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Databricks Software 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 ...

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 ...

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 ...

New

Senior Data Platform Engineer

Tempe, AZ · On-site

$109K - $131K/yr

  • Medical

  • Retirement

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 ...

Principal AI Engineer

Phoenix, AZ · On-site

$180 - $230/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 ...

Data Quality Analyst

Scottsdale, AZ · On-site

$100 - $110/hr

  • Medical

  • Vision

  • Life

  • Retirement

  • PTO

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

Data Quality Analyst

Scottsdale, AZ · On-site

$100K - $110K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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

Data Scientist II

Phoenix, AZ · On-site

  • Medical

  • Life

  • Retirement

  • PTO

... 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 ...

Data Scientist II

Phoenix, AZ · On-site

$120 - $170/hr

  • Medical

  • Life

  • Retirement

  • PTO

... 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 ...

Big Data Engineer with Java

Phoenix, AZ · On-site

$54.25 - $71.75/hr

Hadoop echo system, Spark, Databricks, and Azure-based services * Experience with medium to large scale data structures/data lakes * Experience with both Streaming and Batch Data Ingestion (Lambda)

Data Scientist II

Phoenix, AZ

  • Medical

  • Life

  • Retirement

  • PTO

... 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 ...

Data Scientist II

Phoenix, AZ · On-site

  • Medical

  • Life

  • Retirement

  • PTO

... 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 ...

Data Engineer

Phoenix, AZ

$113K - $136K/yr

Databricks Nice to have: Informatica/ETL. Responsibilities * Design and develop ETL processes based ... Understand and adopt an Agile (SCRUM like) software development mindset * Follow established ...

Showing results 21-40

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 cities in Arizona are hiring for Databricks Software jobs?

Cities in Arizona with the most Databricks Software job openings:

Full Stack Application Developer

Koantek

Mesa, AZ • On-site

Contractor

Posted 5 days ago


Job description


Job Title: Full Stack Application Developer
Location: Remote-USA
Employment Type: Contract
Department: Engineering
Role Overview
Koantek is seeking multiple experienced Full Stack Application Developer to design and build modern, production-ready applications and user experiences. This role requires strong hands-on experience developing Single Page Applications (SPAs), building scalable backend services and APIs, and working with relational databases.
The ideal candidate combines strong application engineering fundamentals with a bias toward action, excellent communication skills, and technical leadership. 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 Single Page Applications (SPAs) using frameworks such as React, Angular, or similar technologies.
  • Build intuitive, responsive, and maintainable front-end experiences using modern JavaScript/TypeScript development practices.
Backend, APIs & Databases
  • Develop scalable backend services and REST APIs using frameworks such as FastAPI, Flask, Node.js, or similar technologies.
  • Design and integrate applications with relational databases, with a strong emphasis on PostgreSQL.
  • Build end-to-end application functionality spanning front-end, backend, APIs, authentication, and data layers.
Architecture & Collaboration
  • Collaborate with data engineers, platform engineers, architects, product stakeholders, and customers to translate business requirements into working applications.
  • Develop applications and user experiences that integrate seamlessly with data and analytics platforms.
  • Drive technical decisions, produce clean, well-tested code, and contribute to engineering standards and best practices.
  • Take full ownership of deliverables, moving projects from initial concept through production deployment.
⚙ Qualifications
Must-Have Qualifications
  • Full-Stack Expertise: Strong professional experience in full-stack application development.
  • Front-End Proficiency: Demonstrated experience designing/building production SPAs using React, Angular, or equivalent alongside JavaScript and TypeScript.
  • Backend & API Mastery: Hands-on experience building backend services and REST APIs using FastAPI, Flask, Node.js, or equivalent frameworks.
  • Database Experience: Strong experience with relational database design, queries, performance optimization, and integration (PostgreSQL preferred).
  • Modern Architecture: Solid understanding of modern web architecture, API integration, authentication, security, testing, and deployment practices.
  • Autonomy: Ability to independently take a feature or application from concept through production delivery.
Nice-to-Have Qualifications
  • Experience developing and deploying Databricks Apps or working with the Databricks Data Intelligence Platform.
  • Familiarity integrating applications with custom Databricks APIs, SQL Warehouses, Unity Catalog, Databricks SQL, Delta Lake, or Lakehouse architectures.
  • Experience building data-intensive or analytics-focused web applications.
  • Cloud application development experience with AWS, Azure, or GCP.
  • Experience with containers,