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Databricks Software Jobs in Arizona (NOW HIRING)

Software engineering fundamentals -- version control, code review, CI/CD * ETL and orchestration ... Databricks preferred * Product mindset -- builds for the next user, not just the requester ...

Software engineering fundamentals -- version control, code review, CI/CD * ETL and orchestration ... Databricks preferred * Product mindset -- builds for the next user, not just the requester ...

... for software development (Github Copilot or similar), as well as Agent development in Copilot ... Databricks, Unity Catalog. • Experience developing classifier models (Random Forest, KNN ...

Senior Data Engineer - Work From Home

Phoenix, AZ · On-site +1

$105K - $143K/yr

  • Medical

  • Retirement

  • PTO

... Software Engineering, Business Intelligence and/or Data Science. - Excellent quantitative skills. - Expertise in cloud-based and data technologies i.e., Snowflake, Databricks, Redshift, big Query ...

AI Engineer

Phoenix, AZ · On-site

$50K - $112K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Within our Internal Firm Services practice, you will apply data, algorithms, and software ... Microsoft Azure, Databricks, Snowflake, or related data and AI credentials - Building and ...

The role leverages enterprise analytics platforms including Databricks and Microsoft Copilot Studio ... for software development (Github Copilot or similar), as well as Agent development in Copilot ...

... Databricks. • Experience using enterprise data modeling tools and software. • Strong understanding of data modeling methodologies and best practices. • Excellent stakeholder management ...

Lead Engineer, Data Platforms

Tempe, AZ · On-site

$99K - $131K/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 ...

The role leverages enterprise analytics platforms including Databricks and Microsoft Copilot Studio ... for software development (Github Copilot or similar), as well as Agent development in Copilot ...

The role leverages enterprise analytics platforms including Databricks and Microsoft Copilot Studio ... for software development (Github Copilot or similar), as well as Agent development in Copilot ...

Showing results 41-60

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-time

Posted 12 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 Build and maintain Finance application, analytics, and automation use-cases by applying AI-augmented development as part of standard delivery

RESPONSIBILITIES

  • Build and scale reusable data products that serve repeat demand across portfolios
  • Apply AI-assisted development to code, testing, documentation, and workflow automation
  • Design and operate production ETL -- ingestion, cleansing, rationalization, scheduling, monitoring
  • Support credit risk model work, particularly IFRS 9 ECL validation and data lineage
  • Translate business needs from Finance into technical solutions and actionable recommendations

ESSENTIAL SKILLS

  • Python and SQL at production grade -- modular code, testing, error handling
  • Software engineering fundamentals -- version control, code review, CI/CD
  • ETL and orchestration experience at production scale
  • Demonstrated AI-assisted delivery -- not just tool familiarity
  • Depth in one cloud data platform; Databricks preferred
  • Product mindset -- builds for the next user, not just the requester; documentation and handover as default

STRONG ADVANTAGE

  • Credit risk domain -- portfolio behaviour, collections, provisioning, IFRS 9 ECL
  • Telco or regulated financial services delivery
  • Platform administration across AWS, GCP, or Databricks
  • Responsible AI practice -- data classification, redaction boundaries, model governance

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.