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Temporary Databricks Data Engineer Jobs in Mesa, AZ

Fabric Data Engineer

Scottsdale, AZ · On-site

$115K - $138K/yr

... Databricks. * Experience with real-time and streaming data at scale, including event-driven ... Fabric Data Engineer Associate (DP-700) is highly preferred. * A bachelor's degree in a related ...

RIT Solutions, Inc. is seeking an AWS Data Engineer to join their team in Chandler, AZ. The role ... DataBricks • Glue, Spark, ETL • Python • CI/CD pipelines • Understanding of data warehouse ...

Full Stack Application Developer Location: Remote-USA Employment Type: Contract Department ... the Databricks Data Intelligence Platform. Familiarity integrating applications with custom ...

Join Deloitte's AI & Engineering practice and help organizations modernize enterprise cloud and data platforms on Azure. As an Azure/Databricks Infrastructure Engineer, you will design, implement ...

Mid-Senior Data Engineer

Phoenix, AZ · Hybrid

$100K - $115K/yr

Job Title: Data Engineer (Mid-Level to Senior) Location: Hybrid / Onsite as needed (project ... Exposure to analytics or data science tools (Databricks, Azure ML, etc.). * Understanding of data ...

Staff Data Engineer

Tempe, AZ · On-site

$140 - $210/hr

The Role Most data engineering roles hand you a Jira board. This one hands you a whiteboard and ... Cloud data warehouse architecture -- Snowflake, BigQuery, or Databricks. Clustering, partitioning ...

Principal AI Engineer

Phoenix, AZ · On-site

$180 - $230/hr

Define data architecture and pipelines using Databricks (Delta Lake, Unity Catalog, MLflow) for ... Collaborate with data engineers, ML engineers, full-stack developers, and product owners to ...

Temporary Assignment Description: Summary: We are seeking an experienced and highly skilled ... The ideal candidate will possess deep architectural knowledge of Azure Data Lake and Databricks, a ...

Showing results 41-60

Temporary Databricks Data Engineer information

See Mesa, AZ salary details

$44.1K

$128.7K

$176.1K

How much do temporary databricks data engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for temporary databricks data engineer in Mesa, AZ is $128,691.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,600.00 and $136,400.00 per year, depending on experience, location, and employer.

What is the difference between Temporary Databricks Data Engineer vs Temporary Spark Data Engineer?

AspectTemporary Databricks Data EngineerTemporary Spark Data Engineer
Required SkillsDatabricks platform, Spark, SQL, Python, cloud servicesApache Spark, Scala, Python, SQL, cloud environments
CertificationsDatabricks Certified Data Engineer, cloud certificationsApache Spark certifications, cloud certifications
Work EnvironmentCloud-based Databricks platform, collaborative environmentOn-premises or cloud Spark clusters, flexible environments
Industry UsageData engineering projects leveraging Databricks platformBig data processing using Spark in various environments

While both roles involve Spark and cloud skills, a Temporary Databricks Data Engineer specializes in the Databricks platform, offering integrated tools and collaborative features. A Temporary Spark Data Engineer focuses on Spark core technology, often working in diverse environments. The choice depends on the specific platform and tools used by the employer.

What are the most commonly searched types of Databricks Data Engineer jobs in Mesa, AZ?

The most popular types of Databricks Data Engineer jobs in Mesa, AZ are:

Fabric Data Engineer

Arrivia

Scottsdale, AZ • On-site

$115K - $138K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 19 days ago


Job description

Build the modern data backbone a global travel-rewards business runs on, work hands-on with the newest Microsoft Fabric and AI tooling, and coach the engineers coming up behind you.
About the Role
arrivia is looking for an experienced Fabric Data Engineer to take ownership of complex data pipeline architectures inside the Microsoft Fabric ecosystem. You will design and optimize enterprise-scale data solutions, set the technical standards the team works to, and mentor junior engineers along the way.
This work matters right now. You will help migrate an existing on-premise relational database into our modern cloud environment and play an instrumental role in decommissioning legacy data-warehouse systems. The pace is accelerating, and your pipelines are what let the business rely on accurate, up-to-date reports and dashboards.
Your impact reaches across the company. You will partner with analysts, data scientists, and business stakeholders to turn complex requirements into reliable, performant, well-governed data platforms, and the standards you set will shape how the whole team builds.
It is also a genuinely modern role. At arrivia, we are committed to AI-driven innovation, and you will work alongside the latest AI technologies, using LLMs, Model Context Protocol servers, and AI-assisted tools to accelerate delivery and raise engineering quality. You will also get flexible and hybrid work, certification support, and a clear path to grow into Senior, Lead, and Principal roles.
What You'll Own
  • Pipeline architecture: Architect and optimize end-to-end pipelines with Microsoft Fabric Data Factory, Dataflows Gen2, and PySpark and Spark SQL notebooks, built for scale and performance.
  • Lakehouse and warehouse design: Lead Lakehouse and Warehouse design on the medallion (Bronze, Silver, Gold) pattern, and set the best practices the team follows.
  • Cloud modernization: Help move on-premise relational data into OneLake and retire legacy data-warehouse systems, accelerating the shift to a modern cloud platform.
  • Real-time ingestion: Build low-latency streaming pipelines with Fabric Eventstream from sources such as Azure Event Hubs, IoT Hub, and custom applications.
  • Performance and reliability: Write highly optimized T-SQL, Spark SQL, and PySpark, and own incremental loads, refresh scheduling, and SLA monitoring so pipelines stay dependable.
  • AI-augmented engineering: Design pipelines that support Retrieval-Augmented Generation, including chunking, embeddings, and vector search, and use LLMs and MCP servers to speed up and improve how the team works.
  • Data governance: Champion governance through sensitivity labels, role-based access controls, and cataloging in Microsoft Purview.
  • CI/CD and engineering standards: Drive CI/CD with Fabric deployment pipelines, Git branching strategies, and automated testing for data assets.
  • Trusted reporting layers: Maintain Power BI semantic models where needed, so enterprise reporting stays consistent and accurate.
  • Mentorship: Coach Fabric Data Engineer I team members through code reviews, pair programming, and knowledge sharing, and help lead architectural reviews and continuous improvement.

What You'll Bring
  • 3 to 5 years in data engineering, ETL and ELT development, or a related analytics engineering role.
  • Strong SQL across T-SQL and Spark SQL, and strong Python with PySpark. Working knowledge of Scala is a plus.
  • Several years working with Apache Spark and lakehouse data at scale, writing PySpark and Spark SQL notebooks against large datasets, with real performance-tuning experience.
  • Solid grounding in lakehouse architecture, data warehousing, dimensional modeling, and data vault methodology.
  • Hands-on experience with Microsoft Fabric or a comparable cloud data platform such as Azure Synapse or Databricks.
  • Experience with real-time and streaming data at scale, including event-driven architectures and tools like Azure Event Hubs or Kafka.
  • Familiarity with vector search, embeddings, and Retrieval-Augmented Generation patterns, plus hands-on use of LLMs and AI-assisted development tools.
  • Strong CI/CD habits across Fabric deployment pipelines, Git, and automated testing.
  • Demonstrated experience mentoring junior engineers and leading technical initiatives.
  • Microsoft Certified: Fabric Data Engineer Associate (DP-700) is highly preferred.
  • A bachelor's degree in a related field, or equivalent practical experience.

This role is multi-pronged, so you do not need every item above. Real strength across several of these areas, plus the drive to grow into the rest, goes a long way.
Benefits & Perks
  • Unlimited PTO
  • Exclusive employee travel rates
  • Travel discounts through arrivia programs
  • Medical, dental, and vision insurance
  • 401(k) with company participation

Who We Are
At arrivia, we power travel loyalty and rewards programs for some of the world's leading brands. Our teams help millions of travelers book memorable experiences while delivering innovative technology and travel solutions to our partners. With a global workforce and a culture built on curiosity, ownership, authenticity, and collaboration, we're creating the future of travel.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.