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Databricks Engineer Jobs in Arizona (NOW HIRING)

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.

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 ...

Quality Systems Engineer Tucson, AZ (Onsite) | Aerospace & Avionics 9/80 Schedule Available - Every ... Build and maintain quality KPI dashboards using Power BI, Databricks, or equivalent tools to ...

Data Engineer

Tempe, AZ · On-site

$99.60K - $156.50K/yr

Bachelor's Degree in Computer Science, Data Science, Engineering or equivalent software/services experience - Required * 4 years of experience in Working with SQL, Snowflake, Databricks, Spark and/or ...

Gen AI/ML engineer Location: Phoenix, AZ (Day 1 onsite Hybrid 3 days a week in office) Duration ... leveraging Databricks, Snowflake or similar frameworks and tools. Strong knowledge of machine ...

Head of Data Engineering

Scottsdale, AZ · On-site

$115.20K - $138.40K/yr

As the Head of Data Engineering, you will lead a technical team to build and scale the data ... Databricks and AWS • Design, build, and maintain reliable ETL and ELT pipelines that transform ...

As Head of Data Engineering, you will define and scale the platform, semantic layer, and AI ready ... Deep expertise with Databricks or comparable modern data platforms including Spark optimization ...

Head of Data Engineering

Scottsdale, AZ · On-site

$115.20K - $138.40K/yr

As the Head of Data Engineering, you will lead a technical team to develop and scale the data ... Databricks and AWS • Design, build, and maintain reliable ETL and ELT pipelines that transform ...

Data Engineer

Phoenix, AZ · On-site

$113.70K - $136.50K/yr

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/Information Architect

Tempe, AZ · On-site

$61 - $78.50/hr

... Data Engineering domain. * Must have designed and implemented at least 2-3 projects end-to-end in Databricks. * Must have at least 3+ years of experience in databricks which consists of various ...

12-12-R-Solution Architect - 9150

Phoenix, AZ · On-site

$63.25 - $81.50/hr

Technical Expertise Programming: Python, SQL, R Big Data: Hadoop, Spark, Kafka, Hive Cloud Platforms: Azure (ADF, Databricks, Azure OpenAI), AWS Data Warehousing: Redshift, SQL Server ETL/ELT Tools ...

Mid-Senior Data Engineer

Phoenix, AZ · Hybrid

$100K - $115K/yr

Job Title: Data Engineer (Mid-Level to Senior) Location: Hybrid / Onsite as needed (project ... Exposure to analytics or data science tools (Databricks, Azure ML, etc.). * Understanding of data ...

Dentons US LLP is currently recruiting for a skilled and experienced Integration Engineer to design ... Implement Databricks integration workflows for complex data transformation requirements between ...

Data Engineer

Phoenix, AZ

$113.70K - $136.50K/yr

Databricks Nice to have: Informatica/ETL. Responsibilities * Design and develop ETL processes based ... Document component design for developers and for broader communication. * Understand and adopt an ...

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Databricks Engineer information

See Arizona salary details

$55.4K

$104K

$189.2K

How much do databricks engineer jobs pay per year?

As of May 30, 2026, the average yearly pay for databricks engineer in Arizona is $104,028.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,000.00 and $123,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Databricks Engineer, and why are they important?

To thrive as a Databricks Engineer, you need strong expertise in big data processing, cloud platforms (like AWS or Azure), and proficiency with languages such as Python, SQL, and Scala, often supported by a degree in computer science or a related field. Familiarity with Apache Spark, Databricks Workspace, version control systems like Git, and relevant Databricks certifications are typically required. Strong analytical thinking, collaboration, and effective communication skills help you understand business needs and work seamlessly with data teams. These skills ensure efficient data pipeline development, scalable analytics solutions, and successful integration of Databricks into organizational workflows.

What are some common challenges faced by Databricks Engineers when working with large-scale data pipelines?

Databricks Engineers often encounter challenges related to optimizing the performance and reliability of large-scale data pipelines. These can include efficiently managing cluster resources, handling data partitioning to prevent bottlenecks, and troubleshooting job failures due to resource constraints or data quality issues. Collaboration with data scientists, analysts, and DevOps teams is essential to ensure seamless integration and deployment of production workflows. Staying current with evolving Databricks features and best practices also plays a key role in overcoming these challenges.

What is a Databricks Engineer?

A Databricks Engineer is a data engineering professional who specializes in using the Databricks platform to build, manage, and optimize data pipelines and analytics solutions. They work with big data technologies like Apache Spark, Delta Lake, and cloud services to process and analyze large datasets efficiently. Their role often involves developing ETL (extract, transform, load) workflows, setting up data lakes, and ensuring data quality and performance for business intelligence and machine learning applications.

How much does a Databricks engineer make?

A Databricks engineer's salary typically ranges from $100,000 to $150,000 annually, depending on experience, location, and skill level. Senior roles or those with specialized skills in Spark, cloud platforms, and data engineering may earn higher compensation. Salaries can also vary based on industry demand and certifications.
What cities in Arizona are hiring for Databricks Engineer jobs? Cities in Arizona with the most Databricks Engineer job openings:
Infographic showing various Databricks Engineer job openings in Arizona as of May 2026, with employment types broken down into 2% As Needed, 79% Full Time, 9% Part Time, 6% Contract, and 4% Nights. Highlights an 67% Physical, and 33% Remote job distribution, with an average salary of $104,028 per year, or $50 per hour.
Data Engineering Lead

Other

Posted 21 hours ago


Job description

Job Summary:

We are seeking an experienced and highly skilled Data Engineering Lead to spearhead our data initiatives, with a primary focus on Azure Data Lake and its associated ecosystem. 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 delivering scalable and secure data solutions.

Major Responsibilities:

Architectural Design and Implementation:

Design and implement robust, scalable, and efficient data architectures leveraging Azure Data Lake and Databricks.

Define and enforce best practices for data ingestion, storage, processing, and retrieval.

Optimize data workflows to ensure high performance and cost efficiency.

Data Governance and Security:

Develop and implement security measures for Azure Data Lake, ensuring compliance with organizational and regulatory standards.

Manage role-based access control (RBAC), encryption, and other security protocols within Azure Subscriptions.

Collaborate with security teams to perform regular audits and vulnerability assessments.

Team Leadership and Collaboration:

Lead and mentor a team of data engineers, providing technical guidance and fostering professional development.

Collaborate with cross-functional teams, including data scientists, business analysts, and IT teams, to deliver data-driven solutions.

Drive agile practices and ensure timely delivery of projects.

Platform Optimization and Monitoring:

Oversee the deployment and management of Azure Data Lake and Databricks environments.

Implement monitoring and alerting systems to ensure system reliability and performance.

Evaluate and incorporate new Azure services and technologies to enhance the data platform.

Strategic Planning and Roadmap Development:

Develop and execute a roadmap for data engineering aligned with business objectives.

Stay abreast of industry trends and advancements in data engineering and Azure technologies.

Provide recommendations for long-term data strategy, including data lakehouse adoption and cloud optimization.

Education and Experience Requirements:

Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.

8+ years of experience in data engineering, with at least 3 years in a leadership role.

Extensive hands-on experience with Azure Data Lake, Databricks, and other Azure services.

Proven expertise in architecting and implementing large-scale data solutions.

ship is required for this position.

Required Knowledge and Skills:

Technical Skills:

Proficiency in SQL.

Deep understanding of Azure security concepts, including subscription management, RBAC, and data encryption.

Experience with data modeling, ETL pipelines, and big data technologies.

Familiarity with CI/CD pipelines and DevOps practices in a data engineering context.

Soft Skills:

Strong leadership and team management abilities.

Excellent communication and stakeholder management skills.

Analytical mindset with a proactive approach to problem-solving.

Preferred Qualifications:

Azure certifications, such as Azure Data Engineer Associate or Azure Solutions Architect Expert.

Experience with implementing data lakehouse architectures.

Familiarity with data governance frameworks like GDPR, CCPA, or HIPAA.