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Databricks Jobs in Arizona (NOW HIRING)

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 ...

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 ...

Databricks preferred Product mindset -- builds for the next user, not just the requester; documentation and handover as default STRONG ADVANTAGE Credit risk domain -- portfolio behaviour, collections ...

New

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 ...

Databricks preferred * Product mindset -- builds for the next user, not just the requester; documentation and handover as default STRONG ADVANTAGE * Credit risk domain -- portfolio behaviour ...

New

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 ...

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 ...

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 ...

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 ...

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.

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

Showing results 41-60

Databricks information

See Arizona salary details

$21.9K

$35.1K

$47.5K

How much do databricks jobs pay per year?

As of Aug 9, 2026, the average yearly pay for databricks in Arizona is $35,145.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,200.00 and $38,700.00 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 Arizona? The most popular types of Databricks jobs in Arizona are:
What cities in Arizona are hiring for Databricks jobs? Cities in Arizona with the most Databricks job openings:
Infographic showing various Databricks job openings in Arizona as of August 2026, with employment types broken down into 87% Full Time, 4% Part Time, and 9% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $35,145 per year, or $16.9 per hour.

Software Engineering Lead

TekWissen LLC

Glendale, AZ • On-site

$93/hr

Contractor

Re-posted 22 days ago


Job description

Overview:         
     
TekWissen is a global workforce management provider headquartered in Ann Arbor, Michigan that offers strategic talent solutions to our clients world-wide. Our client is a trusted engineering, construction and project management partner to industry and government. Differentiated by the quality of their people and their relentless drive to deliver the most successful outcomes, they align their capabilities to their customers’ objectives to create a lasting positive impact. Since 1898, they 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.       
     
Job Title: Software Engineering Lead 
Location: Glendale, AZ 85301 
Duration: 12 Months    
Job Type: Contract    
Work Type: Temporary Assignment 
     
JOB DESCRIPTION:    
 
 
Description:
 
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.
 
TekWissen® Group is an equal opportunity employer supporting workforce diversity.     
 ​​​​​

TekWissen is an emerging global human capital, recruitment and IT services organization. Operating since 2009, we draw upon more than a decade of staffing experience to deliver critical talent acquisition solutions and IT engagements for our clients. We’re founded on a culture that is passionate about delivering tailored solutions, that create lasting partnerships.

Our global footprint covers six countries: United States, Canada, Australia, India, United Kingdom and the Philippines. This allows us to work in close partnership with organizations and manage everything from global talent needs with demanding resourcing strategies, to single sites with lower recruitment volumes.

TekWissen® is an equal opportunity employer supporting workplace diversity. 


TekWissen logo

About TekWissen

Sourced by ZipRecruiter

TekWissen is an emerging global human capital, recruitment and IT services organization. Operating since 2009, we draw upon more than a decade of staffing experience to deliver critical talent acquisition solutions and IT engagements for our clients. We’re founded on a culture that is passionate about delivering tailored solutions, that create lasting partnerships.

Industry

Recruiting and staffing services

Company size

501 - 1,000 Employees

Headquarters location

Ann Arbor, MI, US

Year founded

2009

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