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Databricks Jobs in Phoenix, AZ (NOW HIRING)

Kestra Holdings

Senior Data Platform Engineer

Tempe, AZ · On-site

$109.70K - $131.70K/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 ...

Cynet Systems

Software Engineering Lead

Glendale, AZ · On-site

Design and implement scalable and efficient data architectures leveraging Azure Data Lake and Databricks. * Define and enforce best practices for data ingestion, storage, processing, and retrieval.

Cynet Systems

Software Engineering Lead

Glendale, AZ · On-site

Design and implement scalable and efficient data architectures leveraging Azure Data Lake and Databricks. * Define and enforce best practices for data ingestion, storage, processing, and retrieval.

Cuboid IT Solutions

Senior Data Engineer

Phoenix, AZ · On-site

$105.20K - $143K/yr

Design technical solutions for data pipelines leveraging technologies like Databricks and Snowflake to achieve optimal performance. Qualifications - 5+ years of experience working as a data engineer ...

Smart Synergies

Data Engineering Lead

Glendale, AZ

The ideal candidate will possess deep architectural knowledge of Azure Data Lake and Databricks, a solid understanding of security concepts within Azure, and a proven track record of leading teams in ...

FHR

12-12-R-Solution Architect - 9150

Phoenix, AZ · On-site

$63.25 - $81.50/hr

Key Responsibilities • Design scalable data lake and data architectures using Databricks and cloud-native services. • Develop metadata-driven, parameterized ingestion frameworks and multi-layer ...

Navtech

Big Data Engineer with Java

Phoenix, AZ · Remote

$55.25 - $73.25/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)

Smart Synergies

Software Engineering Lead

Glendale, AZ · On-site

The ideal candidate will possess deep architectural knowledge of Azure Data Lake and Databricks, a solid understanding of security concepts within Azure, and a proven track record of leading teams in ...

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)

Microchip Technology

Senior Engineer

Chandler, AZ · On-site

$102.90K - $141.30K/yr

Setup data catalog, execute and monitor data and ML workloads using Databricks * On-board data product owners to Data Universe platform * Support AWS-based lakehouse architectures, primarily using ...

InterSources

Data Engineer

Phoenix, AZ · On-site

$113.70K - $136.50K/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 ...

Tekwissen

Software Engineering Lead

Glendale, AZ · On-site

The ideal candidate will possess deep architectural knowledge of Azure Data Lake and Databricks, a solid understanding of security concepts within Azure, and a proven track record of leading teams in ...

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Databricks information

See Phoenix, AZ salary details

$23.3K

$37.4K

$50.6K

How much do databricks jobs pay per year?

As of May 28, 2026, the average yearly pay for databricks in Phoenix, AZ is $37,446.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,300.00 and $41,200.00 per year, depending on experience, location, and employer.

What is a Databricks job?

A Databricks job is a way to run an automated workload, such as a data pipeline, machine learning model training, or ETL task, on the Databricks platform. Jobs can be scheduled, triggered manually, or run as part of a workflow. They support different task types, including notebooks, Python scripts, JARs, and SQL queries. Databricks jobs also allow for dependency management and orchestration across multiple tasks within a workflow.

What are the key skills and qualifications needed to thrive in the Databricks position, and why are they important?

To thrive in a Databricks role, you need strong programming skills in languages such as Python or Scala, a deep understanding of data engineering or data science principles, and typically a relevant degree in computer science or a related field. Experience with Apache Spark, cloud platforms like Azure or AWS, and Databricks-specific certifications are often highly valued. Exceptional problem-solving, communication, and collaboration skills help professionals excel within multidisciplinary data teams. These capabilities are crucial for successfully designing, developing, and optimizing large-scale data solutions in a fast-evolving analytics environment.

What are the typical daily responsibilities of someone working in a Databricks role?

Professionals in Databricks roles typically spend their days developing and maintaining data pipelines, analyzing large datasets, and collaborating with business stakeholders to translate requirements into scalable solutions. They often use tools such as Apache Spark and cloud platforms to design and optimize workflows, while troubleshooting data quality or performance issues that arise. Regular teamwork with data engineers, analysts, and software developers is common, as is participating in sprint planning or code review sessions. Overall, the role combines hands-on technical work with ongoing collaboration to ensure data-driven insights and infrastructure reliability.

Does Databricks pay more than Google?

As a data platform company, Databricks generally offers competitive salaries that can be comparable to or slightly lower than Google's, depending on the role, location, and experience level. Google is known for high compensation packages, especially for engineering and technical roles, often including bonuses and stock options, while Databricks also provides attractive pay and benefits for data engineers, data scientists, and software engineers. Salary differences depend on specific job functions, seniority, and geographic location.
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Databricks jobs near you

Azure Data Engineer with Azure event hub

Texas State Library and Archives Commision

Phoenix, AZ • On-site

$54.50 - $67.75/hr

Other

This job post has expired today. Applications are no longer accepted.

Job description

• 9 - 10 years of experience in Azure Data Factory, Databricks, dbt. • Proven development experience in building complex data pipeline for lakehouse/data warehouses using Agile methodology. • ADF, Databricks, dbt, Azure Cloud Services, MS SQL Server ADW/DB, Python, Pyspark, Devops.

• Should have thorough understanding of Data-lakes, raw/enriched/curated layer concepts and ETL within Azure framework. • Highly skilled in end-to-end Data warehousing and BI (analytics) design / development. • Create Design, Functional/Technical specification documentations or any artifacts needed

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