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Data Engineer Jobs in Tucson, AZ (NOW HIRING)

Senior Data Architect

Tucson, AZ · On-site

$62.50 - $83.50/hr

... developers, Business Analysts, and Project Management - to plan and execute PM2PA data-related projects. • Provide technical leadership and mentorship to database administrators, database ...

Senior Data Architect

Tucson, AZ · On-site

$62.50 - $83.75/hr

Provide technical leadership and mentorship to database administrators, database developers, and ... Data Modelling: Strong data modelling skills, both relational (3NF) and dimensional (star schema ...

Data Analyst

Tucson, AZ · On-site

$78K - $98K/yr

Data Analyst Job Summary: In this role you will assist members, staff, and third parties with ... SQL * API * Azure DevOps and Git * Op-Con Automation * Agile software development * Financial ...

Data Analyst I

Tucson, AZ

$24.16 - $36.24/hr

Researches and resolves issues related to programming and scripting languages, data visualization platforms, and/or statistical methodologies to maintain accuracy and access for both internal and ...

Data Analyst I

Tucson, AZ · On-site

$24.16 - $36.24/hr

Researches and resolves issues related to programming and scripting languages, data visualization platforms, and/or statistical methodologies to maintain accuracy and access for both internal and ...

Mechanical Engineer

Tucson, AZ · On-site

$65K - $85K/yr

RFA Engineering (www.rfamec.com) is an engineering service provider dedicated to delivering our ... Review field and test data to identify opportunities for design improvements and incorporate ...

Assign, review, and evaluate laboratory or field data for inclusion in reports. Apply sound engineering principles and be able to communicate complex engineering issues and concepts to technical and ...

Showing results 21-40

Data Engineer information

See Tucson, AZ salary details

$38.3K

$111.5K

$152.6K

How much do data engineer jobs pay per year?

As of Sep 2, 2026, the average yearly pay for data engineer in Tucson, AZ is $111,516.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,400.00 and $118,200.00 per year, depending on experience, location, and employer.

What is a data engineer?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

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

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What does a data engineer do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

How do data engineers typically collaborate with data scientists and analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipeline tools. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience or advanced knowledge of tools like SQL, Python, and cloud platforms.

What is the role of a data engineer?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and store large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and decision-making.

What are the most commonly searched types of Data Engineer jobs in Tucson, AZ?

The most popular types of Data Engineer jobs in Tucson, AZ are:

What are popular job titles related to Data Engineer jobs in Tucson, AZ?

For Data Engineer jobs in Tucson, AZ, the most frequently searched job titles are:

What job categories do people searching Data Engineer jobs in Tucson, AZ look for?

The top searched job categories for Data Engineer jobs in Tucson, AZ are:

What cities near Tucson, AZ are hiring for Data Engineer jobs?

Cities near Tucson, AZ with the most Data Engineer job openings:

Infographic showing various Data Engineer job openings in Tucson, AZ as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $111,516 per year, or $53.6 per hour.

Senior Data Architect

Stantec

Tucson, AZ • On-site

$62.50 - $83.50/hr

Full-time

Re-posted 29 days ago


Stantec rating

8.4

Company rating: 8.4 out of 10

Based on 84 frontline employees who took The Breakroom Quiz

123rd of 451 rated engineering


Job description

Job Summary:
Stantec is a company with leading professionals passionate about enabling their business to be its best. They are seeking a Senior Data Architect to design new workflows and business processes to optimize collaboration between Project Managers and Project Accountants, focusing on enhancing and integrating applications with a strong emphasis on Oracle E-Business Suite and potential cloud services integration.
Responsibilities:
• Develop and drive the overall data architecture strategy for PM2PA, including designing scalable data models, data integration workflows, and data governance frameworks that meet enterprise standards.
• Lead the future integration of PM2PA business processes and workflows with Oracle Fusion Cloud.
• Oversee the performance optimization, scalability and reliability of the PM2PA data flows.
• Ensure robust data security measures and compliance protocols are implemented across PM2PA, Oracle EBS and integrated cloud environments.
• Collaborate closely with other teams – including IT Infrastructure & Operations, Oracle Database Administrators, Software Solutions developers, Business Analysts, and Project Management – to plan and execute PM2PA data-related projects.
• Provide technical leadership and mentorship to database administrators, database developers, and integration specialists on the PM2PA team.
Qualifications:
Required:
• Bachelor’s degree or diploma in computer science, Information Systems, or a related field is required (an equivalent combination of education and experience will be considered).
• 10+ years of experience in data architecture, data analysis, or related IT roles, with significant hands-on experience designing and implementing solutions for Oracle E-Business Suite environments.
• In-depth knowledge of Oracle E-Business Suite (EBS) R12 modules, database and architecture.
• Strong data modelling skills, both relational (3NF) and dimensional (star schema) design.
• Experience with Oracle integration technologies.
• Working knowledge of OCI services and architecture.
• Familiarity with enterprise data management tools and practices.
• Experience with reporting and analytics tools that complement Oracle EBS.
• Proficiency in operating the Oracle EBS tech stack on Linux platforms.
• Knowledge of architecture best practices and design patterns, especially in the context of enterprise applications.
• Excellent leadership, communication, and stakeholder management skills.
Preferred:
• Relevant certifications are highly valued. Examples include Oracle Certified Professional (OCP) or Oracle Certified Master (OCM) in Oracle Database or E-Business Suite administration, Oracle Cloud Infrastructure Architect certifications, or Oracle EBS specialization certificates.
• Familiarity with enterprise architecture methodologies and tools.
• Hands-on experience in enterprise ERP migration or upgrade projects.
• Experience with integration platforms (e.g., MuleSoft, Dell Boomi).
Company:
Stantec is a professional services company that provides engineering, architecture, design, and consulting services. Founded in 1954, the company is headquartered in Edmonton, CAN, with a team of 10001+ employees. The company is currently Late Stage.

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