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Data Science Major Jobs in Arizona (NOW HIRING)

Exos

Sports Science Intern - Fall 2026

Phoenix, AZ · On-site

$15 - $19.75/hr

This 12-16 week opportunity blends strength and conditioning education with hands-on data ... for a major athletic event. How do we do it? Our employer solutions include fitness center ...

Exos

Sports Science Intern - Fall 2026

Phoenix, AZ · On-site

$15 - $19.75/hr

This 12-16 week opportunity blends strength and conditioning education with hands-on data ... at work, or training for a major athletic event.How do we do it? Our employer solutions ...

Mayo Clinic

Specialist-Diag Rad Physics

Phoenix, AZ

... data acquisition and image-processing projects with attention to detail and scientific rigor ... Today, our employees are located at our three major campuses in Phoenix/Scottsdale, Arizona ...

Mayo Clinic

Specialist-Diag Rad Physics

Phoenix, AZ

... data acquisition and image-processing projects with attention to detail and scientific rigor ... Today, our employees are located at our three major campuses in Phoenix/Scottsdale, Arizona ...

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All JobsData Science Major JobsData Science Major Jobs in Arizona

Data Science Major information

What are the key skills and qualifications needed to thrive as a data science major, and why are they important?

To thrive as a Data Science Major, you need a solid understanding of mathematics, statistics, and programming languages such as Python or R, typically backed by coursework or a related degree. Familiarity with data analysis tools, machine learning libraries, and platforms like SQL, TensorFlow, or Jupyter Notebook is also important. Critical thinking, effective communication, and problem-solving skills help you interpret data insights and collaborate on projects. These competencies enable you to extract meaningful information from data, drive decision-making, and succeed in a data-driven environment.

What is a data science major?

A Data Science major is an academic program that focuses on teaching students how to collect, analyze, and interpret large sets of data to solve real-world problems. It combines coursework in statistics, computer science, mathematics, and domain-specific knowledge to prepare graduates for roles in various industries such as technology, healthcare, finance, and more. Students learn programming languages like Python or R, machine learning techniques, and data visualization skills. The major often includes hands-on projects and internships to provide practical experience in analyzing and extracting insights from data.

What types of projects or problems do data science majors typically work on during internships or entry-level roles?

Data Science majors in internships or entry-level positions often collaborate on projects involving data cleaning, exploratory data analysis, and building predictive models. They might work with real-world datasets to identify trends, automate reporting, or support business decision-making with data-driven insights. These roles typically require teamwork with software engineers, business analysts, and domain experts, offering valuable opportunities to apply classroom knowledge to practical challenges and to develop skills in popular tools like Python, R, and SQL.

What is the difference between Data Science Major vs Data Analyst?

AspectData Science MajorData Analyst
Required CredentialsDegree in Data Science, Computer Science, or related fieldsDegree in Statistics, Mathematics, or related fields
Work EnvironmentResearch, development, and complex data modelingData interpretation, reporting, and visualization
Industry UsageTech companies, finance, healthcare, academiaBusiness, marketing, finance, healthcare
Common Search/ComparisonData Science Major vs Data Analyst

While both roles involve working with data, a Data Science Major typically prepares individuals for complex data modeling, machine learning, and research tasks. In contrast, a Data Analyst focuses on interpreting data, creating reports, and visualizations to support business decisions. The roles often overlap, but the Data Science Major emphasizes advanced analytics and programming skills, whereas Data Analysts concentrate on data interpretation and communication.

What are popular job titles related to Data Science Major jobs in Arizona? For Data Science Major jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Data Science Major jobs in Arizona look for? The top searched job categories for Data Science Major jobs in Arizona are:
What cities in Arizona are hiring for Data Science Major jobs? Cities in Arizona with the most Data Science Major job openings:
Data Science Major jobs near you
Infographic showing various Data Science Major job openings in Arizona as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Data Engineer - and Data Engineer II and

Professional Recruiters

Tempe, AZ

$111K - $133K/yr

Full-time

Posted 13 days ago

Job description

Data Engineer II Tempe Arizona

Make Next Happen Now. For over 30 years, The Company has helped innovative companies and their investors move bold ideas forward, fast. The Company provides targeted banking services to companies of all sizes in innovation centers around the world.

The Information Management team at The Company is responsible for delivering data solutions that support all lines of business across the organization. This includes providing data integration services for all batch data movement, managing, and enhancing the data warehouse, Data Lake & data marts, and providing support for analytics and business intelligence customers.

Do you get excited when you see data? Constantly looking for value in Data? If that is you, we will be looking for you. As a Data Engineer, you will build, append and enhance our existing enterprise data warehouse. You will get an opportunity to closely work with business teams and other application owners, understand the core functionality of banking, credit, risk and finance applications and associated data. You will build data pipelines, tools, and reports that enable analysts, product managers, and business executives.

Key Responsibilities:

  • Design and Build ETL jobs to support The Company's Enterprise data warehouse.
  • Write Extract-Transform-Load (ETL) jobs using any standard tools and Spark/Hadoop/AWS Glue jobs to calculate business metrics
  • Partnering with business team(s) to understand the business requirements, understand the impact to existing systems and design and Implement new data provisioning pipeline process for Finance / External reporting domains.
  • You will also have the opportunity to display your skills in the following areas: AWS Cloud, Big Data technologies, Design, implement, and build our enterprise data platform (EDP).
  • Design and develop data models for SQL/NoSQL database systems
  • Monitor and troubleshoot operational or data issues in the data pipelines
  • Drive architectural plans and implementation for future data storage, reporting, and analytic solutions

Basic Qualifications

  • Bachelor's degree in Computer Science, Mathematics, Statistics, Finance, related technical field, or equivalent work experience
  • 5+ years of relevant work experience in analytics, data engineering, business intelligence or related field, and 5+ years professional experience
  • 2+ years of experience in implementing big data processing technology: AWS / Azure / GCP, Hadoop, Apache Spark, Python and good to have: understanding of Redshift, Snowflake.
  • Experience using SQL queries, experience in writing and optimizing SQL queries in a business environment with large-scale, complex datasets
  • Detailed knowledge of databases like Oracle / DB2 / SQL Server, data warehouse concepts and technical architecture, infrastructure components, ETL and reporting/analytic tools and environments
  • Hands on experience on major ETL tools like Informatica IICS, SAP BODS and/or any cloud based ETL tools.
  • Hands on experience with scheduling tools like Redwood, Control-M or Tidel. Expects good understanding and experience on reporting tools like Tableau, BOXI etc.
  • Hands on experience in cloud technologies (AWS /google cloud/Azure ) related to Data Ingestion tool ( both real time and batch based), CI/CD processes, Cloud architecture understanding, AWS, Big data implementation.
  • AWS certification is a plus and working knowledge of Glue, Lambda, S3, Athena, Redshift is a plus.

Preferred Qualifications

  • Graduate degree in Computer Science, Mathematics, Statistics, Finance, related technical field
  • Strong ability to effectively communicate with both business and technical teams
  • Demonstrated experience delivering actionable insights for a consumer business
  • Coding proficiency in at least one modern programming language (Python, Ruby, Java, etc.)
  • Basic Experience with Cloud technologies
  • Experience in banking domain is a plus

Apply