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Remote Data Engineering Apprenticeship Jobs in Phoenix, AZ

TEEMA

Software Automation Engineer

Phoenix, AZ · Remote

$120K - $130K/yr

Remote (Must reside in an approved state - see below) Employment Type: Full-Time Compensation ... General Experience: 5+ years in Software Development or Data Engineering with a focus on ETL and ...

TEEMA

Senior Automation Engineer

Phoenix, AZ · Remote

$140K - $150K/yr

Remote (Must reside in an approved state - see below) Employment Type: Full-Time Compensation ... General Experience: 8+ years in Software Development or Data Engineering with a strong emphasis on ...

Deloitte

GCP Engineer

Tempe, AZ · On-site +1

The practice helps clients modernize technology and data platforms and apply engineering to mission ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

The State of Arizona

DATA ANALYST INTERMEDIATE

Phoenix, AZ · On-site +1

$65.97K - $120.53K/yr

All work, including remote work, should be performed within Arizona unless an exception is properly ... Partner with the IDS Director and Principal Data Engineer to expand integrated datasets within the ...

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Remote Data Engineering Apprenticeship information

What are the key skills and qualifications needed to thrive as a Remote Data Engineering Apprentice, and why are they important?

To excel as a Remote Data Engineering Apprentice, you need a foundational understanding of programming (especially Python or SQL), data modeling, and database management, typically supported by relevant coursework or a degree in computer science or a related field. Familiarity with cloud platforms (like AWS or Google Cloud), ETL tools, and version control systems (such as Git) is often required, and certifications in these areas can be beneficial. Strong problem-solving, communication, and self-motivation are vital soft skills for collaborating virtually and adapting to new challenges. These skills ensure you can effectively contribute to data projects, learn quickly in a remote environment, and support team goals in a rapidly evolving field.

What are some common challenges faced by remote data engineering apprentices, and how can they be effectively managed?

Remote data engineering apprentices often encounter challenges such as limited face-to-face mentorship, managing time zones, and ensuring strong communication with team members. To overcome these, it helps to proactively schedule regular check-ins with mentors, set clear daily goals, and utilize collaboration tools like Slack or Jira. Establishing a dedicated workspace and adhering to a structured routine can also foster productivity and help apprentices stay engaged with their projects and team.

What is a Remote Data Engineering Apprenticeship?

A Remote Data Engineering Apprenticeship is a structured training program where individuals learn the fundamentals of data engineering while working remotely. Apprentices typically gain hands-on experience with data pipelines, databases, and tools such as SQL, Python, and cloud services under the supervision of experienced mentors. The goal is to prepare apprentices for a full-time role as a data engineer by exposing them to real-world projects and industry best practices. This type of apprenticeship is ideal for those looking to start a career in data engineering while benefiting from the flexibility of remote work.

What is the difference between Remote Data Engineering Apprenticeship vs Remote Data Engineer?

AspectRemote Data Engineering ApprenticeshipRemote Data Engineer
Required CredentialsTypically entry-level, often requiring basic programming or data fundamentalsUsually requires a bachelor's degree in computer science, data science, or related field, with experience in data tools
Work EnvironmentTraining-focused, often part-time or structured learning programsFull-time remote role with project responsibilities
Employer & Industry UsageUsed by companies to train new talent; common in tech and data-driven industriesHired as a professional to develop and maintain data pipelines and systems

The Remote Data Engineering Apprenticeship is an entry-level training program designed to develop foundational skills in data engineering, often with mentorship and structured learning. In contrast, a Remote Data Engineer is a full-time professional responsible for building and managing data infrastructure. The apprenticeship prepares individuals for a career in data engineering, while the data engineer role involves applying those skills in real-world projects.

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What cities near Phoenix, AZ are hiring for Remote Data Engineering Apprenticeship jobs? Cities near Phoenix, AZ with the most Remote Data Engineering Apprenticeship job openings:
Remote Data Engineering Apprenticeship jobs near you
Infographic showing various Remote Data Engineering Apprenticeship job openings in Phoenix, AZ as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

Director - Responsible AI, Governance & Compliance - AIRLHV

NavitasPartners

Chandler, AZ • On-site, Remote

Other

Posted yesterday

Job description

Director - Responsible AI, Governance & Compliance 

Location: US / Canada (Remote/Hybrid) 
Type: Contract / Full-Time 

Overview: 

We are looking for a Director-level leader to drive Responsible AI, governance, and compliance across enterprise AI and data initiatives. 

Key Responsibilities: 

  • Lead enterprise AI governance strategy and implementation  
  • Establish frameworks for ethical AI, compliance, and regulatory alignment  
  • Oversee governance for AI/ML and GenAI deployments  
  • Collaborate with stakeholders across data, engineering, and business teams  

Required Skills: 

  • Deep expertise in AI governance, compliance, and regulatory frameworks  
  • Strong cloud exposure (AWS, Azure, GCP)  
  • Proven leadership in enterprise-scale AI programs  

Nice to Have / Coverage: 

  • Experience with enterprise data platforms (Databricks, Snowflake, Synapse, BigQuery)  
  • Understanding of ML/AI engineering and MLOps pipelines  
  • Expertise in GenAI governance, agentic AI oversight  
  • Alignment with cloud/data platform architecture strategies  

For more details reach at resumes@navitassols.com.

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