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Flexible Databricks Data Engineer Jobs in Arizona

Phoenix Staff

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 ...

Globe Telecom, Inc.

Data Modeler

Globe, AZ

$52 - $67.50/hr

Certifications related to Cloud Data Architecture (e.g., AWS Certified Data Analytics, Google Cloud Professional Data Engineer, or Databricks Certified Data Engineer) is a plus. Equal Opportunity ...

Confiz Limited

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 ...

Innova Solutions, Inc

Data Engineer

Phoenix, AZ · On-site

$50 - $55/hr

A client of Innova Solutions is immediately hiring for a Data Engineer Job Type: Full-Time / ... and Flexible spending account (FSA), Life Insurance, Pet Insurance, Short term and Long term ...

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Flexible Databricks Data Engineer information

What is the difference between Flexible Databricks Data Engineer vs Cloud Data Engineer?

AspectFlexible Databricks Data EngineerCloud Data Engineer
CredentialsProficiency in Databricks, Spark, SQL, Python, cloud platforms (AWS, Azure, GCP)Cloud platform certifications (AWS, Azure, GCP), SQL, Python, data pipeline skills
Work EnvironmentData engineering within Databricks environment, collaborative teams, cloud infrastructureDesigning and managing data solutions on cloud platforms, often across multiple services
Industry UsageTech, finance, healthcare, retail using Databricks for big data processingBroad industry use, focusing on cloud infrastructure and data pipelines

Flexible Databricks Data Engineers specialize in building data pipelines within the Databricks platform, leveraging Spark and cloud services. Cloud Data Engineers focus on designing and maintaining data solutions across various cloud environments. Both roles require cloud and SQL skills, but the Databricks Data Engineer emphasizes Databricks-specific tools and Spark expertise.

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 cities in Arizona are hiring for Flexible Databricks Data Engineer jobs?

Cities in Arizona with the most Flexible Databricks Data Engineer job openings:

Flexible Databricks Data Engineer jobs near you

Mid-Senior Data Engineer

Phoenix Staff

Phoenix, AZ • Hybrid

$100K - $115K/yr

Full-time

Re-posted 10 days ago

Job description

Job Title: Data Engineer (Mid-Level to Senior)

Location: Hybrid / Onsite as needed (project-dependent)

Salary: $100,000 - $115,000


We are partnering with an organization seeking a skilled Data Engineer to support the design, build, and optimization of a modern data platform. This role focuses on developing scalable data pipelines and infrastructure that power analytics, reporting, and AI initiatives. The ideal candidate is comfortable working across Fabric and the modern Microsoft data stack (e.g., Azure Data Factory, Azure Data Lake Storage, Azure SQL Database / Managed Instance, Cosmos DB, etc.) and enjoys solving complex data transformation and integration challenges in a collaborative environment.


Your role:

  • Design, build, and maintain ETL/ELT pipelines using Azure Data Factory and related tools.
  • Architect and manage data lake and data warehouse solutions.
  • Transform and move data across relational, NoSQL, and object storage systems.
  • Collaborate with engineering and product teams to define data requirements and solutions.
  • Monitor, troubleshoot, and optimize data pipelines for performance and reliability.
  • Ensure data quality and integrity across systems.
  • Document data flows, schemas, and architecture decisions.
  • Contribute to data platform strategy and ongoing improvements.


What you’ve got:

  • 3+ years of experience for mid-level candidates; 6+ years for senior-level candidates.
  • Strong experience with Azure Data Factory or similar ETL/ELT tools.
  • Solid understanding of database design (relational modeling, normalization/denormalization).
  • Experience with data lakes and/or data warehouses (Azure Data Lake, Microsoft Fabric, etc.).
  • Experience transforming structured, semi-structured, and unstructured data.
  • Proficiency in SQL and experience with Azure SQL Database and/or Azure SQL Managed Instance.
  • Familiarity with Azure data services and the Microsoft data ecosystem.
  • Strong problem-solving skills and ability to work both independently and collaboratively.


Preferred:

  • Experience with Cosmos DB or other NoSQL platforms.
  • Knowledge of KQL and Azure Monitor / Data Explorer.
  • Experience with object storage and file-based data architectures.
  • Exposure to analytics or data science tools (Databricks, Azure ML, etc.).
  • Understanding of data governance, lineage, and cataloging best practices.


To find more great tech-centric jobs, please visit www.phoenixstaff.com