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Remote Internship Data Engineering Jobs in Arizona

Product Owner

Phoenix, AZ · Remote

$55 - $60/hr

Remote (PST hours) Start Date Is: ASAP Duration: 12-month contract (potential to convert ... Act as Product Owner within Agile/Scrum teams supporting data engineering and BI initiatives

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... Develops best practices for engaging with Data Engineering and IT to deploy production-ready ...

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... Develops best practices for engaging with Data Engineering and IT to deploy production-ready ...

You will have the flexibility to work fully remote from anywhere across Arizona. Insight at a ... At least 5 years specifically focused on Data Engineering, Analytics, or Machine Learning. * Cloud ...

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Remote Internship Data Engineering information

What is the difference between Remote Internship Data Engineering vs Remote Internship Data Analyst?

AspectRemote Internship Data EngineeringRemote Internship Data Analyst
Required SkillsSQL, Python, ETL, data pipeline developmentExcel, SQL, data visualization tools
Work EnvironmentCollaborative teams, cloud platforms, coding tasksData reporting, analysis, visualization
Industry UsageTech, finance, healthcareMarketing, retail, finance

Remote Internship Data Engineering focuses on building and maintaining data pipelines and infrastructure, requiring coding and technical skills. In contrast, Remote Internship Data Analyst emphasizes analyzing data, creating reports, and visualizations. Both roles often share similar credentials but differ in daily tasks and technical depth, making them distinct yet related internship opportunities in data careers.

What job categories do people searching Remote Internship Data Engineering jobs in Arizona look for? The top searched job categories for Remote Internship Data Engineering jobs in Arizona are:
What cities in Arizona are hiring for Remote Internship Data Engineering jobs? Cities in Arizona with the most Remote Internship Data Engineering job openings:
Product Owner

Product Owner

Mondo

Phoenix, AZ • Remote

$55 - $60/hr

Contractor

Medical, Dental, Vision, Retirement

This job post has expired today. Applications are no longer accepted.


Job description

Apply now: Product Owner, location is Remote. The start date is ASAP for this 12-month contract position.

Job Title: Product Owner
Location-Type: Remote (PST hours)
Start Date Is: ASAP
Duration: 12-month contract (potential to convert)
Compensation Range: $55/hr – $60/hr W2
Benefits: Eligible for Health, Dental, Vision, 401K
Must be authorized to work in the U.S. This position is not eligible for sponsorship .

Job Description:
Drive the delivery of enterprise analytics and BI solutions by owning product strategy, backlog, and execution within Agile data teams.

Job Summary:

  • Act as Product Owner within Agile/Scrum teams supporting data engineering and BI initiatives
  • Translate business needs into user stories and actionable requirements
  • Manage and prioritize product backlog focused on high-value analytics deliverables
  • Lead Agile ceremonies (stand-ups, sprint planning, retrospectives, etc.)
  • Partner with stakeholders to align on product vision, priorities, and outcomes
  • Oversee development of dashboards, data pipelines, and analytics solutions
  • Monitor team performance and remove blockers to ensure timely delivery
  • Support product adoption through training materials, documentation, and communication
  • Analyze data outputs to validate BI solutions and inform product decisions

Minimum Requirements:

  • 5 years of experience in Product Ownership within analytics or BI environments
  • Strong background in data architecture and data pipelines
  • Experience working with data engineering and BI teams
  • Proficiency in SQL and familiarity with Python scripting
  • Exposure to Medallion architecture
  • Hands-on experience with BI tools (e.g., Power BI)
  • Experience working with Snowflake or similar cloud data platforms
  • Strong communication skills with ability to translate vision into execution
  • Experience driving team performance and delivery outcomes
  • Solid project management skills across full product lifecycle
Preferred Qualifications:
  • Experience with AI/ML or data science initiatives
  • Experience supporting operational analytics (e.g., routing, logistics)
  • Background in change management and user adoption strategies