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Data Engineer Data Scientist Jobs in Arizona (NOW HIRING)

TalentBridge

Data Scientist

Phoenix, AZ · On-site

Data ScientistPosition Summary The Data Scientist supports internal AI and analytics initiatives by ... Perform data cleaning, feature engineering, exploratory data analysis, model evaluation, prompt ...

Champions Funding LLC

Data Scientist

Gilbert, AZ · On-site

Partner with data engineering, IT, and business teams to develop scalable data pipelines and deploy ... Requirements: * Bachelor's degree required in Mathematics, Data Science, Computer Science ...

Master Electronics

Data Scientist II

Phoenix, AZ · On-site

As a Data Scientist , you'll be a key contributor in designing, building, and evaluating data ... Partner with software engineers, data engineers, product managers, and subject-matter experts ...

Master Electronics

Data Scientist II

Phoenix, AZ · On-site

As a Data Scientist , you'll be a key contributor in designing, building, and evaluating data ... Partner with software engineers, data engineers, product managers, and subject-matter experts ...

NucleusTeq

Data Scientist

Phoenix, AZ · On-site

Lead cross-functional teams of data scientists, engineers, and designers to implement AI/ML models, ensuring seamless integration into production environments; Collaborate with stakeholders to define ...

Master Electronics

Data Scientist II

Phoenix, AZ · On-site

As a Data Scientist , you'll be a key contributor in designing, building, and evaluating data ... Partner with software engineers, data engineers, product managers, and subject-matter experts ...

NucleusTeq

Data Scientist

Phoenix, AZ · On-site

Lead cross-functional teams of data scientists, engineers, and designers to implement AI/ML models, ensuring seamless integration into production environments; Collaborate with stakeholders to define ...

NucleusTeq

Data Scientist

Phoenix, AZ · On-site +1

Lead cross-functional teams of data scientists, engineers, and designers to implement AI/ML models, ensuring seamless integration into production environments; Collaborate with stakeholders to define ...

Syntricate Technologies

Data Engineer /Data tester

Tempe, AZ · On-site

$111K - $133K/yr

Syntricate Technologies is seeking a Data Engineer/Data tester to join their team. The role ... Required : • Bachelor's degree in Computer Science, Information Systems, Engineering, Technology ...

Nucleusteq

Data Scientist

Phoenix, AZ · On-site

Lead cross-functional teams of data scientists, engineers, and designers to implement AI/ML models, ensuring seamless integration into production environments; Collaborate with stakeholders to define ...

Inficare Technologies

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

This role collaborates closely with application architects, cloud engineers, data scientists, and development teams to deliver reliable, secure, and high-performance data solutions. Key ...

Republic Services

Data Scientist III

Phoenix, AZ

The Data Scientist III balances statistical rigor, engineering best practices, and business impact, ensuring solutions are appropriately scoped, scalable, and production ready. The incumbent serves ...

Republic Services

Data Scientist III

Phoenix, AZ

The Data Scientist III balances statistical rigor, engineering best practices, and business impact, ensuring solutions are appropriately scoped, scalable, and production ready. The incumbent serves ...

Republic Services

Data Scientist III

Phoenix, AZ · On-site

The Data Scientist III balances statistical rigor, engineering best practices, and business impact, ensuring solutions are appropriately scoped, scalable, and production ready. The incumbent serves ...

Lucid Motors

Senior Data Scientist

Phoenix, AZ

What makes this team unique is its position at the intersection of data science, engineering, service operations, and manufacturing, where insights directly influence vehicle quality decisions. By ...

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All JobsData Engineer Data Scientist JobsData Engineer Data Scientist Jobs in Arizona

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:

Data Engineer Data Scientist jobs near you
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.

Senior AI Engineer / Data Scientist

Chandler, AZ • On-site

Koantek
IT Services • 11 - 50 employees
Learn more about Koantekexternal

Contractor

Re-posted 20 days ago

Job description


Senior AI Engineer / Data Scientist (Consulting)
Location: United States (Remote)
Employment Type: Full-Time / Contract
Experience Level: Senior
About the Role:
We are seeking an experienced, highly technical Senior AI Engineer / Data Scientist to join our customer-facing consulting team. This remote role requires a unique blend of advanced Machine Learning (ML) expertise, deep knowledge of MLOps principles, and a proven track record in client-facing implementation.
You will design, deploy, and maintain production-grade ML solutions, including advanced Generative AI and NLP models, for our diverse client base.
Key Responsibilities:
* Technical Consulting: Lead end-to-end ML implementations directly with clients, translating business problems into robust technical solutions.
* MLOps and Pipelines: Design, build, and maintain production-grade ML pipelines with a strong focus on CI/CD, automation, and scalability.
* GenAI and NLP Deployment: Implement and optimize cutting-edge Generative AI applications (such as LLMs and RAG) in live production settings.
* Infrastructure and Data Scale: Manage underlying infrastructure using Docker, pipeline orchestrators, and distributed computing frameworks like Apache Spark.
* Stakeholder Management: Clearly communicate technical findings, proposals, and project status to both technical and non-technical audiences.
Required Qualifications:
* 4+ years of professional experience developing, deploying, and maintaining ML models in a live production environment (Mandatory).
* 3+ years of experience in a customer-facing consulting or Solutions Architect role.
* Strong expertise in the MLOps lifecycle (model versioning, testing, monitoring, and automated deployment).
* Solid hands-on experience with containerization (Docker) and data pipeline orchestration.
* Proven track record of deploying Generative AI and NLP solutions for client applications.
* Excellent verbal and written communication skills.
Preferred Qualifications:
* Hands-on experience with modern ML platform stacks, specifically Databricks MLOps Stacks.
* Deep knowledge of large-scale data processing and distributed machine learning techniques.
* A strong commitment to continuous learning in emerging ML fields and GenAI application architectures.

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