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Internship Startup Data Engineer Jobs in Arizona

Instrata

Data Center Field Engineer

Chandler, AZ · On-site

... Data Center Field Engineer / Project Engineer to support hyperscale data center construction ... Internship or co-op experience acceptable for entry-level candidates). * Working knowledge of ...

Mondo

Data Scientist

Phoenix, AZ · On-site

$136K - $164K/yr

Design, validate, and evaluate solutions using Python, SQL, and other programming tools * Transform ... Startup mindset * Proficiency with Excel and PowerBI * Experience with commercial analytics ...

Cheez

Product Manager @ Social app startup

Glendale, AZ · On-site

Collaborate with the Founder/CEO, Engineering & Design team (ex-Google/Apple/Facebook/Microsoft) to ... Strong analytical and critical thinking abilities, with a data-driven approach to decision-making

Cheez

Product Manager @ Social app startup

Chandler, AZ · On-site

Collaborate with the Founder/CEO, Engineering & Design team (ex-Google/Apple/Facebook/Microsoft) to ... Strong analytical and critical thinking abilities, with a data-driven approach to decision-making

Cheez

Product Manager @ Social app startup

Yuma, AZ

Collaborate with the Founder/CEO, Engineering & Design team (ex-Google/Apple/Facebook/Microsoft) to ... Strong analytical and critical thinking abilities, with a data-driven approach to decision-making

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All JobsStartup Data Engineer JobsInternship Startup Data Engineer JobsInternship Startup Data Engineer Jobs in Arizona

Internship Startup Data Engineer information

What is the difference between Internship Startup Data Engineer vs Junior Data Analyst?

AspectInternship Startup Data EngineerJunior Data Analyst
Required CredentialsBasic programming, SQL, data managementStatistical knowledge, Excel, SQL
Work EnvironmentStartup, fast-paced, hands-on projectsCorporate or startup, data reporting and analysis
Employer & Industry UsageTech startups, data-driven companiesVarious industries, marketing, finance, retail
Search & Comparison IntentLearning, entry-level experience, internship opportunitiesData analysis skills, entry-level roles

Internship Startup Data Engineers focus on building data pipelines and managing data infrastructure, often requiring basic programming and SQL skills. Junior Data Analysts primarily analyze data, generate reports, and interpret results. Both roles are entry-level but differ in technical focus and daily tasks, with internships offering hands-on experience in startup environments and analyst roles emphasizing data interpretation.

What does an internship startup data engineer do?

An Internship Startup Data Engineer assists in building and maintaining data pipelines and architectures that help startups collect, process, and analyze data. They often work closely with engineers and data scientists to ensure data is accessible and reliable for business needs. Responsibilities may include cleaning and transforming raw data, working with databases, and helping implement data solutions in cloud environments. Interns are expected to learn quickly, adapt to fast-paced changes, and contribute to projects that impact the startup’s growth.

What types of projects and responsibilities can I expect as an internship startup data engineer?

As an Internship Startup Data Engineer, you'll typically work on a variety of hands-on projects such as building data pipelines, cleaning and transforming raw data, and assisting with setting up databases or cloud data solutions. You may collaborate closely with software engineers, data scientists, and product managers to support analytics initiatives or improve data infrastructure. Startups often provide interns with opportunities to take ownership of smaller projects and contribute directly to core products, offering valuable exposure to the full lifecycle of data engineering tasks. Expect a fast-paced environment where adaptability and proactive learning are highly valued.

What are the key skills and qualifications needed to thrive as an internship startup data engineer, and why are they important?

To excel as an Internship Startup Data Engineer, you typically need a background in computer science, statistics, or a related field, along with foundational knowledge in data structures and algorithms. Familiarity with programming languages like Python or SQL, experience with data processing frameworks (such as Pandas or Spark), and version control tools like Git are commonly required. Strong problem-solving abilities, adaptability, and effective communication skills will help you stand out in a dynamic startup environment. These skills are essential for efficiently managing and analyzing data to support rapid product development and informed decision-making in a fast-paced setting.
What are the most commonly searched types of Startup Data Engineer jobs in Arizona? The most popular types of Startup Data Engineer jobs in Arizona are:
What are popular job titles related to Internship Startup Data Engineer jobs in Arizona? For Internship Startup Data Engineer jobs in Arizona, the most frequently searched job titles are:
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What cities in Arizona are hiring for Internship Startup Data Engineer jobs? Cities in Arizona with the most Internship Startup Data Engineer job openings:
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Infographic showing various Internship Startup Data Engineer job openings in Arizona as of June 2026, with employment types broken down into 40% Internship, and 60% Full Time. Highlights an 100% In-person job distribution.

Data Center Services Mechanical Commissioning Engineer

CAI

Phoenix, AZ • On-site

$91K - $107K/yr

Full-time

Re-posted 8 days ago

Job description

THIS IS NOT A DATA ENGINEERING RELATED POSITION
 
CAI seeks Mechanical Commissioning Engineers with a minimum of five to seven years' experience in Data Center Commissioning to support development and execution of all mechanical aspects of commissioning projects.
 
Position Description:
This position supports development and execution of all mechanical aspects of assigned commissioning projects from initial engagement, design reviews, checklists, safety support, script development, vendor coordination, testing and report development through turn over to the client. The Mechanical Commissioning Engineer will support the development of the mechanical test schedule, finalize mechanical test procedures, review project submittals for consistency with the design intent, basis of design and the owner’s project requirements, and maintain project cadence for the mechanical systems testing and associated Building Automation Systems. The Mechanical Commissioning Engineer is to support the planning and execution of commissioning for the mechanical infrastructure of the mission critical facility. They will be expected to execute against the project schedule through the coordination of contractors and/or vendors to complete the desired mechanical systems testing.
 
CAI DC Mechanical Commissioning Engineer will be exposed to cutting edge technologies in the Hyperscale and other spaces. You will have an opportunity to work with recognized subject matter experts allowing YOU to be a key player in bringing data technologies to market. As part of our company culture, we invest in YOUR future, and commit to hands on certifications as well as professional training. Our collaborative culture ensures that our customers benefit from exemplary work across our entire range of professional services.
 
Responsibilities:
Support and contribute to all aspects of safety for all mechanical tests.
Support complete commissioning and performance acceptance testing of the mechanical infrastructure systems.
Development of all mechanical test procedures, MOPS, SOO’s and checklists.
QA/QC of all mechanical test procedures.
Provide input and insight to the overall commissioning plan.
Develop reports for the mechanical testing and contribute to a daily report to the Commissioning Project Manager.
Attend and be an active participant of customer equipment Factory Witness Test
Assist with vendor coordination and management.
Perform equipment inspection to ensure build adherence to vendor submittal.
Provide test documentation that equipment is delivered, installed, and tested correctly and set to function properly for the customer.
Support and perform design specification review, manufacturer submittals, one line drawing sets, and project schedule documentation.
QA/QC of mechanical equipment installation\startup
Execute test scripts to confirm equipment and system operation to design specification.
Ensure safe work practices are followed by the commissioning team and customer site.
Engage with customers and vendors to ensure positive experience, goals achievement, and schedule adherence.
Provide daily status reports for mechanical commissioning team status.
Conduct facility walk downs, turnover, and punch list reviews.
General understanding of LEED specifications and requirements.
Look for new opportunities for CAI to provide service and value to customer.
Duties may be increased as experience and skill allow.
 
Requirements include:
Position Requirements: 
Bachelor’s degree or equivalent experience
Minimum of five to seven years Data Center Commissioning experience.
Knowledge of OSHA safety requirements.
Good written and verbal communication skills.
Ability to read and interpret mechanical drawings, P&ID’s and specifications.
Knowledge of mission critical design concepts.
Knowledge of various Building Automation/Monitoring Systems (BAS/BMS), Air Handlers, Humidifiers, Variable Refrigerant Flow, Computer Room Air Conditioners/Handlers (CRAC/CRAH), Evaporators, Adiabatic Coolers, Pressure/Temperature/Humidity sensors & Flowmeters.
Knowledge of basic thermodynamics and heat transfer and fluid flow.
Knowledge of the Test, Adjust and Balance (TAB) process.
Knowledge of mechanical trend analysis.
Strong experience with Word, Excel and PowerPoint. Can effectively create final products in all three programs.
Work under construction site conditions
 
Other Requirements: 
Excellent oral and written English is required
Extensive travel may be required (75%)
Candidates must have a Passport or the ability to immediately get a Passport
Able to work in the US without sponsorship now or any time in the future. 
 
About CAI
CAI is a 100% employee-owned company established in 1996, that has grown year over year to more than 800 people worldwide. We provide commissioning, qualification, validation, start-up, project management and consulting services related to operational readiness to FDA regulated and other mission critical industries.
 
Are You Ready?
Our approach is simple; we put the client’s interests first, we do not stop until it is right, and we will do whatever it takes to get there.
As owners of CAI, we are committed to living our Foundational Principles, both professionally and personally:
We act with integrity
We serve each other
We serve society
We work for our future
 
With employee ownership, one person’s success is everyone’s success; we work diligently to accomplish team goals. We place Team Before Self, demonstrate Respect for Others, and possess a can-do attitude. That is how we have grown exponentially.
 
Benefits
Our full-time positions offer competitive compensation and benefits which include: up to 15% retirement contribution, 24 days PTO and 5 sick days per year, health insurance at extremely low cost to employee, financial support for both internal and external professional education as well as 70% long term disability paid for by the company.
#LI-MV1 #MISSIONCRITICAL
Average salary range, not including benefits or compensatory time and possible discretionary bonuses.
 
CAI Benefits:
•Comprehensive Health Insurance coverage
•24 days of Paid Time Off
•ESOP/401K - 15% Company Contribution (US Only)
•Company paid Life Insurance
•Company paid Long Term Disability
We are an equal opportunity employer; we are proud to employ veterans and promote a diverse culture in our workplace. Diversity is a strength for our global company. We pledge that CAI will be operated in a way that is fair and equitable to all – our employees, our customers, and the broader society.
 
This job description is not all inclusive and you may be asked to do other duties. CAI will also consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the FCO. 

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.