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Trainee Databricks Data Engineer Jobs in Arizona

Pwc

GenAI Python Systems Engineer-Manager

Phoenix, AZ · On-site

$99K - $232K/yr

Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Proficient in Python and SQL - Experience with Docker and ...

Salt River Project

Principal Data Engineer

Tempe, AZ · On-site

Deep expertise with cloud-based data tools (Azure, Databricks, Synapse, Snowflake, or similar ... Experience mentoring other engineers and influencing engineering best practices. Preferred ...

Salt River Project

Principal Data Engineer

Tempe, AZ · On-site

Deep expertise with cloud-based data tools (Azure, Databricks, Synapse, Snowflake, or similar ... Experience mentoring other engineers and influencing engineering best practices. Preferred ...

Avnet, Inc.

Databricks Administrator

Tempe, AZ

... Databricks, Apache Spark, Delta Lake, and modern data engineering practices ... Collaborates with data engineers, data scientists, analysts, business stakeholders, and technology ...

Avnet, Inc.

Databricks Administrator

Phoenix, AZ

... Databricks, Apache Spark, Delta Lake, and modern data engineering practices ... Collaborates with data engineers, data scientists, analysts, business stakeholders, and technology ...

Avnet, Inc.

Databricks Administrator

Tempe, AZ

... Databricks, Apache Spark, Delta Lake, and modern data engineering practices ... Collaborates with data engineers, data scientists, analysts, business stakeholders, and technology ...

Avnet, Inc.

Databricks Administrator

Tempe, AZ · On-site

... Databricks, Apache Spark, Delta Lake, and modern data engineering practices ... Collaborates with data engineers, data scientists, analysts, business stakeholders, and technology ...

Avnet, Inc.

Databricks Administrator

Phoenix, AZ

... Databricks, Apache Spark, Delta Lake, and modern data engineering practices ... Collaborates with data engineers, data scientists, analysts, business stakeholders, and technology ...

Pwc

Data Engineer - Senior Associate

Phoenix, AZ · On-site

$77K - $202K/yr

... Engineer - Senior Associate, you will focus on designing and building data infrastructure and ... Databricks Unified Data Analytics Platform for advanced data analytics and visualization ...

Circle K

Senior Manager Data Architecture

Tempe, AZ · On-site

$65.50 - $87.50/hr

... data engineering, BI, analytics, platform, governance, product, and business leaders. • Guide ... Snowflake, Databricks, lakehouse, warehouse, and data product patterns. • Stay technically ...

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 ...

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Trainee Databricks Data Engineer information

What is the difference between Trainee Databricks Data Engineer vs Junior Data Engineer?

AspectTrainee Databricks Data EngineerJunior Data Engineer
Required CredentialsBasic knowledge of Databricks, SQL, and data fundamentalsDegree in Computer Science or related field, some experience with data tools
Work EnvironmentTraining programs, mentorship, entry-level projects on Databricks platformEntry-level to mid-level data teams, real-world data projects
Employer & Industry UsageTech companies, data consulting firms, startups focusing on cloud data platformsVariety of industries including finance, healthcare, retail, with data teams

The Trainee Databricks Data Engineer is an entry-level role focused on learning Databricks and data engineering fundamentals, often within training programs. In contrast, a Junior Data Engineer typically has some hands-on experience and works on real data projects. Both roles are common in tech-driven industries, but the trainee position emphasizes skill development, while the junior role involves more independent work.

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 Trainee Databricks Data Engineer jobs in Arizona? For Trainee Databricks Data Engineer jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Trainee Databricks Data Engineer jobs in Arizona look for? The top searched job categories for Trainee Databricks Data Engineer jobs in Arizona are:
What cities in Arizona are hiring for Trainee Databricks Data Engineer jobs? Cities in Arizona with the most Trainee Databricks Data Engineer job openings:
Trainee Databricks Data Engineer jobs near you
Infographic showing various Trainee Databricks Data Engineer job openings in Arizona as of July 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Databricks Platform Architect

Databricks Platform Architect

Koantek

Chandler, AZ • On-site

Contractor

Re-posted 29 days ago

Job description


Job Title: Lead Data Platform Architect / Data bricks Migration Lead
Location: Remote
Position Type: Contract
Job Overview
We are seeking an accomplished, technology-driven Lead Data Platform Architect / Migration Specialist to spearhead the modernization of our core enterprise financial and tax allocation engines. In this role, you will lead the architectural design, definition of migration strategies, and hands-on implementation to transition large-scale legacy relational database systems (SQL Server/T-SQL) into a modern, cloud-native Databricks Lakehouse platform.
The ideal candidate will have extensive experience in high-throughput distributed systems, Databricks compute optimization, performance tuning, and complex pipeline orchestration.
Key Responsibilities
  • Architecture & Strategy: Validate, refine, and own the target architecture on Databricks. Define robust migration strategies and production-ready reference patterns to convert 150+ complex stored procedures into PySpark and Structured/Declarative Pipelines (SDP).
  • Pipeline Engineering: Design distributed processing frameworks, control flows, and configuration-driven parameter handling for both full and incremental recalculation modes.
  • Performance Optimization: Address performance deltas between small and large workloads. Architect and implement acceleration techniques such as caching, partition pruning, cluster sizing, and offline/pre-calculation strategies to maintain sub-30-second user-facing reporting SLAs.
  • Orchestration & Observability: Design and deploy enterprise-level pipeline orchestration using tools like Apache Airflow or Databricks Workflows. Integrate robust logging, error handling, and observability patterns into existing enterprise monitoring frameworks.
  • Governance & Security: Implement data governance models, data lineage, and schema evolution utilizing tools like Unity Catalog.
  • AI-Assisted Delivery & Code Quality: Establish best practices for AI-assisted code generation (e.g., using Claude or advanced LLMs), providing code-review patterns and refactoring frameworks to ensure maintainable and performant output.
  • Team Enablement: Lead code walkthroughs, design reviews, and pair-programming sessions with the development team to accelerate knowledge transfer and technical excellence.
Required Technical Skills & Qualifications
  • Core Big Data Platform: Deep expert-level knowledge of Databricks (Lakehouse architecture, Delta Lake, Unity Catalog) and Apache Spark / PySpark.
  • Legacy Database Expertise: Strong background in relational databases, with advanced proficiency in SQL Server, T-SQL, and Stored Procedures. Ability to reverse-engineer and refactor legacy database logic into distributed paradigms.
  • Orchestration Tools: Hands-on experience with Apache Airflow or similar modern workflow orchestrators.
  • Performance Tuning: Proven track record in cost optimization (FinOps), cluster tuning, autoscaling configurations, and handling skewed data profiles.
  • CI/CD & DevOps: Experience with Infrastructure as Code (Terraform), data build tool (dbt), testing frameworks (PyTest), and automated Git-based workflows.
  • Experience Level: 10+ years of experience in Data Engineering/Architecture, with at least 3+ years specifically leading large-scale cloud data migrations.
    Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.
Preferred Certifications
  • Databricks Certified Data Engineer Associate / Professional
  • Databricks Certified Solutions Architect
  • AWS Certified Database Specialist or equivalent Cloud Certifications

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