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Databricks Data Engineer Jobs in Phoenix, AZ (NOW HIRING)

Sr Databricks Data Engineer

Tempe, AZ · On-site

$111.40K - $133.70K/yr

As a Sr Consultant - Databricks Data Engineer, you will design, build, and optimize scalable data engineering solutions using Databricks across various cloud environments. Responsibilities : • Lead ...

Sr Databricks Data Engineer

Tempe, AZ · On-site

$100.10K - $137.40K/yr

As a Senior Consultant - Databricks Engineer in our AI & Data practice, you will design, build, and optimize cloud-based data engineering solutions that support large-scale transformation. You will ...

Senior Data Platform Engineer

Tempe, AZ

$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 ...

Senior Data Platform Engineer

Tempe, AZ

$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 ...

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 ...

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 ...

... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies that meet the current and future business needs - Developing and documenting data ...

... Architect, Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and documenting data models and data flow diagrams ...

Data Engineer

Tempe, AZ

$109.70K - $131.70K/yr

Build, troubleshoot, and optimize data pipelines using PySpark , Databricks , SQL , and cloud data ... Collaborate with Product, BI, Engineering, and Data Analytics teams to support reliable reporting ...

Data Engineer

Tempe, AZ

$109.70K - $131.70K/yr

Build, troubleshoot, and optimize data pipelines using PySpark , Databricks , SQL , and cloud data ... Collaborate with Product, BI, Engineering, and Data Analytics teams to support reliable reporting ...

Data Engineer

Tempe, AZ · On-site

$109.70K - $131.70K/yr

Build, troubleshoot, and optimize data pipelines using PySpark , Databricks , SQL , and cloud data ... Collaborate with Product, BI, Engineering, and Data Analytics teams to support reliable reporting ...

Data Engineer

Tempe, AZ · On-site

$111.40K - $133.80K/yr

Build, troubleshoot, and optimize data pipelines using PySpark , Databricks , SQL , and cloud data ... Collaborate with Product, BI, Engineering, and Data Analytics teams to support reliable reporting ...

... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and documenting data models, data flow diagrams, and data architecture ...

Data Engineer

Phoenix, AZ

$113.70K - $136.50K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... Data pipeline tooling and cloud data services experience (Azure Data Factory, Azure Databricks ...

Senior Data Engineer

Phoenix, AZ · On-site

$105.20K - $143K/yr

Airflow, Spark, Databricks * Data modeling, schema design, and optimization for AI workloads * Programming: Python, SQL * Version control: Git/GitHub/GitLab * Data governance, metadata management ...

Data Engineer

Scottsdale, AZ · On-site

$115.80K - $139.10K/yr

... with Databricks & on-prem, structured streaming, delta lake concepts, and delta live tables ... Scala and Java programming Data lake concepts such as time travel and schema evolution and ...

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Databricks Data Engineer information

See Phoenix, AZ salary details

$44.3K

$129.3K

$176.9K

How much do databricks data engineer jobs pay per year?

As of May 28, 2026, the average yearly pay for databricks data engineer in Phoenix, AZ is $129,254.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,100.00 and $137,000.00 per year, depending on experience, location, and employer.

What is a Databricks Data Engineer job?

A Databricks Data Engineer is responsible for designing, building, and maintaining scalable data pipelines on the Databricks platform. They work with Apache Spark, Delta Lake, and cloud services to process large datasets efficiently. Their role involves data ingestion, transformation, optimization, and ensuring data quality for analytics and machine learning. Additionally, they collaborate with data scientists, analysts, and business teams to deliver reliable data solutions.

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

To thrive as a Databricks Data Engineer, you need strong expertise in data engineering concepts, big data processing, and programming languages such as Python, Scala, or SQL, often supported by a degree in computer science or a related field. Proficiency in Databricks, Apache Spark, cloud platforms (like AWS, Azure, or GCP), and relevant certifications such as Databricks Certified Data Engineer are highly valued. Effective problem-solving, collaboration, and clear communication skills help engineers work efficiently within cross-functional teams. These skills are essential for designing scalable data pipelines, ensuring data quality, and delivering actionable analytics in dynamic business environments.

What does a typical day look like for a Databricks Data Engineer?

A typical day for a Databricks Data Engineer involves developing and maintaining scalable data pipelines, optimizing big data workflows using Spark, and collaborating with data scientists, analysts, and other engineers. You will regularly work within cloud environments to manage and process large datasets, conduct troubleshooting, and ensure data reliability and performance. Daily tasks may also include writing code, participating in team meetings, and implementing best practices for data security and governance. This role is highly collaborative, requiring frequent communication to align on project goals and address any technical challenges. The dynamic, project-based structure helps expand your skills and offers growth opportunities into senior engineering or data architecture roles.
What are the most commonly searched types of Databricks Data Engineer jobs in Phoenix, AZ? The most popular types of Databricks Data Engineer jobs in Phoenix, AZ are:
What are popular job titles related to Databricks Data Engineer jobs in Phoenix, AZ? For Databricks Data Engineer jobs in Phoenix, AZ, the most frequently searched job titles are:
What job categories do people searching Databricks Data Engineer jobs in Phoenix, AZ look for? The top searched job categories for Databricks Data Engineer jobs in Phoenix, AZ are:
Infographic showing various Databricks Data Engineer job openings in Phoenix, AZ as of May 2026, with employment types broken down into 91% Full Time, 4% Part Time, 1% Temporary, and 4% Contract. Highlights an 59% Physical, and 41% Remote job distribution, with an average salary of $129,254 per year, or $62.1 per hour.
Sr Databricks Data Engineer

Sr Databricks Data Engineer

Deloitte

Tempe, AZ • On-site

$111.40K - $133.70K/yr

Full-time

Posted 6 days ago


Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

60th of 138 rated financial services


Job description

Job Summary:
Deloitte is a leading professional services firm that helps clients leverage modern data platforms for analytics and business transformation. As a Sr Consultant - Databricks Data Engineer, you will design, build, and optimize scalable data engineering solutions using Databricks across various cloud environments.
Responsibilities:
• Lead the design and implementation of enterprise data pipelines, data models, and cloud-based data architectures using Databricks
• Build and optimize batch and streaming data solutions that support analytics, reporting, and operational use cases
• Advise stakeholders on platform capabilities, architecture decisions, governance controls, and delivery approaches aligned to business objectives
• Drive engineering quality through automation, continuous integration/continuous deployment (CI/CD), performance tuning, and scalable delivery practices
• Contribute to technical best practices, evaluate emerging platform capabilities, and support teams delivering modern data engineering solutions
Qualifications:
Required:
• Bachelor's degree in Computer Science, Engineering, or a related field and 1+ years of experience leading cross-functional data engineering projects or technical teams
• 5+ years of experience in data engineering with a focus on Databricks deployed on Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP)
• 5+ years of experience with Apache Spark, Delta Lake, Lakehouse architecture, and enterprise data warehousing, including third normal form (3NF) and dimensional modeling
• Experience building batch and incremental data pipelines using PySpark, Delta Live Tables, Autoloader, Structured Streaming, Databricks Workflows, or Apache Airflow
• Experience with Databricks Unity Catalog, fine-grained security controls, and continuous integration/continuous deployment (CI/CD) pipeline deployment
• Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
• Limited immigration sponsorship may be available.
Preferred:
• Master's degree in Computer Science, Engineering, or a related field
• Experience with one or more cloud ecosystems, including Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP)
• Experience tuning Databricks or Apache Spark workloads for performance and cost efficiency
• Experience with Databricks Lakeflow
• Experience supporting artificial intelligence or machine learning use cases on cloud data platforms
Company:
Deloitte is a business consulting company that offers audit, consulting, financial advisory, and tax services. Founded in 1845, the company is headquartered in London, GBR, with a team of 10001+ employees. The company is currently Late Stage.

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