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Intern Databricks Data Engineer Jobs in Phoenix, AZ

Pwc

GenAI Python Systems Engineer-Manager

Phoenix, AZ

$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 · 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

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

$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 ...

Paychex

Data Solutions Engineer

Tempe, AZ

$98K - $160K/yr

Data Platform & Databricks Administration - Strong data engineering background with experience ... Benefits for part-time, contract, and intern roles may vary. Not sure if you meet every requirement?

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All JobsIntern Databricks Data Engineer JobsIntern Databricks Data Engineer Jobs in Phoenix, AZ

Intern Databricks Data Engineer information

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$25

$38

How much do intern databricks data engineer jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for intern databricks data engineer in Phoenix, AZ is $25.24, according to ZipRecruiter salary data. Most workers in this role earn between $20.53 and $28.65 per hour, depending on experience, location, and employer.

What is the difference between Intern Databricks Data Engineer vs Intern Data Analyst?

AspectIntern Databricks Data EngineerIntern Data Analyst
Required SkillsSQL, Python, Spark, Databricks platformExcel, SQL, data visualization tools
Work EnvironmentData engineering teams, cloud platformsBusiness intelligence teams, reporting environments
Industry UsageTech, finance, healthcareRetail, marketing, finance

Intern Databricks Data Engineers focus on building data pipelines and managing large-scale data workflows using Databricks and Spark, while Intern Data Analysts primarily analyze data and create reports. Both roles require SQL and basic programming skills, but Data Engineers need more technical expertise in data infrastructure, whereas Data Analysts focus on interpreting data for business insights.

What are the most commonly searched types of Databricks Data Engineer jobs in Phoenix, AZ? The most popular types of Databricks Data Engineer jobs in Phoenix, AZ are:
What are popular job titles related to Intern Databricks Data Engineer jobs in Phoenix, AZ? For Intern Databricks Data Engineer jobs in Phoenix, AZ, the most frequently searched job titles are:
What job categories do people searching Intern Databricks Data Engineer jobs in Phoenix, AZ look for? The top searched job categories for Intern Databricks Data Engineer jobs in Phoenix, AZ are:
Intern Databricks Data Engineer jobs near you
Infographic showing various Intern Databricks Data Engineer job openings in Phoenix, AZ as of July 2026, with employment types broken down into 76% Full Time, 6% Temporary, and 18% Contract. Highlights an 88% In-person, and 12% Remote job distribution, with an average salary of $52,492 per year, or $25.2 per hour.
Databricks Platform Architect

Databricks Platform Architect

Koantek

Chandler, AZ • On-site

Contractor

Re-posted yesterday

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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