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Databricks Engineer Jobs in Arizona (NOW HIRING)

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

New

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

$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 ...

Universal Avionics

Quality Systems Engineer

Tucson, AZ · On-site

Quality Systems Engineer Tucson, AZ (Onsite) | Aerospace & Avionics 9/80 Schedule Available - Every ... Build and maintain quality KPI dashboards using Power BI, Databricks, or equivalent tools to ...

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 Arizona

Databricks Engineer information

See Arizona salary details

$55.4K

$104K

$189.2K

How much do databricks engineer jobs pay per year?

As of Jul 14, 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 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 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
Solution Data Engineer - DG Infomatica Engineer

Solution Data Engineer - DG Infomatica Engineer

Circle K Stores, Inc.

Tempe, AZ • On-site

Full-time

Re-posted 11 days ago

Circle K rating

4.9

Company rating: 4.9 out of 10

Based on 1,328 frontline employees who took The Breakroom Quiz

33rd of 48 rated convenience stores

Job description

JOB TITLE: Solution Data Engineer - DG Infomatica Engineer
COMPANY: CK Global Tech DEPARTMENT: Enterprise Systems
REPORTS TO: Sr Manager MDM Platforms
DATE: February 20, 2026 FSLA STATUS: Exempt
POSITION SUMMARY:
  • We are seeking a hands-on Informatica Developer with strong experience in data quality, metadata cataloging, and lineage to support enterprise data initiatives. This role will focus on designing, building, and maintaining Informatica IDMC-based data quality and catalog solutions to enable trusted, well-documented data across cloud and on-prem environments.

  • The ideal candidate has practical experience implementing Informatica Cloud Data Quality (CDQ) and Cloud Data Catalog (EDC/CDGC), working closely with data engineers and application teams to onboard metadata, implement validation rules, and support analytics platforms such as Snowflake and Databricks in Azure environments.

ESSENTIAL JOB FUNCTIONS:
  • Design, develop, and maintain data quality rules, scorecards, and dashboards using Informatica CDQ
  • Implement and support metadata ingestion, cataloging, and lineage using Informatica Cloud Data Catalog (EDC/CDGC)
  • Onboard application and data source metadata in collaboration with application owners and data engineering teams
  • Configure and maintain technical and business assets, custom attributes, and custom lineage within the Informatica catalog
  • Extract and publish metadata from cloud and on-prem data sources to support enterprise metadata management
  • Support data lineage and impact analysis across Snowflake, Databricks, and relational databases
  • Configure and manage Informatica Cloud environments, including Secure Agents and connectivity
  • Integrate Informatica with cloud platforms and external systems using REST APIs
  • Partner with data engineering and analytics teams to ensure high-quality, well-governed datasets are available for reporting and AI/ML use casess

QUALIFICATIONS:
  • 3-5+ years of hands-on experience as an Informatica Developer or Data Quality Engineer
  • Strong experience with Informatica IDMC, including:
  • Cloud Data Quality (CDQ)
  • Cloud Data Catalog (EDC/CDGC)
  • Experience implementing data quality validation rules, monitoring, and reporting
  • Hands-on experience with Snowflake and Databricks
  • Experience working in Azure cloud environments (AWS exposure is a plus)
  • Strong SQL skills and understanding of data warehousing and data modeling concepts
  • Experience working with on-prem and cloud data sources
  • Experience configuring Informatica Secure Agents and cloud connectivity
  • Familiarity with REST APIs and system integrations

Nice to Have
  • Experience with MDM or governance platforms such as TIBCO EBX
  • Experience with Boomi or other integration / ESB tools
  • Exposure to data governance concepts such as business glossaries and stewardship workflows (implementation-focused, not ownership)

PHYSICAL DEMANDS:
  • Ability to sit for extended periods of time.
  • Ability to operate a computer keyboard for data entry.
  • Ability to participate in training sessions, presentations, and meetings.
  • Some travel will be required.

Job duties may change with or without notice
Circle K is an Equal Opportunity Employer.
The Company complies with the Americans with Disabilities Act (the ADA) and all state and local disability laws. Applicants with disabilities may be entitled to a reasonable accommodation under the terms of the ADA and certain state or local laws as long as it does not impose an undue hardship on the Company. Please inform the Company's Human Resources Representative if you need assistance completing any forms or to otherwise participate in the application process.
Click below to review information about our company's use of the federal E-Verify program to check work eligibility:
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About Circle K

Sourced by ZipRecruiter

Circle K Stores are owned by Alimentation Couche-Tard, the largest convenience store operator in Canada. We are recognized for our strong food service brands, Simply Great Coffee, and of course our icy cold, flavour abundant Frosters. Our innovative store design and merchandising is second to none.

Industry

Retail

Company size

10,000+ Employees

Headquarters location

Tempe, AZ, US

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