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Data Engineer Jobs in Yuma, AZ (NOW HIRING)

Data Security Consultant

Yuma, AZ · On-site +1

$130K - $150K/yr

Professional certifications such as Certified Information Systems Security Professional (CISSP), Certified Cloud Security Professional (CCSP), or Certified Data Privacy Solutions Engineer (CDPSE) are ...

Data Security Consultant

Yuma, AZ · On-site +1

$130K - $150K/yr

Professional certifications such as Certified Information Systems Security Professional (CISSP), Certified Cloud Security Professional (CCSP), or Certified Data Privacy Solutions Engineer (CDPSE) are ...

Data Collector I

Yuma, AZ · On-site

$23.67/hr

Test Range Operations Applies working mechanical and technical knowledge to perform all phases of technical test data observation and recording in support of engineering projects. Requires use of ...

Sampling and data collection for air, water, groundwater, wastewater, stormwater, hazardous waste ... ENVIRONMENTAL ENGINEER | COMPETENCIES: * Ability to build strong relationships. Thrives when ...

Dewesoft Data Acquisition. * LabVIEW Data Acquisition. * Experience with Additive Manufacturing * Controls and Programming (LABVIEW). * 5 years' experience with SolidWorks or other CAD programs. * 5 ...

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Dewesoft Data Acquisition. * LabVIEW Data Acquisition. * Experience with Additive Manufacturing * Controls and Programming (LABVIEW). * 5 years' experience with SolidWorks or other CAD programs. * 5 ...

Collaborate with business stakeholders, solution consultants, developers, and data scientists to deliver end-to-end AEP solutions. * Ensure compliance with data privacy laws and enterprise security ...

Experience ensuring data collected from tests is adequate to support engineering, developmental, operational and acceptance test requirements.Ability to perform radar system operations and ...

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Data Engineer information

See Yuma, AZ salary details

$44K

$128.4K

$175.6K

How much do data engineer jobs pay per year?

As of Aug 26, 2026, the average yearly pay for data engineer in Yuma, AZ is $128,360.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,300.00 and $136,100.00 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 job categories do people searching Data Engineer jobs in Yuma, AZ look for?

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

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

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

Infographic showing various Data Engineer job openings in Yuma, AZ as of August 2026, with employment types broken down into 85% Full Time, 7% Temporary, and 8% Contract. Highlights an 77% In-person, 7% Hybrid, and 16% Remote job distribution, with an average salary of $128,360 per year, or $61.7 per hour.

Creative Product Technologist, Data & AI

Yuma, AZ • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 28 days ago


Job description

THETEAM operates at the epicenter of sports, music and entertainment, serving talent, brands and properties on a global scale. Our brands and properties division works with iconic brands and rights holders, supporting business growth through all marketing disciplines. We're a trusted partner to every major league, team and venue, building meaningful connections between brands, properties and fans.

Headquartered in Los Angeles, THETEAM's presence spans 28 countries and more than 70 cities, including New York, London, Abu Dhabi, Amsterdam, Hong Kong, Madrid, Mexico City, Toronto, Paris and Sydney. For more information, please visit THE.TEAM.

Job Overview

THETEAM is looking for a Creative Product Technologist, Data & AI to help our Performance & Insights team design, prototype, and ship data-visualization, measurement, data-capture, web-app, and AI-enabled tools for clients across sports and entertainment.

At its core, this is a hands-on product-development and rapid-prototyping role. The candidate's deepest capability is taking an ambiguous brief and turning it into a working, useful product, supported by strong UI/design and data-visualization skills. The candidate will use AI-assisted development to structure data, connect APIs, build web-app experiences, and ship working tools, while producing design-grade interfaces and clear data visualization along the way.

This is not intended to be a traditional client-service role, but the person will work closely with Performance & Insights, paid media, digital account teams, and other internal stakeholders. They will act as the technical and creative engine behind owned-audience, insight-access, and performance-marketing products in the U.S. market.

What You'll Do

  • Design, prototype, and ship fan-facing and internal tools, including data-visualization, data-capture, measurement, dashboard, and web-app products.
  • Translate digital account team briefs, client goals, and internal Performance & Insights needs into technical specs, user flows, data models, interfaces, and working prototypes.
  • Use AI-assisted workflows across OpenAI, Anthropic, and emerging tools for rapid prototyping, vibe-coding, design automation, QA, documentation, and iteration.
  • Build dashboards, interactive reports, and visual frameworks that make performance, social, survey, CRM, first-party, and platform data easier to understand and act on.
  • Create design-grade UI/UX, wireframes, high-fidelity interfaces, landing page sketches, sample ads, audience journeys, and performance marketing mock-ups.
  • Partner with Performance & Insights consultants, social analytics experts, paid media leads, digital account managers, and data/engineering partners to move ideas from ambiguity to useful output.
  • Build with data-privacy sensitivity by default, especially when handling first-party, client, campaign, survey, or PII-adjacent data.
  • Document tools, workflows, assumptions, limitations, and reusable patterns so outputs can scale across the client portfolio.
  • Stay current on AI, creative technology, performance marketing, and digital-product trends, proactively bringing useful new methods into the team toolkit.

What We're Looking For

  • 4-6+ years building and shipping digital products - web apps, interactive tools, dashboards, prototypes, or internal platforms - with a portfolio of live or pilot-ready work that shows clear evidence of your role.
  • AI-native way of working. Practical, fluent use of OpenAI, Claude/Anthropic, and emerging tools to compress build cycles from weeks to days - coding, design automation, research, analysis, QA, documentation, and rapid prototyping.
  • Ability to take a product from idea to working, deployed tool largely on your own. Comfortable with a modern JavaScript/TypeScript framework, connecting data and APIs, and getting something hosted and usable. You do not need to be a specialist full-stack engineer - AI-assisted development is expected to cover the depth a traditional engineer would bring.
  • Comfort working in ambiguity, defining the path forward, and proactively suggesting better ways to solve a problem.
Strong supporting skills
  • Product design and UI/UX, including advanced Figma skills and comfort moving from wireframes to high-fidelity, on-brand interfaces.
  • Data fluency and data visualization - working with structured datasets, APIs, BI/dashboard tools, and SQL literacy; ability to understand data models, join datasets, QA outputs, and partner with data/engineering teams on Snowflake, Tableau, or similar workflows.
  • Advanced Adobe Creative Suite and/or comparable design-production capability.
  • Data-privacy sensitivity by instinct and in practice, including responsible handling of first-party, client, campaign, and PII-adjacent data.
  • Strong written communication and documentation habits so prototypes can become repeatable workflows or scalable products.
Nice to have
  • Sports, entertainment, media, agency, consulting, or performance-marketing background.
  • Experience with Python, R, advanced SQL, D3, Plotly, Observable, Tableau, Power BI, Looker Studio, Snowflake, Qualtrics, Google Analytics, Meta/Google ad platforms, owned-audience growth, CRM, first-party data capture, surveys, quizzes, or gamification mechanics.
What We Offer:
  • Professional Development: Take advantage of our learning and development programs, mentorship opportunities, and career advancement support.
  • Generous Time Off: Enjoy generous paid time off and holiday allowances to recharge and spend time with loved ones.
  • Parental Leave: We provide paid parental leave to support your family during important life events.
  • Retirement Plan:401k planincluding contribution matching.
  • Healthcare:Medical, dental, vision,FSA/HSA,lifeanddisabilitycoverageoptions.
  • Ancillary:Critical illness, identity protection, pet insurance, 529 plans and more
  • Commuter Benefits: Access support for travel and commuting needs, where available

Base salary range: $80k - $120k, plus bonus potential if applicable for role.
Actual base salary is dependent on several factors including but not limited to; market dynamics, location and region, experience, specialized skills/training (education), level of responsibility, budgetary considerations, tenure at the company (for current employees), etc. The salary range listed is just one component of the total compensation package for employees. Compensation decisions are dependent on circumstances of each role.

THETEAM does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits.