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Databricks Engineer Jobs in Tempe, AZ (NOW HIRING)

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 ...

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

Vultus Inc

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

Paychex

Data Solutions Engineer

Tempe, AZ · On-site

$98K - $160K/yr

Data Platform & Databricks Administration - Strong data engineering background with experience designing, building, and supporting data pipelines and cloud data platforms. Hands-on experience ...

TekWissen LLC

Software Engineering Lead

Glendale, AZ · On-site

$93/hr

The ideal candidate will possess deep architectural knowledge of Azure Data Lake and Databricks, a ... Preferred Qualifications: * • Azure certifications, such as Azure Data Engineer Associate or ...

Smart Synergies

Data Engineering Lead

Glendale, AZ · On-site

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.

Dlapiper

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 ...

Dutch Bros. Coffee

Lead Engineer, Data Platforms

Tempe, AZ · On-site

$99K - $131K/yr

Successfully develop and deploy production- grade data solutions on Snowflake, databricks or ... Develop and maintain data engineering frameworks that support machine learning workflows and ...

Intraedge

Gen AI/ML engineer

Phoenix, AZ · On-site

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 ...

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All JobsDatabricks Engineer JobsDatabricks Engineer Jobs in Tempe, AZ

Databricks Engineer information

See Tempe, AZ salary details

$57K

$106.9K

$194.4K

How much do databricks engineer jobs pay per year?

As of Jul 14, 2026, the average yearly pay for databricks engineer in Tempe, AZ is $106,918.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,100.00 and $126,900.00 per year, depending on experience, location, and employer.

What engineer makes $500,000 a year?

Senior Databricks Engineers with extensive experience, specialized skills in big data, cloud platforms, and advanced analytics can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or with significant bonuses and stock options. Such compensation typically requires a combination of technical expertise, leadership roles, and years of industry experience.

Is Databricks Data Engineer in demand?

Databricks Data Engineers are in high demand due to the increasing adoption of cloud-based data platforms and the need for expertise in big data processing, Spark, and cloud environments. Companies seek professionals skilled in data pipeline development, ETL processes, and cloud tools like AWS or Azure, making this a strong job market for qualified candidates.

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 $100,000 to $150,000 annually, depending on experience, location, and skill level. Senior roles or those with specialized skills in Spark, cloud platforms, or data engineering may earn higher compensation. Salaries can also vary based on industry demand and certifications held.

Is Databricks a high paying job?

A Databricks Engineer typically earns a high salary due to the specialized skills required in cloud computing, big data processing, and Spark platform expertise. Compensation varies based on experience, location, and certifications, but it is generally above average for data engineering roles.

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, 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 popular job titles related to Databricks Engineer jobs in Tempe, AZ? For Databricks Engineer jobs in Tempe, AZ, the most frequently searched job titles are:
What job categories do people searching Databricks Engineer jobs in Tempe, AZ look for? The top searched job categories for Databricks Engineer jobs in Tempe, AZ are:
What cities near Tempe, AZ are hiring for Databricks Engineer jobs? Cities near Tempe, AZ with the most Databricks Engineer job openings:
Databricks Engineer jobs near you
Senior Data Platform Engineer

Senior Data Platform Engineer

Kestra Holdings

Tempe, AZ • On-site

$109K - $131K/yr

Full-time

Medical, Retirement

Posted 18 hours ago

Job description

Kestra Holdings offers industry-leading wealth management platforms for independent wealth management professionals nationwide. Kestra is dedicated to empowering independent financial professionals-including traditional and hybrid RIAs-to grow their businesses and deliver exceptional client service. We combine advanced business management technology with personalized consulting to provide unmatched scale, efficiency, and support. Our advisor-focused culture is built on innovation and advocacy, enabling advisors to offer comprehensive securities and investment advisory solutions to their clients.
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.

Internal Application Policy:
Internal applicants must be in good standing and have a minimum of 1 year of service with Kestra. Internal applicants must also have a minimum of 1 year service in current role unless approved by EVP.
Benefits to support you:
  • Competitive pay and benefits with a large employer (over 1600 employees nationwide)
  • 401(k), health insurance, and a competitive benefits package
  • Work in a supportive, collaborative environment committed to professional excellence
  • Help clients navigate meaningful financial decisions with confidence
  • Opportunities for training, development, and long-term growth within the firm
  • Tuition reimbursement for qualified expenses

Kestra Values:
Our Mission is Powering Financial Independence, enabling the growth and success of investing clients and the advisors who serve them. We do that by living our values: Serve, Make it Happen, and One team.
Explore Life at Kestra
Kestra Holdings Website: https://www.kestrafinancial.com/
Careers Portal: https://jobs.dayforcehcm.com/en-US/kestra/KESTRACAREERSITE
LinkedIn: https://www.linkedin.com/company/kestra-financial
Apply Today
Lead with purpose. Apply now and help shape the future of Kestra.
DisclosureBy applying to a job at Kestra Financial, Inc., you are agreeing to the following statements:
  • You acknowledge that if hired, Kestra Financial, Inc. may, obtain and use background information concerning your credit, character, general reputation, personal characteristics, work habits, performance and experience for evaluation for your potential employment.
  • It is the policy of Kestra Financial to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, sex, sexual orientation, gender, identity or expression, age, disability, marital status, citizenship, national origin, genetic information, or any other characteristic protected by law. Kestra Financial prohibits any such discrimination or harassment.

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