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Databricks Software Jobs in Arizona (NOW HIRING)

Navtech, Inc.

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)

Boeing

Senior DevOps Developer

Mesa, AZ · On-site

$129K - $165K/yr

... software applications. As a DevOps Developer you are required to design, implement, and manage ... Designing & developing reusable IaC modules for deploying Kubernetes, Databricks, Snowflake and ...

Forhyre

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 ...

Ultra Clean Technology

Data Scientist

Phoenix, AZ · On-site

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

QuantumClean

Data Scientist

Phoenix, AZ · On-site

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 ...

Dutch Bros. Coffee

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 ...

UCT Alumni Association

Data Scientist

Phoenix, AZ · On-site

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 ...

Next Step Systems

BI Architect

Phoenix, AZ · On-site

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

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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 large tech companies, can earn $500,000 or more annually. These roles often require extensive experience, advanced skills in programming and cloud platforms, and may include bonuses or stock options that contribute to total compensation.

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.

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. Senior roles and specialized skills in data engineering or cloud platforms can command higher compensation. Benefits often include stock options, bonuses, and professional development opportunities.

Is Databricks a high paying job?

Working as a Databricks software engineer or data scientist typically offers above-average salaries compared to other tech roles, reflecting the specialized skills in cloud platforms, big data, and Spark. Compensation varies based on experience, location, and certifications, but generally includes competitive base pay, bonuses, and stock options. These roles often require knowledge of programming languages like Python or Scala and familiarity with cloud environments such as AWS or Azure.

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 that run on the Databricks platform, typically involving data processing, machine learning, or analytics tasks. They can be scheduled, monitored, and managed through the Databricks workspace, requiring knowledge of Spark, SQL, or Python scripting. Job roles often involve configuring clusters and ensuring efficient execution of data pipelines.

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
Big Data Engineer with Java

Big Data Engineer with Java

Navtech, Inc.

Phoenix, AZ • On-site

$54.25 - $71.75/hr

Contractor

Posted 18 days ago

Job description

Big Data Engineer with Java
Location: Remote
Duration: 12 Months Contract
Qualifications:
  • Bachelor's Degree in a Technical Discipline or equivalent work experience
  • Must have experience with Big Data toolsets: 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)
  • Experience with Java
  • Must have experience in Streaming technologies (Kafka, Spark structured streaming, Databricks)
  • Must have a minimum of 5 years of overall Technology experience with at least 2 years of Big Data (Hadoop, Spark, and Azure HDInsights) experience
  • Experience working with data preparation and data quality

Responsibilities:
  • The Data Engineer II is responsible for partnering with business unit leaders within NCR to analyze, design, and deliver data products that enable NCR's business
  • You will evaluate business questions, find the right data sets, ensure the cleanliness of the data, and build scalable and clean solutions that can be deployed in a production environment
  • Along the way, you'll partner with our Azure Infrastructure, Visualization, Advanced Analytics, and Engineering teams to consistently deliver quality data products
Navtech logo

About Navtech

Sourced by ZipRecruiter

Industry

Civil engineering construction

Company size

11 - 50 Employees

Headquarters location

New Bloomfield, PA, US

Year founded

1996

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