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Data Engineer Data Scientist Jobs in Arizona (NOW HIRING)

Data Engineer

Tempe, AZ ยท On-site

$111K - $133K/yr

Required Undergraduate or Masters' degree in Computer Science, Statistics, or Analytics. * Minimum of 3-5 years of experience in Data Engineering, preferably working with AWSโ€‘based cloud data ...

Data Engineer

Scottsdale, AZ ยท On-site

$114K - $137K/yr

The Data Engineer designs, builds, and maintains scalable data integration pipelines and ... Collaborate with data analysts, data scientists, and product teams to support reporting and ...

Data Engineer

Scottsdale, AZ ยท On-site

$115K - $139K/yr

The Data Engineer designs, builds, and maintains scalable data integration pipelines and ... Collaborate with data analysts, data scientists, and product teams to support reporting and ...

Skilled at programming in Python in data science, AI, and statistical analysis settings. * Proficient with relational databases and the ability to write SQL queries. * Preferred experience working ...

... Masters in Engineering, Math, Computer Science, Econometrics, Statistics, Operational Research, or equivalent analytical or technical fields that use large data and statistics Preferred : โ€ข ...

Bachelor's degree in Data Science, Computer Science, Statistics, Engineering, Mathematics, or a related field. Master's degree is a plus. * Experience * 3- 5 years of experience in data science or ...

Skilled at programming in Python in data science, AI, and statistical analysis settings. * Proficient with relational databases and the ability to write SQL queries. * Preferred experience working ...

Skilled at programming in Python in data science, AI, and statistical analysis settings. * Proficient with relational databases and the ability to write SQL queries. * Preferred experience working ...

GCP Data Engineer

Phoenix, AZ ยท On-site

$113K - $136K/yr

The engineer will collaborate with data analysts, data scientists, application teams, and other stakeholders to deliver cloud-native data solutions that support business requirements. Key ...

Data Engineer

Scottsdale, AZ ยท On-site

$114K - $137K/yr

The Data Engineer designs, builds, and maintains scalable data integration pipelines and ... Collaborate with data analysts, data scientists, and product teams to support reporting and ...

... programming and SQL coding is preferred โ€ข Knowledge of Data Governance and DQ framework is a plus โ€ข Background in data management in Banking/Finance industry is preferred โ€ข Experience with ETL ...

Data Scientist II

Tempe, AZ ยท Hybrid

$131K - $172K/yr

We're hiring a Data Scientist II to join our Data team. Oscar is the first health insurance company ... engineering, product and data stakeholders to deliver impactful solutions. This is a mid-level role ...

Data Scientist

Phoenix, AZ ยท On-site

$80 - $85/hr

Senior Data Scientist / Forward Deployed Engineer (No Sponsorship Available/Cannot Support C2C) Locations: Phoenix, AZ Overview Join a newly formed, executive-sponsored AI Transformation team focused ...

Senior Data Scientist / Forward Deployed Engineer (No Sponsorship Available/Cannot Support C2C) Locations: Phoenix, AZ Overview Join a newly formed, executive-sponsored AI Transformation team focused ...

$49K/yr

Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is ...

The Opportunity As a dedicated Data Scientist, you will translate business problems into applied ... In collaboration with engineering partners, you will deliver scalable solutions and enable customer ...

The Opportunity As a dedicated Data Scientist, you will translate business problems into applied ... In collaboration with engineering partners, you will deliver scalable solutions and enable customer ...

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Showing results 41-60

Data Engineer Data Scientist information

How do data engineer data scientists typically collaborate with other teams within an organization?

Data Engineer Data Scientists often work closely with data analysts, software engineers, and business stakeholders to ensure that data pipelines are both reliable and tailored to business needs. They are responsible for transforming raw data into actionable insights, which means they regularly participate in cross-functional meetings to understand project requirements and feedback. Collaboration often includes designing data models, optimizing queries, and deploying machine learning models, all while ensuring data integrity and security. This collaborative environment not only enhances the quality of data-driven solutions but also provides opportunities for continuous learning and professional growth.

What are the key skills and qualifications needed to thrive as a data engineer or data scientist, and why are they important?

To thrive as a Data Engineer or Data Scientist, you need a strong background in mathematics, statistics, programming (commonly Python or SQL), and data modeling, often supported by a degree in computer science or a related field. Familiarity with big data frameworks (such as Hadoop or Spark), data visualization tools, and cloud platforms (like AWS or Azure), as well as relevant certifications, is highly beneficial. Analytical thinking, problem-solving, and effective communication are crucial soft skills for translating data insights into actionable business recommendations. These skills and qualities enable professionals to efficiently process complex data, drive data-informed decisions, and add value to organizations.

What is the difference between Data Engineer Data Scientist vs Data Analyst?

AspectData EngineerData Analyst
Required CredentialsBachelor's/Master's in CS, Engineering, or related; often certifications in cloud or big data toolsBachelor's in Statistics, Math, or related; sometimes certifications in analytics tools
Work EnvironmentBuilds data pipelines, manages databases, works with big data toolsAnalyzes data, creates reports, visualizations for business insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing, finance, retail, consulting

While Data Engineers focus on building and maintaining data infrastructure, Data Analysts interpret data to provide actionable insights. Both roles require strong technical skills, but Data Engineers are more involved in data architecture, whereas Data Analysts focus on data analysis and reporting.

Can a data engineer work as a data scientist?

A data engineer can transition to a data scientist role since both require strong skills in data manipulation, programming, and understanding of data systems. However, data scientists typically focus more on statistical analysis, machine learning, and modeling, which may require additional training or experience. Familiarity with tools like Python, R, and SQL is common to both roles.

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

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

Infographic showing various Data Engineer Data Scientist job openings in Arizona as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Data Scientist

Phoenix, AZ โ€ข On-site

Full-time

Re-posted 9 days ago


Key responsibilities

  • Develop, validate, and deploy machine learning and statistical models to support manufacturing and supply chain use cases.

  • Design and implement classifier models to identify and predict patterns in product, customer, and supplier taxonomies.

  • Support the full lifecycle of AI Model development and support, including evaluating and monitoring model performance in production environments.


Job description

Join UCT and be part of the fastest-growing sector in the world! We indirectly touch every semiconductor chip that goes into every smartphone, smart car and device that uses artificial intelligence. This is a critical time for the semiconductor industry and for UCT - as technology evolves, we evolve with it. UCT is a diverse workplace where every talented employee is committed to continuous innovation, challenging the status quo and exceeding customer expectations. If you are a person with a relentless drive to succeed, a strong focus on quality with a passion for success – join us today! 

UCT is looking for a talented Data Scientist to join us in Chandler, AZ!

Job Summary:

  • The Data Scientist will serve as a key contributor to the company’s data and analytics strategy, partnering with manufacturing, supply chain, quality, and IT stakeholders to deliver advanced analytics, generative AI, and machine learning solutions. This role focuses on applying statistical modeling, classifier models, and predictive analytics to improve supply chain efficiency, back office, and operational performance.
  • The role leverages enterprise analytics platforms including Databricks and Microsoft Copilot Studio to enable AI-assisted insights and intelligent automation for manufacturing and operations users.

Key Responsibilities:

  • Develop, validate, and deploy machine learning and statistical models to support manufacturing and supply chain use cases such as supplier lead time prediction, inventory segmentation and safety stock optimization, demand forecasting, and predictive cash flow modeling.
  • Design and implement classifier models to identify & predict patterns in product, customer, and supplier taxonomies.
  • ML/Ops: support the full lifecycle of AI Model development & support. Evaluate and monitor model performance, accuracy, and scalability in production environments.
  • Utilize AI to augment IT operations; advocate for augmentation of IT processes using AI including Generative AI for software development (Github Copilot or similar), as well as Agent development in Copilot studio for knowledge management and automation of IT operational workflows.

 Qualifications

  • Education –
    • Bachelor’s degree in Data Science, Computer Science, Statistics, Engineering, Mathematics, or a related field. Master’s degree is a plus.
  • Experience
    • 3- 5 years of experience in data science or advanced analytics, preferably in a high-tech manufacturing environment. Semiconductor equipment manufacturing experience is a definitive advantage.

Technical Skills:

  • Strong proficiency in Python, Scikit-Learn, Optuna
  • Hands-on experience with Databricks, ML/OPS in Databricks, Unity Catalog
  • Experience developing classifier models (Random Forest, KNN, Decision Trees)
  • Strong SQL skills.
  • Experience with Microsoft Copilot Studio development & agent governance
  • Familiarity with Power BI is a plus.

Soft Skills:

  • Excellent communication skills, with the ability to explain complex technical concepts to both technical and non-technical stakeholders.
  • Strong problem-solving abilities, with a focus on delivering practical, scalable solutions.
  • Ability to manage multiple projects and priorities, working effectively in a fast-paced, dynamic environment.

Benefits:

  • Competitive salary and performance-based bonuses.
  • Professional development opportunities.

Work Environment:

  • Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions
  • Works in a manufacturing environment.

Physical Demands:

  • Ability to kneel, reach, walk, push, pull and grasp.
  • Ability to lift up to 50 lbs. 
  • Ability to move arms, hands, and fingers
  • Ability to sit for sustained periods.
  • Required to wear personal protective equipment.
  • Prolonged sitting with some standing and bending intermittently during work hours.
  • Subject to interruptions

Environmental Exposure:

  • Required to wear personal protective equipment where applicable.
  • Subject to frequent interruptions.
  • The ability to talk on the phone and use a computer for extended periods may be required.
  • May involve exposure to moderate noise levels from printers, faxes, computers, etc.

Overnight Travel:

  • Work may require out-of-town travel depending upon assignment (training and meeting).

Ultra Clean Technology is proud to be an equal-opportunity employer. We are committed to equal employment opportunity regardless of race, color, national or ethnic origin, age, religion, disability, sexual orientation, gender, gender identity and expression, marital status, and any other characteristic protected under laws and regulations.