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Databricks Jobs in Tempe, AZ (NOW HIRING)

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 solid understanding of security concepts within Azure, and a proven track record of leading teams in ...

Dutchbros

Senior Engineer, Data

Tempe, AZ · On-site

$103K - $140K/yr

Hands-on experience with Databricks, Cloud storage, and/or S3. * Good Understanding of Cloud-native development and container orchestration (e.g., Serverless, Docker, Kubernetes) and cloud platforms ...

United IT

Data Engineer

Scottsdale, AZ · On-site

Experience in conceptual/logical/physical data modeling and expertise in relational and dimensional data modeling Experience with Databricks & on-prem, structured streaming, delta lake concepts, and ...

E-Solutions, Inc.

Python ETL Data Tester

Tempe, AZ · On-site

Experience validating cloud-based data platforms on AWS, Azure, Databricks, Snowflake, or Google Cloud Platform. * Hands-on experience with batch job validation, workflow monitoring, and scheduling ...

United IT

Data Engineer

Scottsdale, AZ · On-site

$115K - $139K/yr

Experience in conceptual/logical/physical data modeling and expertise in relational and dimensional data modeling Experience with Databricks & on-prem, structured streaming, delta lake concepts, and ...

United IT

Lead Data Engineer

Scottsdale, AZ · On-site

Experience in conceptual/logical/physical data modeling & expertise in relational and dimensional data modeling Experience with Databricks & on-prem, structured streaming, delta lake concepts, and ...

United IT

Lead Data Engineer

Scottsdale, AZ · On-site

Experience in conceptual/logical/physical data modeling & expertise in relational and dimensional data modeling Experience with Databricks & on-prem, structured streaming, delta lake concepts, and ...

QuantumClean

Data Scientist

Phoenix, AZ

The role leverages enterprise analytics platforms including Databricks and Microsoft Copilot Studio to enable AI-assisted insights and intelligent automation for manufacturing and operations users.

Ultra Clean Technology

Data Scientist

Phoenix, AZ · On-site

... Databricks, ML/OPS in Databricks, Unity Catalog. • Experience developing classifier models (Random Forest, KNN, Decision Trees). • Strong SQL skills. • Experience with Microsoft Copilot Studio ...

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All JobsDatabricks JobsDatabricks Jobs in Tempe, AZ

Databricks information

See Tempe, AZ salary details

$22.5K

$36.1K

$48.8K

How much do databricks jobs pay per year?

As of Aug 9, 2026, the average yearly pay for databricks in Tempe, AZ is $36,121.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,100.00 and $39,700.00 per year, depending on experience, location, and employer.

Are Databricks in high demand?

Databricks-related roles, such as data engineers and data scientists, are in high demand due to the platform's widespread adoption for big data analytics and machine learning. Skills in Spark, cloud environments, and data pipeline development increase employability in this field.

What are jobs in Databricks?

Jobs in Databricks refer to employment positions that involve working with the Databricks platform, which is used for big data analytics and machine learning. These roles often require skills in data engineering, data science, or software development, and may involve working with tools like Apache Spark and cloud environments. Job responsibilities can include developing data pipelines, analyzing large datasets, and optimizing performance within the Databricks environment.

What is a Databricks?

A Databricks job is a way to run an automated workload, such as a data pipeline, machine learning model training, or ETL task, on the Databricks platform. Jobs can be scheduled, triggered manually, or run as part of a workflow. They support different task types, including notebooks, Python scripts, JARs, and SQL queries. Databricks jobs also allow for dependency management and orchestration across multiple tasks within a workflow.

Is Databricks a good company to work for?

As a company, Databricks is known for its focus on data analytics and cloud-based platforms, offering roles that often require skills in Spark, Python, and cloud services. Employee reviews highlight a collaborative environment and opportunities for growth, but experiences can vary depending on the role and team. Job seekers should consider researching specific positions and company culture to determine fit.

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

To thrive in a Databricks role, you need strong programming skills in languages such as Python or Scala, a deep understanding of data engineering or data science principles, and typically a relevant degree in computer science or a related field. Experience with Apache Spark, cloud platforms like Azure or AWS, and Databricks-specific certifications are often highly valued. Exceptional problem-solving, communication, and collaboration skills help professionals excel within multidisciplinary data teams. These capabilities are crucial for successfully designing, developing, and optimizing large-scale data solutions in a fast-evolving analytics environment.

What are the typical daily responsibilities of someone working in a Databricks role?

Professionals in Databricks roles typically spend their days developing and maintaining data pipelines, analyzing large datasets, and collaborating with business stakeholders to translate requirements into scalable solutions. They often use tools such as Apache Spark and cloud platforms to design and optimize workflows, while troubleshooting data quality or performance issues that arise. Regular teamwork with data engineers, analysts, and software developers is common, as is participating in sprint planning or code review sessions. Overall, the role combines hands-on technical work with ongoing collaboration to ensure data-driven insights and infrastructure reliability.

What are the most commonly searched types of Databricks jobs in Tempe, AZ? The most popular types of Databricks jobs in Tempe, AZ are:
What are popular job titles related to Databricks jobs in Tempe, AZ? For Databricks jobs in Tempe, AZ, the most frequently searched job titles are:
What job categories do people searching Databricks jobs in Tempe, AZ look for? The top searched job categories for Databricks jobs in Tempe, AZ are:
What cities near Tempe, AZ are hiring for Databricks jobs? Cities near Tempe, AZ with the most Databricks job openings:
Databricks jobs near you
Infographic showing various Databricks job openings in Tempe, AZ as of August 2026, with employment types broken down into 89% Full Time, 3% Part Time, and 8% Contract. Highlights an 78% Physical, 6% Hybrid, and 16% Remote job distribution, with an average salary of $36,121 per year, or $17.4 per hour.

URGENT NEED - Data Engineer Lead __ Glendale, AZ - HYBRID

Navtech, Inc.

Glendale, AZ • On-site

Contractor

Re-posted 7 days ago

Job description

I have an opportunity for "Data Engineer Lead __ Glendale, AZ - HYBRID" and I am looking for a candidate who can join Immediately if you are interested, reply to me with your updated resume or if you could refer someone I would really appreciate it.
Position : Data Engineering Lead
Location: Glendale, AZ - Hybrid/Onsite
Duration : 6 TO 12 Months Contract
Visa : USC
Please note that this role requires leadership experience, Azure Data Lake expertise, and Business Objects knowledge. Your resume should reflect actual working experience with these technologies, as the candidate will need to answer detailed technical questions during the interview process.
Job Summary:
We are seeking an experienced and highly skilled Software 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. #LI-TN1
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.
• US citizenship 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.
Regards,
Alex . K
NAVTECH INC
P : (224) 348-1340 E : Alex@navtechusa.com
1600 Golf Road. Suite 1200, Rolling Meadows, IL 60008
www.Navtechusa.com E-Verified Company.
Navtech logo

About Navtech

Sourced by ZipRecruiter

Industry

Civil engineering construction

Company size

11 - 50 Employees

Headquarters location

New Bloomfield, PA, US

Year founded

1996

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