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

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 ...

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 ...

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 ...

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

... 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

$113K - $136K/yr

Data Engineer Location Hyderabad, India (Hybrid) Employment Type Full-Time Experience 3-7 Years ... Databricks * Git Secondary Skills * Hadoop Ecosystem * Docker * Kubernetes * Terraform * Power BI

... 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 ...

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/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 (W2)

Phoenix, AZ · On-site

$105K - $143K/yr

Phoenix, AZ Mandatory Skills Databricks, Teradata, SQL We are seeking an experienced Data Engineer expert to lead and support the SIT and UAT for migration of legacy Ab Initio & Teradata workloads to ...

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 ... The Data Engineer II is responsible for partnering with business unit leaders within NCR to analyze ...

Data Engineer

Phoenix, AZ · On-site +1

$113K - $136K/yr

The Data Engineer role is responsible for designing, building, and maintaining scalable data ... Hands-on experience with Microsoft Fabric, Azure Synapse, Azure Data Factory, Databricks, or ...

Data Engineer

Scottsdale, AZ · On-site

$114K - $137K/yr

Experience with PySpark, Spark, or Databricks * Familiarity with Delta Lake and lakehouse architectures * Experience with CI/CD pipelines and DevOps practices in Azure * Knowledge of data governance ...

Data Engineer

Scottsdale, AZ · On-site

$114K - $137K/yr

Experience with PySpark, Spark, or Databricks * Familiarity with Delta Lake and lakehouse architectures * Experience with CI/CD pipelines and DevOps practices in Azure * Knowledge of data governance ...

Data Engineer Location: Phoenix, AZ(Hybrid) Job Type: FTE Key Responsibilities Data Platform ... Design, develop, and maintain cloud-native data pipelines using Databricks, Microsoft Azure Data ...

Data Engineer

Phoenix, AZ

$113K - $136K/yr

Databricks Nice to have: Informatica/ETL. Responsibilities * Design and develop ETL processes based ... Proven working experience as a data engineer * Bachelor degree or equivalent in Computer Science

The ideal candidate will possess deep architectural knowledge of Azure Data Lake and Databricks, a ... Azure certifications, such as Azure Data Engineer Associate or Azure Solutions Architect Expert.

CI/CD & DevOps: Experience with Infrastructure as Code (Terraform), data build tool (dbt), testing ... Preferred Certifications Databricks Certified Data Engineer Associate / Professional Databricks ...

Data Engineer - Manager

Phoenix, AZ · On-site

$99K - $232K/yr

... Data Engineer - Manager, you will play a pivotal role in transforming raw data into actionable ... Databricks and Snowflake - Guiding team members in data architecture development and database ...

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Databricks Data Engineer information

See Phoenix, AZ salary details

$44.2K

$128.8K

$176.2K

How much do databricks data engineer jobs pay per year?

As of Jul 14, 2026, the average yearly pay for databricks data engineer in Phoenix, AZ is $128,797.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,700.00 and $136,500.00 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 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 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 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 July 2026, with employment types broken down into 74% Full Time, and 26% Contract. Highlights an 84% In-person, and 16% Remote job distribution, with an average salary of $128,797 per year, or $61.9 per hour.

Senior Data Platform Engineer

kestra

Tempe, AZ

$109K - $131K/yr

Other

Posted 4 days 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.