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Databricks Engineer Jobs in Arizona (NOW HIRING)

Bechtel

Senior Software Engineer

Glendale, AZ · On-site

$121K - $160K/yr

Strong hands-on expertise with Azure Data Lake, Azure Data Factory, Databricks, and Power BI ... Experience integrating data engineering pipelines with Power BI analytics platforms. * Experience ...

Bechtel

Senior Software Engineer

Glendale, AZ · On-site

$121K - $160K/yr

Strong hands-on expertise with Azure Data Lake, Azure Data Factory, Databricks, and Power BI ... Experience integrating data engineering pipelines with Power BI analytics platforms. * Experience ...

Honeywell International, Inc.

Data Engineer II

Phoenix, AZ · On-site

$107K - $128K/yr

As a Data Engineer II here at Honeywell Aerospace, you will play an essential role in developing ... Hands-on experience with Dataiku (flows, recipes, scenarios, plugins) and Databricks (Spark, Delta ...

Addison Group

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Data Engineer Location: Tempe, AZ (Onsite) Contract: 12 month Schedule: Monday-Friday | 8:00 AM-5 ... Snowflake or Databricks * Azure Data Factory * Power BI experience is a plus Addison Group is an ...

Addison Group

Data Engineer

Phoenix, AZ · On-site

$55 - $65/hr

Data Engineer Location: Tempe, AZ (Onsite) Contract: 12 month Schedule: Monday-Friday | 8:00 AM-5 ... Snowflake or Databricks * Azure Data Factory * Power BI experience is a plus Addison Group is an ...

Kimley-Horn

Data Engineer

Phoenix, AZ

$113K - $136K/yr

Overview We are seeking a Data Engineer to join our growing Data & Analytics team. This role is ... Experience with Microsoft Fabric, Databricks, or Snowflake. * Knowledge of enterprise data ...

Kimley-Horn

Data Engineer

Phoenix, AZ · On-site

$104K - $125K/yr

Overview We are seeking a Data Engineer to join our growing Data & Analytics team. This role is ... Experience with Microsoft Fabric, Databricks, or Snowflake. * Knowledge of enterprise data ...

Kimley-Horn

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Overview We are seeking a Data Engineer to join our growing Data & Analytics team. This role is ... Experience with Microsoft Fabric, Databricks, or Snowflake. * Knowledge of enterprise data ...

Kimley-Horn

Data Engineer

Phoenix, AZ · On-site

$104K - $125K/yr

We are seeking a Data Engineer to join our growing Data & Analytics team. This role is responsible ... Experience with Microsoft Fabric, Databricks, or Snowflake. * Knowledge of enterprise data ...

CYNET SYSTEMS

Application Developer

Glendale, AZ · On-site

$44 - $57/hr

Contribute to Azure Databricks data pipeline development and enhancements (PySpark, Spark SQL ... Use Git, pull requests, code reviews, and CI/CD pipelines (Azure DevOps or GitHub) for version ...

Kimley-Horn

Data Engineer

Phoenix, AZ · On-site

$100 - $125/hr

Overview We are seeking a Data Engineer to join our growing Data & Analytics team. This role is ... Experience with Microsoft Fabric, Databricks, or Snowflake. * Knowledge of enterprise data ...

RIT Solutions, Inc.

AWS data engineer

Chandler, AZ · On-site

$63.50 - $83.50/hr

Responsibilities : • Must have: aws data, datazone, databricks, glue or spark, python, data warehousing, CI/CD • Bachelor's degree in Computer Science, Engineering or related field • 5+ years ...

Dlapiper

Data Engineer

Phoenix, AZ

$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 ...

Radix

Data Engineer

Scottsdale, AZ

$115K - $138K/yr

Own the reliability, performance, governance, and cost optimization of Radix's Databricks-based ... Improve developer experience through better tooling, local development workflows, testing practices ...

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All JobsDatabricks Engineer JobsDatabricks Engineer Jobs in Arizona

Databricks Engineer information

See Arizona salary details

$55.4K

$104K

$189.2K

How much do databricks engineer jobs pay per year?

As of Sep 8, 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 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.

What are the key skills and qualifications needed to thrive as a Databricks engineer?

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.

How much does a Databricks engineer make?

A Databricks engineer's salary typically ranges from $90,000 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 can earn higher compensation, often including bonuses and benefits.

Is a Databricks engineer in demand?

Databricks engineers are in high demand due to the growing adoption of cloud-based data analytics and machine learning platforms. They typically require skills in Spark, SQL, and cloud environments like AWS or Azure, making them valuable in data-driven organizations across various industries.

What are popular job titles related to Databricks Engineer jobs in Arizona?

For Databricks Engineer jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Databricks Engineer jobs in Arizona look for?

The top searched job categories for Databricks Engineer jobs in Arizona are:

What cities in Arizona are hiring for Databricks Engineer jobs?

Cities in Arizona with the most Databricks Engineer job openings:

Databricks Engineer jobs near you
Infographic showing various Databricks Engineer job openings in Arizona as of September 2026, with employment types broken down into 1% Internship, 87% Full Time, 7% Part Time, 4% Contract, and 1% Nights. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $104,028 per year, or $50 per hour.

Senior Software Engineer

Bechtel

Glendale, AZ • On-site

$121K - $160K/yr

Part-time

Re-posted 8 days ago

Bechtel rating

7.6

Company rating: 7.6 out of 10

Based on 65 frontline employees who took The Breakroom Quiz

286th of 454 rated engineering

Job description

Requisition ID: 297628
  • Relocation Authorized: None
  • Telework Type: Part-Time Telework
  • Work Location: Glendale, AZ

Extraordinary teams building inspiring projects:
Since 1898, we have helped customers complete more than 25,000 projects in 160 countries on all seven continents that have created jobs, grown economies, improved the resiliency of the world's infrastructure, increased access to energy, resources, and vital services, and made the world a safer, cleaner place.
Differentiated by the quality of our people and our relentless drive to deliver the most successful outcomes, we align our capabilities to our customers' objectives to create a lasting positive impact. We serve the Infrastructure; Nuclear, Security & Environmental; Energy; Mining & Metals, and the Manufacturing and Technology markets. Our services span from initial planning and investment, through start-up and operations.
Core to Bechtel is our Vision, Values and Commitments. They are what we believe, what customers can expect, and how we deliver. Learn more about our extraordinary teams building inspiring projects in our Impact Report.
Job Summary:
We are seeking a highly skilled and motivated Senior Software Engineer specializing in Data Engineering and Power BI Analytics to join our growing team. This role will focus on designing, developing, and optimizing scalable data solutions within the Azure cloud environment while enabling advanced analytics and business intelligence using Power BI and SAP Business Objects.The ideal candidate will possess strong expertise in Azure Data Lake, Azure Data Factory, Databricks, SAP Business Objects and Power BI, with the ability to design end-to-end data pipelines and build robust analytical models and dashboards that drive business insights. This role will play a key part in delivering enterprise analytics solutions, data visualization frameworks, and self-service BI capabilities for business stakeholders. #LI-SM2
"This position is designated as part-time telework per our global telework policy and may require at least three days of in-person attendance per week at the assigned office or project. Weekly in-person schedules will be determined by the individual and their supervisor, in consultation with functional or project leadership"
Major Responsibilities:
  • Design, develop, and optimize scalable data processing pipelines and architectures within Azure Data Lake and Databricks, ensuring performance, scalability, and maintainability.
  • Implement and manage complex ETL/ELT data pipelines integrating data from multiple enterprise sources such as databases, APIs, and external systems.
  • Use Azure Data Factory for workflow orchestration, scheduling, and monitoring of enterprise data pipelines.
  • Implement data quality validation frameworks to ensure accuracy, completeness, and consistency across the data platform.
  • Optimize data storage, transformation, and query performance within Azure environments including Databricks, Azure SQL, and Synapse.Design, develop, and maintain enterprise Power BI solutions, including semantic models, datasets, dashboards, and analytical reports.
  • Build interactive and visually compelling dashboards that translate complex data into meaningful insights for business stakeholders.Develop Power BI data models, including star schemas, DAX measures, calculated columns, and optimized datasets.
  • Implement Power BI data governance and security, including Row-Level Security (RLS) and workspace management.
  • Optimize Power BI performance through dataset optimization, query tuning, aggregation strategies, and incremental refresh.
  • Enable self-service analytics capabilities for business users by building reusable datasets and standardized data models.

Other Major Responsibilities
  • Develop and maintain reports and dashboards using Power BI and SAP Business Objects and Business Warehouse, ensuring data accuracy and consistency.
  • Work closely with business stakeholders to translate reporting and analytics requirements into scalable BI solutions.
  • Support migration or modernization of legacy reporting platforms to Power BI-based analytics solutions.
  • Collaborate with data engineers, business analysts, and data scientists to deliver integrated analytics solutions.mplement and maintain Azure security and governance policies including data access controls, encryption, and compliance.
  • Monitor and troubleshoot data pipelines and reporting solutions, resolving performance issues proactively.
  • Maintain technical documentation including data architecture, pipeline design, and analytics solutions.

Education and Experience Requirements:
  • Requires bachelor's degree (or international equivalent) and 5-8 years of relevant experience or 9-12 years of relevant work experience
  • US citizenship is required.

Required Knowledge and Skills:
  • 10+ years of experience in Data Engineering, Business Intelligence, or Analytics platforms.
  • Strong hands-on expertise with Azure Data Lake, Azure Data Factory, Databricks, and Power BI development and analytics.
  • Extensive experience building Power BI data models, dashboards, and enterprise BI solutions.
  • Strong proficiency in SQL, query optimization, and performance tuning.
  • Experience designing data models for analytics such as star schema and dimensional modeling.
  • Hands-on experience with Azure services including Azure Synapse Analytics, Azure SQL Database, and Azure Blob Storage.
  • Experience integrating data engineering pipelines with Power BI analytics platforms.
  • Experience supporting or developing reports in SAP Business Objects.
  • Strong analytical, troubleshooting, and problem-solving skills.
  • Excellent communication and collaboration skills

Total Rewards/Benefits:
For decades, Bechtel has worked to inspire the next generation of employees and beyond! Because our teams face some of the world's toughest challenges, we offer robust benefits to ensure our people thrive. Whether it is advancing careers, delivering programs to enhance our culture, or providing time to recharge, Bechtel has the benefits to build a legacy of sustainable growth. Learn more at Bechtel Total Rewards
Diverse teams build the extraordinary:
As a global company, Bechtel has long been home to a vibrant multitude of nationalities, cultures, ethnicities, and life experiences. This diversity has made us a more trusted partner, more effective problem solvers and innovators, and a more attractive destination for leading talent.
We are committed to being a company where every colleague feels that they belong-where colleagues feel part of "One Team," respected and rewarded for what they bring, supported in pursuing their goals, invested in our values and purpose, and treated equitably. Click here to learn more about the people who power our legacy.
Bechtel is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity and expression, age, national origin, disability, citizenship status (except as authorized by law), protected veteran status, genetic information, and any other characteristic protected by federal, state or local law. Applicants with a disability, who require a reasonable accommodation for any part of the application or hiring process, may e-mail their request to acesstmt@bechtel.com

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