support data warehousing, analytics ...

New

Kahala Brands, Ltd.

Data Quality Analyst

Scottsdale, AZ · On-site

$100 - $125/hr

... of the software development lifecycle (SDLC). Key responsibilities include areas such as API ... Databricks Platform Responsibilities * Design and implement automated data quality checks within ...

Kahala Management LLC

Data Quality Analyst

Scottsdale, AZ · On-site

$100K - $110K/yr

... of the software development lifecycle (SDLC). Key responsibilities include areas such as API ... Databricks Platform Responsibilities * Design and implement automated data quality checks within ...

Master Electronics

Data Scientist II

Phoenix, AZ · On-site

... Databricks, MLflow); establish CI/CD pipelines, version control, testing, and monitoring to ensure model quality and reliability * Partner with software engineers, data engineers, product managers ...

CYNET SYSTEMS

Application Developer

Glendale, AZ · On-site

$44 - $57/hr

Bachelor's degree in computer science or related field. * 4-7 years of software development ... Contribute to Azure Databricks data pipeline development and enhancements (PySpark, Spark SQL ...

CYNET SYSTEMS

Application Developer

Glendale, AZ · On-site

$44 - $57/hr

Bachelor's degree in computer science or related field. * 4-7 years of software development ... Contribute to Azure Databricks data pipeline development and enhancements (PySpark, Spark SQL ...

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Databricks Software information

What is Databricks software?

Databricks Software is a unified analytics platform built on Apache Spark that provides tools for big data processing, machine learning, and collaborative data science. It enables organizations to store, manage, and analyze large datasets efficiently, supporting both batch and streaming data workloads. Databricks also offers collaborative notebooks, automated workflows, and integrations with cloud storage and data lakes, making it a popular choice for data engineering, data science, and business analytics teams.

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

To thrive as a Databricks Software Engineer, you need strong programming skills in languages like Python, Scala, or Java, as well as a solid understanding of distributed computing and data engineering concepts. Familiarity with Databricks platform, Apache Spark, cloud services (such as AWS or Azure), and relevant certifications like Databricks Certified Data Engineer are highly valued. Excellent problem-solving abilities, collaboration, and effective communication are important soft skills for this role. These skills ensure efficient development, deployment, and optimization of big data solutions that drive business insights and innovation.

What are some common challenges faced by Databricks software engineers, and how can they be overcome?

Databricks Software Engineers often encounter challenges related to scaling big data pipelines, optimizing Spark workloads, and integrating diverse data sources. Navigating the complexity of distributed systems and managing cloud infrastructure can be demanding, especially when ensuring data reliability and security. To overcome these challenges, engineers typically collaborate closely with data scientists, DevOps, and platform teams, leverage Databricks' extensive documentation and community support, and adopt best practices such as version control and continuous integration. Regular knowledge sharing and staying updated with new features also help engineers succeed in this dynamic environment.

What is the difference between Databricks Software vs Data Engineer?

AspectDatabricks SoftwareData Engineer
Primary RolePlatform for data analytics and machine learningBuilds, maintains data pipelines and infrastructure
Required SkillsSQL, Spark, cloud platforms, data science basicsSQL, ETL, programming (Python, Scala), database management
Work EnvironmentCloud-based, collaborative data platformData teams, cloud or on-premises environments
CertificationsDatabricks certifications, cloud certificationsNone specific, often cloud or data certifications

While Databricks Software provides a platform for data analytics and machine learning, Data Engineers focus on building and maintaining data pipelines and infrastructure. Both roles often work together but have distinct responsibilities and skill sets within the data ecosystem.

What are popular job titles related to Databricks Software jobs in Arizona?

For Databricks Software jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Databricks Software jobs in Arizona look for?

The top searched job categories for Databricks Software jobs in Arizona are:

What cities in Arizona are hiring for Databricks Software jobs?

Cities in Arizona with the most Databricks Software job openings:

Databricks Software jobs near you

Senior Data Platform Engineer

Tempe, AZ • On-site

kestra
See more jobs at kestraexternal

$109K - $131K/yr

Full-time

Re-posted yesterday

Job description

Lead with Purpose. Partner with Impact. 

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, modernizing cloud-based data ecosystems, and enabling secure, governed data solutions. Strong skills in SQL, Python, PySpark, ETL/ELT frameworks, and experience with Delta Lake, Unity Catalog, and CI/CD automation are essential.

What you’ll Do:

  • Design, build, and optimize large-scale data pipelines on the Databricks Lakehouse platform, ensuring reliability, scalability, and governance.
  • Modernize the Azure-based data ecosystem, contributing to cloud architecture, distributed data engineering, data modeling, security, and CI/CD automation.
  • Utilize Apache Airflow and similar tools for orchestration and workflow automation.
  • Work with financial or regulated datasets, applying strong compliance and governance practices.
  • Develop and optimize ETL/ELT pipelines using Python, PySpark, Spark SQL, and Databricks notebooks.
  • Design and optimize Delta Lake data models for reliability, performance, and scalability.
  • Implement and manage Unity Catalog for RBAC, lineage, governance, and secure data sharing.
  • Build reusable frameworks using Databricks Workflows, Repos, and Delta Live Tables.
  • Create scalable ingestion pipelines for APIs, databases, files, streaming sources, and MDM systems.
  • Automate API ingestion and workflows using Python and REST APIs.
  • Support data governance, lineage, cataloging, and metadata initiatives.
  • Enable downstream consumption for BI, data science, and application workloads.
  • Write optimized SQL/T-SQL queries, stored procedures, and curated datasets for reporting.
  • Automate deployments, DevOps workflows, testing pipelines, and workspace configuration.

 

What You Bring: 

  • 8+ years of experience designing and developing scalable data pipelines in modern data warehousing environments, with full ownership of end-to-end delivery.
  • Expertise in data engineering and data warehousing, consistently delivering enterprise-grade solutions.
  • Proven ability to lead and coordinate data initiatives across cross-functional and matrixed organizations.
  • Advanced proficiency in SQL, Python, and ETL/ELT frameworks, including performance tuning and optimization.
  • Hands-on experience with Azure, Snowflake, and Databricks, and integration with enterprise systems.

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