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Databricks Software Jobs in Arizona (NOW HIRING)

Data Engineer

Fountain Hills, AZ

$117K - $140K/yr

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

Data Engineer

Tempe, AZ · On-site

$109K - $131K/yr

Build, troubleshoot, and optimize data pipelines using PySpark , Databricks , SQL , and cloud data services * Design and implement data models optimized for analytics, warehousing, and reporting use ...

Data Engineer

Tempe, AZ · On-site

$109K - $131K/yr

Build, troubleshoot, and optimize data pipelines using PySpark , Databricks , SQL , and cloud data services * Design and implement data models optimized for analytics, warehousing, and reporting use ...

Data Engineer

Tempe, AZ

$111K - $133K/yr

Build, troubleshoot, and optimize data pipelines using PySpark , Databricks , SQL , and cloud data services * Design and implement data models optimized for analytics, warehousing, and reporting use ...

Data Engineer

Tempe, AZ

$109K - $131K/yr

Build, troubleshoot, and optimize data pipelines using PySpark , Databricks , SQL , and cloud data services * Design and implement data models optimized for analytics, warehousing, and reporting use ...

Data Engineer - Remote

Chandler, AZ · On-site

$116K - $140K/yr

Currently, we are looking for entry-level software programmers, Java Full stack developers, Python ... NLP, Text mining, Tableau, PowerBI, Databricks, Tensorflow If you get emails from our job placement ...

Data Engineer

Phoenix, AZ · Hybrid

$113K - $136K/yr

State Farm is in the process of bringing in the Databricks product into our environment, and this team will be responsible for providing services to other teams in the department from Databricks.

New

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 ...

This role plays a critical part in enhancing software quality by embedding quality engineering and ... Design, execute, and maintain tests for backend data pipelines in Databricks, validating ETL ...

Lead Quality Assurance Engineer

Phoenix, AZ · On-site

$128K/yr

This role plays a critical part in enhancing software quality by embedding quality engineering and ... Design, execute, and maintain tests for backend data pipelines in Databricks, validating ETL ...

Lead Quality Assurance Engineer

Phoenix, AZ · On-site

$128K/yr

This role plays a critical part in enhancing software quality by embedding quality engineering and ... Design, execute, and maintain tests for backend data pipelines in Databricks, validating ETL ...

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 ...

... ADLS, Databricks, monitoring services). - Solicit and translate business needs into requirements ... Software Developer, Software Engineer, Programming, Programmer Analyst, Arizona Recruiters ...

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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:
Data Engineer (Digital Wallet)

Data Engineer (Digital Wallet)

Zortech Solutions

Scottsdale, AZ • On-site

$115K - $139K/yr

Other

Posted 10 days ago


Job description

Role: Data Engineer (Digital Wallet)
Location: Scottsdale AZ (hybrid)
Duration: FTE & C2C

Job Description:
Must have : Skillset: Java, Scala, S3, Glue, Python, AWS.
6-8 years of IT experience focusing on enterprise data architecture and management.
• Experience in Conceptual/Logical/Physical Data Modeling & expertise in Relational and Dimensional Data Modeling
• Experience with Databricks & on Prem, Structured Streaming, Delta Lake concepts, and Delta Live Tables required
• Experience with Spark Scala and Java programming
• Data Lake concepts such as time travel and schema evolution and optimization
• Structured Streaming and Delta Live Tables with Databricks as a bonus
• Experience leading and architecting enterprise-wide initiatives specifically system integration, data migration, transformation, data warehouse build, data
mart build, and data lakes implementation/support
• Advanced level understanding of streaming data pipelines and how they differ from batch systems
• Formalize concepts of how to handle late data, defining windows, and data freshness
• Advanced understanding of ETL and ELT and ETL/ELT tools such as Data Migration Service etc
• Understanding of concepts and implementation strategies for different incremental data loads such as tumbling window, sliding window, high watermarks, etc.
• Familiarity and/or expertise with Great Expectations or other data quality/data validation frameworks a bonus
• Familiarity with concepts such as late data, defining windows, and how window definitions impact data freshness
• Advanced level SQL experience (Joins, Aggregation, Windowing functions, Common Table Expressions, RDBMS schema design performance optimization)
• Indexing and partitioning strategy experience
• Debug, troubleshoot, design, and implement solutions to complex technical issues
• Experience with large-scale, high-performance enterprise big data application deployment and solution
• Architecture experience in AWS environment a bonus
• Familiarity working with Lambda specifically with how to push and pull data, how to use AWS tools to view data for processing massive data at scale a bonus
• Experience with Gitlabs and CloudWatch and ability to write and maintain Gitlabs for supporting CI/CD pipelines
• Experience working with AWS Lambdas for configuration and optimization and experience with S3
• Familiarity with Schema Registry, and message formats such as Avro, ORC, etc.
• Ability to thrive in a team-based environment
• Experience briefing the benefits and constraints of technology solutions to technology partners, stakeholders, team members, and senior-level of management

ZorTech logo

About ZorTech

Sourced by ZipRecruiter

The Zor Group is a globally operating conglomerate spanning multiple industries across four countries. Established in 2009 with a mission to make a positive impact, Zor initially began as a staffing organization and naturally evolved into the technology sector. In 2018, ZorTech was introduced through a strategic partnership with the Sunwill Group. Plans for international expansion were initiated in 2020, leading to successful entry into the US market. Alongside an impressive 70% year-over-year growth rate, we also established an offshore delivery team in the USA. With the incorporation of IT Services, ZorTech now offers end-to-end solutions, ranging from top-level talent sourcing to managing large-scale projects. Our organization currently operates in four countries, including Canada, the USA, the Dominican Republic, and India.

Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

Houston , TX, US

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