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Part Time Data Engineering Jobs in Arizona (NOW HIRING)

Phoenix Staff

CAD / GIS Technician (Part-Time)

Phoenix, AZ · On-site

$30 - $35/hr

... engineering team on a part-time basis. This position will assist with maintaining, updating, and organizing project drawings and mapping data to support ongoing field and office operations. The ideal ...

New

Lunewave, Inc.

PT Test Engineer

Tucson, AZ · On-site

Lunewave Inc. is looking for a part time test engineering to join the hardware testing team for 15 ... Following the conclusion of the testing, the collected data will be added to the companies ...

Lunewave, Inc.

PT Test Engineer

Tucson, AZ · On-site

Lunewave Inc. is looking for a part time test engineering to join the hardware testing team for 15 ... Following the conclusion of the testing, the collected data will be added to the companies ...

Stantec

Generative AI Developer

Phoenix, AZ · On-site

$104K - $152K/yr

Collaborate with product owners, engineering, security, and data teams to design solutions that ... Regular full-time and part-time employees (working at least 20 hours per week) have access to ...

Stantec

Structural Engineer

Phoenix, AZ · On-site

This is an exciting opportunity to work on state-of-the-art cleanrooms, research labs, data centers ... Bachelor's degree in Civil or Structural Engineering (Master's preferred). * 5+ years of experience ...

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All JobsData Engineering JobsPart Time Data Engineering JobsPart Time Data Engineering Jobs in Arizona

Part Time Data Engineering information

What are the key skills and qualifications needed to thrive as a Part Time Data Engineer, and why are they important?

To thrive as a Part Time Data Engineer, you need proficiency in programming languages like Python or SQL, knowledge of database management, and a degree in computer science or a related field. Familiarity with data warehousing tools, ETL processes, and platforms such as AWS, Google Cloud, or Apache Spark is typically required. Strong problem-solving abilities, attention to detail, and effective communication help individuals excel in this flexible role. These skills ensure accurate data pipelines, efficient data processing, and successful collaboration with cross-functional teams, even in a part-time capacity.

What is a part-time data engineering job?

A part-time data engineering job involves working fewer hours than a full-time position, typically focusing on building and managing data pipelines, organizing data storage, and ensuring data quality for organizations. Part-time data engineers may work on specific projects or provide support to larger teams, often with flexible schedules. They use programming languages and tools like Python, SQL, and cloud platforms to move, transform, and optimize data. This role is ideal for those seeking work-life balance, students, or professionals looking to gain experience or supplement their income.

How does a part-time data engineering role typically balance project responsibilities with limited working hours?

In a part-time data engineering position, tasks are often scoped to fit within your available hours, focusing on specific projects or maintenance work rather than broader, ongoing initiatives. You’ll likely collaborate closely with full-time engineers to ensure hand-offs are smooth and that you’re aligned on priorities. Clear communication and proactive time management are essential, as you may need to coordinate across teams or adjust your workload to meet deadlines. Many organizations also provide flexible scheduling and clear documentation practices to help part-time team members stay integrated and productive.

What is the difference between Part Time Data Engineering vs Part Time Data Analysis?

AspectPart Time Data EngineeringPart Time Data Analysis
Required CredentialsTypically requires knowledge of SQL, Python, ETL tools, and cloud platformsRequires skills in SQL, Excel, data visualization tools, and basic statistical knowledge
Work EnvironmentOften involves building data pipelines, managing databases, and working with data infrastructureFocuses on interpreting data, creating reports, and providing insights
Employer & Industry UsageUsed in tech companies, finance, and e-commerce for data infrastructure rolesCommon in marketing, consulting, and business intelligence roles across industries

Part Time Data Engineering involves developing and maintaining data pipelines and infrastructure, requiring technical skills in programming and cloud platforms. In contrast, Part Time Data Analysis centers on interpreting data, creating reports, and providing insights, often using visualization tools. Both roles are essential in data-driven organizations but differ in technical complexity and focus.

What are the most commonly searched types of Data Engineering jobs in Arizona? The most popular types of Data Engineering jobs in Arizona are:
Part Time Data Engineering jobs near you
Infographic showing various Part Time Data Engineering 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.
Data Analytics Internship - On-site in Scottsdale, AZ

Data Analytics Internship - On-site in Scottsdale, AZ

Vitalant

Scottsdale, AZ • On-site

$20/hr

Part-time

Re-posted 7 days ago

Vitalant rating

6.2

Company rating: 6.2 out of 10

Based on 67 frontline employees who took The Breakroom Quiz

696th of 882 rated healthcare providers

Job description

At Vitalant, the impact you make doing work that is purposeful, meaningful, and worthwhile is vital. As a member of our non-profit organization, you can be impact-inspired to provide vital clinical services to communities nationwide, vital products to those in need of a donor's generosity, or vital scientific research that advances blood safety worldwide.
Work Shift (if applicable):
Shift 1 (United States of America)
Job Description:
Compensation: $20.00/ hour
Vitalant is hiring a Data Analytics Intern to help advance our life-saving mission through meaningful, data-driven insights. This part-time role offers fully flexible scheduling Monday through Thursday, with opportunities to work 16-24 hours per week based on your availability during the current school semester and into the Summer break. This internship will work on-site at our Scottsdale, AZ office - remote or hybrid options are not available.
In this Data Analytics Internship, you will:
  • Support Advanced Analytics initiatives by preparing datasets, conducting exploratory data analysis (EDA), and assisting with machine-learning workflows in Python.
  • Gain hands-on exposure to modern ML techniques used across our program, including tree-based models (XGBoost), neural networks (RNNs), and time-series forecasting approaches.
  • Collaborate with senior analysts, computer scientist and engineers to evaluate model performance and help operationalize insights.
  • Assist with BI and data-engineering tasks, including updating data pipelines, refining semantic models, and maintaining data quality across our BI ecosystem.
  • Work with Power BI and Looker to support ongoing enhancements as we expand our analytics presence.
  • Perform data validation, profiling, and quality checks to ensure accurate, trusted reporting and analytics.
  • Collaborate with cross-functional teams to gain real-world experience building analytics solutions in a complex, mission-driven organization.

This is an exceptional opportunity for students interested in Data Science, Computer Science, or Analytics to develop hands-on skills in BI, cloud technologies, and machine learning while contributing to meaningful, real-world projects that support a life-saving mission. If you are eager to grow in advanced analytics and ML, we would love to hear from you.
Requirements:
Knowledge/ Education
Enrolled in a formal intern program at an educational institution required.
Skills/ Abilities
Ability to work in a team environment.
Able to set priorities, organize and handle a variable workload.
Effective oral and written communication skills.
Must be self-motivated with good organizational skills.
Proficient personal computer skills.
Experience
No experience required.
Location:
9305 East Via de VenturaScottsdale, AZ 85258
Job Category:
Administrative Support
Contact Information: careers@vitalant.org
If you are impact-inspired to help others, and making a difference is vital for you, you'll experience a career built on purpose, a company created to care, and a team committed to lead - together.

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