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Data Engineer Jobs in Tucson, AZ (NOW HIRING)

Lead Data Engineer

Tucson, AZ ยท On-site

$148K - $198K/yr

Own the data engineering frameworks and capabilities for Orbit and Book of Work, defining how data sources and data products are configured, built, deployed, observed, and operated on Helix. You'll ...

Lead Data Engineer

Tucson, AZ ยท On-site

$148K - $198K/yr

Own the data engineering frameworks and capabilities for Orbit and Book of Work, defining how data sources and data products are configured, built, deployed, observed, and operated on Helix. You'll ...

Lead Data Engineer

Tucson, AZ ยท On-site

$148K - $198K/yr

Own the data engineering frameworks and capabilities for Orbit and Book of Work, defining how data sources and data products are configured, built, deployed, observed, and operated on Helix. You'll ...

Senior RF Data Link Engineer

Tucson, AZ ยท On-site

$86.80 - $165.20/hr

Role Overview Advanced Effector Guidance Systems at Raytheon is seeking Electrical Engineers with experience designing wireless communication and data links for tactical missile programs. The role ...

The Advanced Effector Guidance Systems is currently searching for Electrical Engineers who have experience designing wireless communication and data links. This position focuses on designing and ...

The Advanced Effector Guidance Systems is currently searching for Electrical Engineers who have experience designing wireless communication and data links. This position focuses on designing and ...

The Advanced Effector Guidance Systems team is currently searching for Electrical Engineers who have experience designing wireless communication and data links. This role includes design and test ...

The Advanced Effector Guidance Systems team is currently searching for Electrical Engineers who have experience designing wireless communication and data links. This role includes design and test ...

The Advanced Effector Guidance Systems is currently searching for Electrical Engineers who have experience designing wireless communication and data links. This position focuses on designing and ...

The Advanced Effector Guidance Systems is currently searching for Electrical Engineers who have experience designing wireless communication and data links. This position focuses on designing and ...

RF Data Link Engineer II

Tucson, AZ ยท On-site

$68.90 - $131.10/hr

Master's degree in electrical or computer engineering with a focus in digital communications, communications systems design, data link hardware development, waveform algorithm development, or digital ...

We're looking for a hands-on data/software engineer to build the instrumentation and event pipelines that feed campaign and journey triggers - especially where the data doesn't exist yet. You'll work ...

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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 6, 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.

Lead Data Engineer

Disney Experiences Careers

Tucson, AZ โ€ข On-site

$148K - $198K/yr

Other

This job post hasย expired 2 days ago.ย Applications are no longer accepted.


Job description

About The Role & Team Do you want to lead the development of tools that data engineers and business users rely on every day to build, ship, and govern data products at Disney Experiences? Helix is our enterprise data platform, powering everything from personalization to operational reporting across the business. Helix is scaling fast, and the tools engineers use to build on it need to keep pace. Own the data engineering frameworks and capabilities for Orbit and Book of Work, defining how data sources and data products are configured, built, deployed, observed, and operated on Helix. You'll set the technical design, write and review code, and partner with Data Architecture on key architectural decisions. This is a hands-on lead role. You're accountable for the code that gets built, its quality, and what ultimately gets deployed. This role sits in the Data Products & Platforms organization in Disney Experiences Technology and reports to the Director of Platform Strategy & Governance. What You'll Do: * Own the build and integration of Orbit and Book of Work, including the reusable pipeline frameworks and engineering capabilities that take data sources and products from definition through build, deployment, and ongoing operation on Helix. * Design automation and AI capabilities that translate intent into data engineering action, reducing the manual steps between an identified need and a production-ready data source or product. * Design how application data, metadata, engineering artifacts, and workflow state move and persist across the platform to enable reliable data pipelines, data product development, automation, and end-to-end engineering workflows. * Write and review production-quality code for reusable data engineering frameworks and platform capabilities, including pipeline orchestration, data processing, transformation, services, APIs, metadata, and platform integrations. * Set the design standards and QA processes for both tools, ensuring data remains compatible, operable, and reliable across every connection, transmission, and storage system it touches. * Analyze how internal and external needs are evolving and recommend changes to systems and storage to keep pace. * Help scope, estimate, and plan large, complex projects, including budget. * Track emerging technologies and bring back concrete, informed recommendations. * Own the technical health of Orbit and Book of Work in production, including observability, incident escalation, root-cause analysis, and improvements that prevent recurring operational issues. What You'll Need: * 7+ years of related work experience. * Strong data engineering skills in Python and SQL, with scripting experience for data extraction, transformation, automation, and building performant data solutions. * Experience across relational, NoSQL, cloud, and modern data platform technologies, including environments such as Snowflake, SQL Server, Postgres, DynamoDB, Redis, and AWS services such as Lambda, Kinesis, DMS, and AppFlow. * A strong focus on developer experience, including intuitive workflows, sensible defaults, observability, and reducing cognitive load for engineers. * Experience using AI, ML, or automation to remove meaningful manual work from data pipeline or data product delivery workflows. * Comfort setting technical direction and design standards for a team and defending those decisions. * Experience working in agile environments and partnering across engineering and business teams as requirements shift. * Familiarity with Snowflake and modern data platform tooling, such as Snowpipe Streaming and Snowsight, with the drive to keep growing into new data engineering tools and methods. Required Education * Bachelor's degree in computer science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience. #DISNEYTECH The hiring range for this position in FL is $148,300 - $198,800 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.