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Senior Databricks Data Engineer Jobs in Arizona (NOW HIRING)

KUBRA

Data Engineer

Tempe, AZ · On-site

$109K - $131K/yr

Build, troubleshoot, and optimize data pipelines using PySpark , Databricks , SQL , and cloud data ... Collaborate with Product, BI, Engineering, and Data Analytics teams to support reliable reporting ...

KUBRA

Data Engineer

Tempe, AZ

$111K - $133K/yr

Build, troubleshoot, and optimize data pipelines using PySpark , Databricks , SQL , and cloud data ... Collaborate with Product, BI, Engineering, and Data Analytics teams to support reliable reporting ...

KUBRA

Data Engineer

Tempe, AZ

$109K - $131K/yr

Build, troubleshoot, and optimize data pipelines using PySpark , Databricks , SQL , and cloud data ... Collaborate with Product, BI, Engineering, and Data Analytics teams to support reliable reporting ...

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 ...

SHI GmbH

Sr. Data Engineer

Phoenix, AZ

$150K - $190K/yr

As a Sr. Software Engineer - Data, you will work with customers and internal stakeholders to ... Hands-on experience with Databricks * Hands-on experience with PowerBI report development * Hands ...

Milliman

Data Engineer (MedInsight)

Phoenix, AZ · On-site +1

$93K - $177K/yr

This role is ideal for someone with experience in modern data platforms, including Databricks, Spark, and cloud technologies, who is eager to take ownership of complex data engineering initiatives ...

Milliman

Data Engineer (MedInsight)

Phoenix, AZ · On-site +1

$93K - $177K/yr

This role is ideal for someone with experience in modern data platforms, including Databricks, Spark, and cloud technologies, who is eager to take ownership of complex data engineering initiatives ...

United IT

Data Engineer

Scottsdale, AZ

$115K - $139K/yr

... with Databricks & on-prem, structured streaming, delta lake concepts, and delta live tables ... Scala and Java programming Data lake concepts such as time travel and schema evolution and ...

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 ...

XTG

Data Engineer

Phoenix, AZ · On-site +1

$113K - $136K/yr

The Data Engineer role is responsible for designing, building, and maintaining scalable data ... Hands-on experience with Microsoft Fabric, Azure Synapse, Azure Data Factory, Databricks, or ...

New

Troon

Data Engineer

Scottsdale, AZ

$114K - $137K/yr

Experience with PySpark, Spark, or Databricks * Familiarity with Delta Lake and lakehouse architectures * Experience with CI/CD pipelines and DevOps practices in Azure * Knowledge of data governance ...

Troon Golf

Data Engineer

Gilbert, AZ

$114K - $137K/yr

Experience with PySpark, Spark, or Databricks * Familiarity with Delta Lake and lakehouse architectures * Experience with CI/CD pipelines and DevOps practices in Azure * Knowledge of data governance ...

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Senior Databricks Data Engineer information

How does a Senior Databricks Data Engineer typically collaborate with data scientists and analysts on large-scale projects?

A Senior Databricks Data Engineer works closely with data scientists and analysts to design, build, and optimize data pipelines that enable advanced analytics and machine learning initiatives. They often participate in cross-functional meetings to understand data requirements, translate them into scalable ETL processes, and ensure data quality and accessibility. Regular collaboration also involves troubleshooting data issues, optimizing Spark jobs for performance, and sharing best practices for data management. This close teamwork ensures that analytical teams have reliable, timely, and well-structured data to drive insights and decision-making.

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

To thrive as a Senior Databricks Data Engineer, you need advanced expertise in data engineering concepts, big data technologies, and proficiency in programming languages like Python or Scala, usually backed by a bachelor's degree in computer science or a related field. Familiarity with Databricks, Apache Spark, cloud platforms (Azure, AWS, or GCP), and certifications like Databricks Certified Data Engineer are typically required. Strong problem-solving skills, effective communication, and the ability to collaborate across teams distinguish top performers in this role. These skills are essential to efficiently design scalable data solutions, optimize data workflows, and drive business insights in complex data environments.

What is the difference between Senior Databricks Data Engineer vs Data Engineer?

AspectSenior Databricks Data EngineerData Engineer
CredentialsTypically requires experience with Databricks, Spark, cloud platforms, and often certifications like Databricks Certified Data Engineer AssociateRequires knowledge of data pipelines, SQL, ETL tools, and often cloud platform experience, but less specialized in Databricks
Work EnvironmentWorks primarily within Databricks environment, focusing on big data processing and analyticsWorks across various data tools and platforms, including traditional ETL and cloud services
Industry UsageCommon in organizations leveraging Databricks for big data analytics and machine learningWidely used across industries for general data pipeline development and data management

The main difference is that a Senior Databricks Data Engineer specializes in using Databricks and Spark for big data solutions, often requiring specific certifications and experience. A Data Engineer has a broader focus on data pipeline development across various tools and platforms, with less emphasis on Databricks-specific skills.

What are Senior Databricks Data Engineers?

Senior Databricks Data Engineers are experienced professionals who design, develop, and optimize large-scale data processing pipelines using the Databricks platform. They work with big data technologies like Apache Spark, Delta Lake, and cloud platforms such as Azure or AWS. Their responsibilities include building and maintaining ETL processes, ensuring data quality, and collaborating with data scientists and analysts to deliver reliable, high-performance data solutions. As senior engineers, they also mentor junior team members and contribute to architectural decisions.
What are the most commonly searched types of Databricks Data Engineer jobs in Arizona? The most popular types of Databricks Data Engineer jobs in Arizona are:
What are popular job titles related to Senior Databricks Data Engineer jobs in Arizona? For Senior Databricks Data Engineer jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Senior Databricks Data Engineer jobs in Arizona look for? The top searched job categories for Senior Databricks Data Engineer jobs in Arizona are:
What cities in Arizona are hiring for Senior Databricks Data Engineer jobs? Cities in Arizona with the most Senior Databricks Data Engineer job openings:
Senior Databricks Data Engineer jobs near you

Data Engineer

KUBRA

Tempe, AZ • On-site

$109K - $131K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 25 days ago

Job description

About Us
KUBRA provides customer experience management solutions to some of North America's largest utility, insurance, and government entities. From billing and payments to mapping and proactive communications, our solutions help organizations deliver seamless, reliable customer experiences at scale.
With a strong focus on innovation, security, and data-driven insights, KUBRA empowers millions of customers every day. Joining KUBRA means being part of a collaborative, forward-thinking team that values technology, continuous improvement, and delivering meaningful impact.
About the Role
We're looking for a Data Engineer to join our Product Development - Business Intelligence team. In this role, you'll design, build, and maintain scalable data infrastructure and cloud-based data pipelines that enable reliable data processing, reporting, and insights.
You'll work closely with BI Analysts, product teams, and cross-functional partners to ensure data is high-quality, accessible, and structured for analysis. This role supports business intelligence efforts by developing data models, improving ETL processes, automating manual workflows, and helping deliver reliable client-facing reporting solutions.
How You'll Contribute
  • Design, build, and maintain scalable cloud-based data pipelines and ETL processes to support BI and reporting solutions
  • Develop and maintain data infrastructure across SQL Server, AWS, and cloud-based data platforms
  • Build, troubleshoot, and optimize data pipelines using PySpark, Databricks, SQL, and cloud data services
  • Design and implement data models optimized for analytics, warehousing, and reporting use cases
  • Partner with BI Analysts to manage client reporting requirements and support data-driven insights
  • Automate manual data processes to improve efficiency, consistency, and data quality
  • Maintain and improve existing data infrastructure, pipelines, and reporting data flows
  • Work with the product Technical Writer to document data infrastructure, pipelines, models, and processes
  • Collaborate with Product, BI, Engineering, and Data Analytics teams to support reliable reporting and analytics solutions
  • Share technical knowledge with coworkers and contribute to continuous improvement of data systems and processes
  • Stay current with modern data engineering technologies, including Databricks, PySpark, cloud platforms, data modeling, and streaming data tools
  • Participate in client-facing sessions when needed, including design discussions, technical presentations, and training

Strengths That Shine in This Role
  • Strong problem-solving mindset with a focus on data quality, reliability, and continuous improvement
  • Ability to translate BI and reporting requirements into scalable technical data solutions
  • Strong communication skills and professionalism when working with internal teams and clients
  • Collaborative approach with the ability to build relationships across technical and non-technical teams
  • Ability to influence others, manage conflicts, and support productive technical discussions
  • Proactive and self-driven, with the ability to work independently in a results-focused environment
  • Strong organization and time management skills, especially when balancing multiple priorities
  • Comfortable troubleshooting issues, handling pressure, and supporting business-critical reporting needs
  • Willingness to share knowledge, document work clearly, and contribute to a cohesive team environment

Skills That Matter in This Role
  • Bachelor's or Master's degree in Computer Science, Statistics, Analytics, Data Engineering, or a related field
  • 3-5 years of cloud data engineering experience on a major cloud platform, preferably AWS
  • Hands-on experience building data pipelines in cloud environments
  • Demonstrable experience with PySpark
  • Hands-on experience with Databricks
  • Strong proficiency in SQL and experience working with SQL Server or similar relational databases
  • Hands-on knowledge of data modeling, data warehousing, and BI reporting concepts
  • Experience designing data models that support analytics, reporting, and business intelligence use cases
  • Familiarity with BI tools and reporting environments such as Power BI or Tableau
  • Experience maintaining, troubleshooting, and optimizing ETL/data pipeline processes
  • Experience with streaming data tools such as Kafka, Kinesis, or similar technologies is an asset
  • Experience documenting technical processes, data infrastructure, and pipeline logic
  • Ability to participate in occasional client-facing design sessions, presentations, or training as needed

Why You'll Love Working Here
  • Thrive in an award-winning, innovation-driven culture that champions growth, embraces diversity, and fosters inclusion for all. See our awards -
  • Earn competitive pay with annual performance-based bonuses that recognize your impact
  • Invest in your future with our 401(k) plan featuring company matching
  • Stay healthy with comprehensive medical, dental, and vision coverage, plus HSA and FSA options
  • Recharge with paid vacation and sick days - and a paid day off for your birthday
  • Make an impact with two paid volunteer days to give back to your community
  • Advance your skills with free access to LinkedIn Learning and our education reimbursement program
  • Prioritize your mental health with a free premium Headspace membership
  • Stay active with our on-site fitness center (Tempe office only)
  • Refuel at fully stocked refreshment stations with complimentary drinks and snacks
  • Enjoy exclusive perks with access to "Tickets at Work" discounts and memberships

KUBRA is an equal opportunity employer dedicated to building an inclusive and diverse workforce. We will provide accommodations during the recruitment process upon request by emailing [email protected]. Information received relating to accommodation will be addressed confidentially. We thank all applicants for their interest; however, only candidates under consideration will be contacted.
#LI-AA1
While we value the skills and experiences listed in our job requirements, we also recognize that talent comes in many forms, and welcome applications from candidates who meet most but not all specified requirements. If you possess a strong desire to learn and grow in a dynamic work environment, apply now!
KUBRA is a fast-growing company that delivers customer communications solutions to some of the largest utility, insurance, and government entities across North America. KUBRA offers billing and payments, mapping, mobile apps, proactive communications, and artificial intelligence solutions for customers. With more than 1.5 billion customer interactions annually, KUBRA services reach over 40% of households in the U.S. and Canada. KUBRA is an operating subsidiary of Hearst.
Our office is small enough to allow creative individuals to flourish, yet large enough to provide long-term stability. We place a tremendous amount of responsibility on our team members to be productive, focused and self-motivated. We offer a casual work environment, competitive compensation and a stellar benefits program.
KUBRA does not typically provide immigration-related assistance, including employment-based work visa (e.g. H-1B) sponsorship, work permit applications and extensions, permanent residence (green card) sponsorship, LMIA applications or permanent residency nominations. Candidates must ensure they have legal authorization to work in the U.S/ Canada. All sponsorship determinations are case by case based on business need.

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