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Databricks Software Jobs in Arizona (NOW HIRING)

Wells Fargo is seeking a Lead Software Engineer to drive innovation and technical excellence within ... Experience with interactive notebook environments (Jupyter, Zepplin, databricks or similar) for ...

Data Engineer (MedInsight)

Phoenix, AZ · On-site +1

$93K - $177K/yr

This role is ideal for someone with experience in modern data platforms, including Databricks ... software engineering, or a related technical field. * Strong proficiency in SQL and Python, with ...

Data Engineer (MedInsight)

Phoenix, AZ · On-site +1

$93K - $177K/yr

This role is ideal for someone with experience in modern data platforms, including Databricks ... software engineering, or a related technical field. * Strong proficiency in SQL and Python, with ...

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 ...

The ideal candidate will have extensive experience with on-prem SQL servers and cloud-based Azure data infrastructure, including Azure Data Factory, Databricks, and Power BI, to transform and ...

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Senior Data Engineer - Azure & Databricks We are seeking a highly skilled Senior Data Engineer to design, implement, and support advanced analytics and data engineering solutions using Microsoft ...

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 Engineer

Phoenix, AZ · On-site

$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 ...

Data Engineer

Scottsdale, AZ · On-site

$115K - $139K/yr

Experience in conceptual/logical/physical data modeling and expertise in relational and dimensional data modeling Experience with Databricks & on-prem, structured streaming, delta lake concepts, and ...

Data Engineer (DE)

Scottsdale, AZ · On-site

$115K - $139K/yr

... Databricks & on Prem, Structured Streaming, Delta Lake concepts, and Delta Live Tables required • Experience with Spark scala • Data Lake concepts such as time travel and schema evolution and ...

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Showing results 1-20

Databricks Software information

What engineer makes $500,000 a year?

Senior software engineers, especially those working in high-demand fields like data engineering or cloud engineering at top tech companies, can earn $500,000 or more annually through base salary, bonuses, and stock options. Expertise in platforms like Databricks, strong coding skills, and experience in scalable data solutions are often required for such compensation levels.

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.

Is Databricks a high paying company?

As a company specializing in data analytics and cloud-based platforms, Databricks is known to offer competitive salaries for software roles, often above industry averages, especially for positions requiring skills in Spark, Python, and cloud services. Compensation can vary based on experience, location, and role level, but overall, it is considered a high-paying employer in the tech industry.

How much do Databricks employees make?

Salaries for Databricks software roles vary based on experience, location, and specific position, but the average annual salary for software engineers at Databricks typically ranges from $100,000 to $150,000. Compensation may also include bonuses, stock options, and benefits. Entry-level roles tend to start lower, while senior positions and specialized skills can command higher pay.

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 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 exactly are Databricks jobs?

Databricks jobs are automated tasks or workflows scheduled within the Databricks platform to run data processing, analytics, or machine learning tasks. They typically involve configuring job parameters, dependencies, and schedules using the Databricks workspace or APIs to ensure efficient data pipeline execution.

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:
GCP Lead Software Engineer

GCP Lead Software Engineer

Wells Fargo

Chandler, AZ • On-site

Full-time

Posted 21 days ago


Wells Fargo rating

7.8

Company rating: 7.8 out of 10

Based on 686 frontline employees who took The Breakroom Quiz

66th of 141 rated banks


Job description

About this role:

Wells Fargo is seeking a Lead Software Engineer to drive innovation and technical excellence within the CTR space.This role will lead the design and optimization of scalable data platforms using technologies such as Apache Spark. The engineer will ensure robust observability and performance monitoring. They will also oversee workflow orchestration and DevOps practices, enabling efficient collaboration and delivery across teams. Strong partnership with business stakeholders is essential to deliver timely, impactful solutions to complex operational challenges.


In this role, you will:

  • Lead complex technology initiatives including those that are companywide with broad impact
  • Act as a key participant in developing standards and companywide best practices for engineering complex and large-scale technology solutions for technology engineering disciplines
  • Design, develop, and maintain ETL/ELT pipelines. Automate workflows for ingestion, transformation, and loading of data
  • Integrate data from multiple sources into data lakes or warehouses. Ensure optimal storage strategies balancing cost and performance
  • Cleanse, normalize, and enrich raw data for analytics. Implement robust data quality checks and governance frameworks
  • Monitor and optimize data workflows for scalability and efficiency
  • Make decisions in developing standard and companywide best practices for engineering and technology solutions requiring understanding of industry best practices and new technologies, influencing and leading technology team to meet deliverables and drive new initiatives
  • Collaborate and consult with key technical experts, senior technology team, and external industry groups to resolve complex technical issues and achieve goals
  • Lead projects, teams, or serve as a peer mentor

Required Qualifications:

  • 5+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
  • 5+ years of experience building data pipelines on Google Cloud Platform (GCP) using Cloud Dataflow, Cloud Dataproc, Cloud Composer, BigQuery, Cloud Storage (GCS), Pub/Sub, or similar GCP-native frameworks
  • 5+ years of experience with workflow orchestration using Cloud Composer
  • 5+ years of strong development proficiency in SQL and Python for data engineering tasks
  • 2+ years of experience with monitoring and observability using Cloud Monitoring, Grafana, or equivalent tools
  • Solid understanding of data modeling, ETL/ELT processes, and data governance best practices
  • Experience with Data Fusion, Dataplex and Dataprep would be a plus

Desired Qualifications:

  • Extensive hands-on experience with BigQuery, Cloud Storage, Cloud SQL, Cloud Dataflow and Cloud Composer.
  • Experience with performance monitoring and pipeline observability using GCP-native tools or third-party solutions
  • Proficiency with GCP resource management and workload optimization and cost control strategies
  • Familiarity with BigQuery for large-scale analytics and schema evolution
  • Knowledge of data lakehouse patterns using Apache Iceberg or similar technologies
  • Well-versed in PySpark, Pandas, and Polars for data processing
  • Experience using Jira and Confluence for agile workflows
  • Experience with interactive notebook environments (Jupyter, Zepplin, databricks or similar) for data engineering development

Posting End Date:

15 Jun 2026

*Job posting may come down early due to volume of applicants.

We Value Equal Opportunity

Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.

Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit's risk appetite and all risk and compliance program requirements.

Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.

Applicants with Disabilities

To request a medical accommodation during the application or interview process, visitDisability Inclusion at Wells Fargo.

Drug and Alcohol Policy

Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.

Wells Fargo Recruitment and Hiring Requirements:

a. Third-Party recordings are prohibited unless authorized by Wells Fargo.

b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.

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About Wells Fargo

Sourced by ZipRecruiter

Wells Fargo & Company (NYSE: WFC) is a leading financial services company that has approximately $1.9 trillion in assets, proudly serves one in three U.S. households and more than 10% of small businesses in the U.S., and is a leading middle market banking provider in the U.S. We provide a diversified set of banking, investment and mortgage products and services, as well as consumer and commercial finance, through our four reportable operating segments: Consumer Banking and Lending, Commercial Banking, Corporate and Investment Banking, and Wealth & Investment Management. Wells Fargo ranked No. 41 on Fortune's 2022 rankings of America's largest corporations. In the communities we serve, the company focuses its social impact on building a sustainable, inclusive future for all by supporting housing affordability, small business growth, financial health and a low-carbon economy.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

San Francisco, CA, US

Year founded

1852

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