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Associate Data Engineer Jobs in Arizona (NOW HIRING)

Shamrock

Data Science Analyst

Phoenix, AZ · On-site

  • Medical

  • Retirement

  • PTO

The Data Science Analyst partners with business leaders, operations teams, IT, data engineering ... At Shamrock Foods Company, people come first - our associates, our customers, and the families we ...

Pwc

AI Engineer

Phoenix, AZ · On-site

$50K - $112K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Within our Internal Firm Services practice, you will apply data, algorithms, and software ... As an Associate, you will focus on learning and contributing to projects while developing your ...

Dutchbros

Associate Endpoint Engineer

Tempe, AZ

The Associate Endpoint Engineer will support the development and optimization of data solutions that enable teams to make better data-driven decisions. The role will involve building, maintaining ...

New

Master-Electronics

Data Scientist II

Phoenix, AZ · On-site

$120 - $160/hr

  • Medical

  • Life

  • Retirement

  • PTO

Partner with software engineers, data engineers, product managers, and subject-matter experts ... Databricks certifications (e.g., Machine Learning Associate/Professional) * Knowledge of model ...

Master Electronics

Data Scientist II

Phoenix, AZ · On-site

$120 - $170/hr

  • Medical

  • Life

  • Retirement

  • PTO

Partner with software engineers, data engineers, product managers, and subject-matter experts ... Databricks certifications (e.g., Machine Learning Associate/Professional) * Knowledge of model ...

Master Electronics

Data Scientist II

Phoenix, AZ · On-site

  • Medical

  • Life

  • Retirement

  • PTO

Partner with software engineers, data engineers, product managers, and subject-matter experts ... Databricks certifications (e.g., Machine Learning Associate/Professional) * Knowledge of model ...

Master Electronics

Data Scientist II

Phoenix, AZ

  • Medical

  • Life

  • Retirement

  • PTO

Partner with software engineers, data engineers, product managers, and subject-matter experts ... Databricks certifications (e.g., Machine Learning Associate/Professional) * Knowledge of model ...

Master Electronics

Data Scientist II

Phoenix, AZ

  • Medical

  • Life

  • Retirement

  • PTO

Partner with software engineers, data engineers, product managers, and subject-matter experts ... Databricks certifications (e.g., Machine Learning Associate/Professional) * Knowledge of model ...

Synthesis Systems

Cloud Native Developer

Chandler, AZ

$55.50 - $75.75/hr

Google - Professional Data Engineer; AWS - Developer - Associate; Azure - MCSA: Cloud Platform (Development Focus) * Experience in working on scale applications Additional Information All your ...

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All JobsAssociate Data Engineer JobsAssociate Data Engineer Jobs in Arizona

Associate Data Engineer information

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How much do associate data engineer jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for associate data engineer in Arizona is $17.46, according to ZipRecruiter salary data. Most workers in this role earn between $14.33 and $18.61 per hour, depending on experience, location, and employer.

What does an associate data engineer do?

An Associate Data Engineer is responsible for supporting the development, maintenance, and optimization of data pipelines and databases. They work closely with senior data engineers and other IT professionals to ensure data is accessible, reliable, and efficiently processed for analytics and business use. Typical tasks include writing and testing code for data integration, troubleshooting data issues, and implementing data security best practices. This entry-level position is a foundational role that builds technical skills and experience in data engineering.

What are the key skills and qualifications needed to thrive as an associate data engineer?

To thrive as an Associate Data Engineer, you need a solid understanding of data modeling, SQL, Python, and foundational knowledge of database concepts, often backed by a degree in computer science or a related field. Familiarity with data warehousing tools (like AWS Redshift, Google BigQuery), ETL frameworks, and cloud platforms as well as industry certifications such as AWS Certified Data Analytics is beneficial. Strong problem-solving skills, attention to detail, and effective communication help you navigate complex data challenges and collaborate with teams. These abilities are crucial for ensuring data systems are reliable, scalable, and aligned with organizational goals.

What are some common challenges an associate data engineer may face when working with large-scale data pipelines?

As an Associate Data Engineer, you may often encounter challenges such as optimizing data pipeline performance, ensuring data quality, and troubleshooting bottlenecks when processing large volumes of data. Working with distributed systems can introduce complex issues like latency and data consistency. Collaborating effectively with data scientists, analysts, and senior engineers is crucial for aligning data infrastructure with evolving project requirements. Regularly learning new tools and best practices will help you adapt to these challenges and grow in your role.

What is the difference between Associate Data Engineer vs Data Engineer?

AspectAssociate Data EngineerData Engineer
Required CredentialsBachelor's degree in CS, Data Science, or related field; basic knowledge of SQL and PythonBachelor's or Master's degree; advanced knowledge of SQL, Python, Spark, and cloud platforms
Work EnvironmentEntry-level, team-focused, often in tech or finance industriesMid to senior level, designing and maintaining data pipelines in various industries
Employer & Industry UsageCommon in tech companies, startups, and finance firmsUsed across industries for building scalable data infrastructure
Common Search & ComparisonOften compared for career progression and skill requirements

The Associate Data Engineer role is an entry-level position focusing on supporting data infrastructure, while the Data Engineer is a more advanced role responsible for designing and maintaining complex data systems. The roles share similar educational backgrounds and work environments but differ in experience level and responsibilities.

Is an associate data engineer entry level?

An associate data engineer is typically an entry-level position suitable for candidates with limited professional experience in data engineering. It often requires foundational skills in SQL, Python, or cloud platforms and serves as a starting point for a career in data engineering.

What are the most commonly searched types of Data Engineer jobs in Arizona?

The most popular types of Data Engineer jobs in Arizona are:

What are popular job titles related to Associate Data Engineer jobs in Arizona?

For Associate Data Engineer jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Associate Data Engineer jobs in Arizona look for?

The top searched job categories for Associate Data Engineer jobs in Arizona are:

What cities in Arizona are hiring for Associate Data Engineer jobs?

Cities in Arizona with the most Associate Data Engineer job openings:

Associate Data Engineer jobs near you
Infographic showing various Associate Data Engineer job openings in Arizona as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 10% Part Time, 2% Temporary, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $36,319 per year, or $17.5 per hour.

Data Science Analyst

Shamrock

Phoenix, AZ • On-site

Full-time

Medical, Retirement, PTO

Posted 21 days ago

Job description

The Data Science Analyst is responsible for using data science, machine learning, statistical modeling, and advanced analytics to solve complex business problems across Supply Chain and Operations. This role works at the intersection of data, technology, and business operations to develop predictive insights, analytical models, and decision-support tools that improve planning, efficiency, cost management, and service performance.
The Data Science Analyst partners with business leaders, operations teams, IT, data engineering, and analytics stakeholders to identify high-value use cases, build and test analytical models, and translate technical outputs into actionable business recommendations. This role is well suited for a candidate who has strong technical skills but also enjoys applying those skills to practical operational challenges.
Essential Duties:
  • Develop, test, and validate predictive models and machine learning solutions for Supply Chain and Operations use cases.
  • Apply statistical modeling, forecasting, classification, regression, clustering, optimization, and other data science techniques to solve business problems.
  • Support use cases such as demand forecasting, labor forecasting, inventory risk, transportation optimization, order volume prediction, customer behavior trends, productivity analysis, and operational exception detection.
  • Develop and deploy anomaly detection models to identify operational exceptions, service disruptions, inventory irregularities, equipment failures, process deviations, and emerging business risks before they impact performance.
  • Support transportation and logistics optimization initiatives by applying advanced analytics and machine learning techniques to improve route efficiency, reduce fuel consumption, optimize network flows, and enhance service performance.
  • Clean, transform, structure, and analyze large datasets from multiple business systems.
  • Perform exploratory data analysis to identify relationships, trends, anomalies, and improvement opportunities.
  • Collaborate with business stakeholders to understand operational processes, pain points, and decision-making needs.
  • Translate business problems into data science questions, analytical methods, and measurable outcomes.
  • Evaluate model accuracy, performance, stability, and business value.
  • Partners with data engineering and IT teams to access, prepare, and improve data sources needed for modeling and analysis.
  • Create dashboards, visualizations, and presentations to communicate model outputs and recommendations.
  • Document model logic, assumptions, data sources, limitations, and business applications.
  • Support the deployment, monitoring, and ongoing refinement of analytical and machine learning solutions.
  • Stay current on data science, machine learning, AI, and analytics methods that may benefit the business.
  • Other duties as assigned.

Qualifications:
  • Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Business Analytics, Economics, Operations Research, Supply Chain, or a related field required.
  • Master's degree in Data Science, Analytics, Statistics, Operations Research, Computer Science, Industrial Engineering, or related discipline preferred.
  • 2-5 years of experience in data science, analytics, statistical modeling, machine learning, business intelligence, or related analytical roles.
  • Experience applying data science methods to real-world business or operational problems.
  • Experience building predictive models, forecasts, or machine learning prototypes preferred.
  • Proficiency in Python, R, SQL, or similar analytical programming languages.
  • Familiarity with machine learning libraries and methods such as scikit-learn, pandas, NumPy, regression models, classification models, clustering, time series forecasting, or optimization techniques.
  • Strong understanding of statistics, probability, data modeling, feature engineering, and model evaluation.
  • Ability to work with structured and unstructured data from multiple systems.
  • Experience with Power BI, Tableau, Databricks, Azure Machine Learning, Snowflake, or similar platforms preferred.
  • Ability to explain technical concepts to non-technical business stakeholders.
  • Strong problem-solving, critical thinking, and analytical reasoning skills.
  • Strong communication and data storytelling skills.
  • Ability to balance technical depth with practical business applications.
  • Strong attention to detail, data quality, and model reliability.
  • Must be flexible and willing to work the demands of the department which is generally limited to weekdays but may be subject to evenings or weekends due to project or department needs.

Corporate Summary:
At Shamrock Foods Company, people come first - our associates, our customers, and the families we serve across the nation. A privately-held, family-owned and -operated Forbes 500 company, Shamrock is an innovator in the food industry and has been since being founded in Arizona in 1922.
Our Mission: At Shamrock Foods Company, we live by our founding family's motto to "treat associates like family and customers like friends."
Why work for us?
Benefits are a major part of your overall compensation, and we believe offering them at an affordable cost is not only the right thing to do, but it helps keep you and your family healthy. That's why Shamrock Foods pays for the majority of your health insurance, allowing you to take home more of your paycheck. And it doesn't stop there - our associates also enjoy additional benefits such as 401(k) Savings Plan, Profit Sharing, Paid Time Off, as well as our incredible growth opportunities, continued education, and wellness programs.
Equal Opportunity Employer
At Shamrock Foods Co all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, veteran status, sexual orientation, gender identity or any other basis protected by applicable law.
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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