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Databricks Jobs in Phoenix, AZ (NOW HIRING)

kestra

Senior Data Platform Engineer

Tempe, AZ

$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 ...

kestra

Senior Data Platform Engineer

Tempe, AZ

$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 ...

Circle K

Data/Information Architect

Tempe, AZ · On-site

$62 - $79.75/hr

Should have performed a similar role & capacity for large transformational engagements. • Hands on development Design and Develop applications using Databricks. Experience with Azure, AWS, or other ...

Confiz Limited

Principal AI Engineer

Phoenix, AZ · On-site

$180 - $230/hr

Define data architecture and pipelines using Databricks (Delta Lake, Unity Catalog, MLflow) for large-scale data processing and model training/serving. * Architect full-stack solutions that integrate ...

Kahala Management LLC

Data Quality Analyst

Scottsdale, AZ · On-site

$100K - $110K/yr

Databricks Platform Responsibilities * Design and implement automated data quality checks within the Databricks environment. * Build and maintain data validation processes using Databricks SQL ...

Kestra Holdings

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 ...

Master Electronics

Data Scientist II

Phoenix, AZ · On-site

Develop scalable data pipelines on Databricks; integrate experimentation and ML systems with modern data and MLOps platforms (Databricks, MLflow); establish CI/CD pipelines, version control, testing ...

Smart Synergies

Data 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 ...

FHR

12-12-R-Solution Architect - 9150

Phoenix, AZ · On-site

$63.25 - $81.50/hr

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

Master Electronics

Data Scientist II

Phoenix, AZ · On-site

$120 - $170/hr

Develop scalable data pipelines on Databricks; integrate experimentation and ML systems with modern data and MLOps platforms (Databricks, MLflow); establish CI/CD pipelines, version control, testing ...

Master-Electronics

Data Scientist II

Phoenix, AZ · On-site

$120 - $160/hr

Develop scalable data pipelines on Databricks; integrate experimentation and ML systems with modern data and MLOps platforms (Databricks, MLflow); establish CI/CD pipelines, version control, testing ...

Master Electronics

Data Scientist II

Phoenix, AZ

Develop scalable data pipelines on Databricks; integrate experimentation and ML systems with modern data and MLOps platforms (Databricks, MLflow); establish CI/CD pipelines, version control, testing ...

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)

Master Electronics

Data Scientist II

Phoenix, AZ · On-site

Develop scalable data pipelines on Databricks; integrate experimentation and ML systems with modern data and MLOps platforms (Databricks, MLflow); establish CI/CD pipelines, version control, testing ...

SmartRent

Data Scientist

Phoenix, AZ · On-site

Work within the Databricks platform: build and manage ML workflows for experiment tracking, Delta Live Tables for feature pipelines, and Unity Catalog for governed access to SmartRent's property and ...

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Showing results 21-40

All JobsDatabricks JobsDatabricks Jobs in Phoenix, AZ

Databricks information

See Phoenix, AZ salary details

$23.3K

$37.4K

$50.6K

How much do databricks jobs pay per year?

As of Aug 9, 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.

Are Databricks in high demand?

Databricks-related roles, such as data engineers and data scientists, are in high demand due to the platform's widespread adoption for big data analytics and machine learning. Skills in Spark, cloud environments, and data pipeline development increase employability in this field.

What are jobs in Databricks?

Jobs in Databricks refer to employment positions that involve working with the Databricks platform, which is used for big data analytics and machine learning. These roles often require skills in data engineering, data science, or software development, and may involve working with tools like Apache Spark and cloud environments. Job responsibilities can include developing data pipelines, analyzing large datasets, and optimizing performance within the Databricks environment.

What is a Databricks?

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.

Is Databricks a good company to work for?

As a company, Databricks is known for its focus on data analytics and cloud-based platforms, offering roles that often require skills in Spark, Python, and cloud services. Employee reviews highlight a collaborative environment and opportunities for growth, but experiences can vary depending on the role and team. Job seekers should consider researching specific positions and company culture to determine fit.

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.

What are the most commonly searched types of Databricks jobs in Phoenix, AZ? The most popular types of Databricks jobs in Phoenix, AZ are:
What are popular job titles related to Databricks jobs in Phoenix, AZ? For Databricks jobs in Phoenix, AZ, the most frequently searched job titles are:
What job categories do people searching Databricks jobs in Phoenix, AZ look for? The top searched job categories for Databricks jobs in Phoenix, AZ are:
What cities near Phoenix, AZ are hiring for Databricks jobs? Cities near Phoenix, AZ with the most Databricks job openings:
Databricks jobs near you
Infographic showing various Databricks job openings in Phoenix, AZ as of August 2026, with employment types broken down into 88% Full Time, 4% Part Time, and 8% Contract. Highlights an 82% Physical, 4% Hybrid, and 14% Remote job distribution, with an average salary of $37,446 per year, or $18 per hour.

Senior Data Platform Engineer

kestra

Tempe, AZ

$109K - $131K/yr

Full-time

Re-posted 4 hours ago

Job description

Lead with Purpose. Partner with Impact. 

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, modernizing cloud-based data ecosystems, and enabling secure, governed data solutions. Strong skills in SQL, Python, PySpark, ETL/ELT frameworks, and experience with Delta Lake, Unity Catalog, and CI/CD automation are essential.

What you’ll Do:

  • Design, build, and optimize large-scale data pipelines on the Databricks Lakehouse platform, ensuring reliability, scalability, and governance.
  • Modernize the Azure-based data ecosystem, contributing to cloud architecture, distributed data engineering, data modeling, security, and CI/CD automation.
  • Utilize Apache Airflow and similar tools for orchestration and workflow automation.
  • Work with financial or regulated datasets, applying strong compliance and governance practices.
  • Develop and optimize ETL/ELT pipelines using Python, PySpark, Spark SQL, and Databricks notebooks.
  • Design and optimize Delta Lake data models for reliability, performance, and scalability.
  • Implement and manage Unity Catalog for RBAC, lineage, governance, and secure data sharing.
  • Build reusable frameworks using Databricks Workflows, Repos, and Delta Live Tables.
  • Create scalable ingestion pipelines for APIs, databases, files, streaming sources, and MDM systems.
  • Automate API ingestion and workflows using Python and REST APIs.
  • Support data governance, lineage, cataloging, and metadata initiatives.
  • Enable downstream consumption for BI, data science, and application workloads.
  • Write optimized SQL/T-SQL queries, stored procedures, and curated datasets for reporting.
  • Automate deployments, DevOps workflows, testing pipelines, and workspace configuration.

 

What You Bring: 

  • 8+ years of experience designing and developing scalable data pipelines in modern data warehousing environments, with full ownership of end-to-end delivery.
  • Expertise in data engineering and data warehousing, consistently delivering enterprise-grade solutions.
  • Proven ability to lead and coordinate data initiatives across cross-functional and matrixed organizations.
  • Advanced proficiency in SQL, Python, and ETL/ELT frameworks, including performance tuning and optimization.
  • Hands-on experience with Azure, Snowflake, and Databricks, and integration with enterprise systems.

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