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Data Engineer Jobs in Arizona (NOW HIRING)

Innova Solutions, Inc

Data Engineer

Phoenix, AZ · On-site

$50 - $55/hr

A client of Innova Solutions is immediately hiring for a Data Engineer Job Type: Full-Time / Contract (W2) Duration: 12+ Months (Possible extension) Location: Chandler, AZ / Charlotte, NC ...

MOUNTAIN PARK HEALTH CENTER

Data Engineer

Phoenix, AZ · On-site

$108K - $130K/yr

The Data Engineer plays a critical role in designing, building, and maintaining the enterprise data infrastructure that powers clinical, operational, and strategic decision-making across Mountain ...

MOUNTAIN PARK HEALTH CENTER

Data Engineer

Phoenix, AZ

$108K - $130K/yr

The Data Engineer plays a critical role in designing, building, and maintaining the enterprise data infrastructure that powers clinical, operational, and strategic decision-making across Mountain ...

Mountain Park Health Center

Data Engineer

Phoenix, AZ · On-site

$108K - $130K/yr

Description The Data Engineer plays a critical role in designing, building, and maintaining the enterprise data infrastructure that powers clinical, operational, and strategic decision-making across ...

Mountain Park Health Center

Data Engineer

Phoenix, AZ · On-site

$108K - $130K/yr

Description The Data Engineer plays a critical role in designing, building, and maintaining the enterprise data infrastructure that powers clinical, operational, and strategic decision-making across ...

Forhyre

Data Engineer

Phoenix, AZ

$113K - $136K/yr

We are looking for a passionate certified Data Engineer. The successful candidate will turn data into information, information into insight and insight into business decisions. Data analyst ...

Cesco

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

As a Data Engineer at Crescent Electric Supply, you will be responsible for the architecture, development, and management of Crescent's data pipelines, enabling reliable analytics and downstream ...

VRN Technologies

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

· 8+ years of experience in Data Engineering and data pipeline development. · Strong hands-on experience with Snowflake for cloud data warehousing. · Strong experience with dbt (Data Build Tool ...

Stellar IT Group

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Data Engineer Location: Phoenix, AZ(Hybrid) Job Type: FTE Key Responsibilities Data Platform & Pipeline Development * Design, develop, and maintain cloud-native data pipelines using Databricks ...

Innova Solutions, Inc

Data Engineer

Phoenix, AZ · On-site

$40 - $42/hr

A client of Innova Solutions is immediately hiring for a Data Engineer position Position type: Fulltime, Contract Duration: 12 months Location: Charlotte, NC/ Irving, TX/ Phoenix, AZ/ Minneapolis, MN ...

Inficare Technologies

GCP Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

GCP Data Engineer Location: Phoenix, AZ Job Type: Contract (Long Term) Experience: Senior Level Job Overview Our client is seeking a Senior GCP Data Engineer to join their growing data team in ...

Deloitte

Data Engineer

Tempe, AZ · On-site

$109K - $131K/yr

As an experienced Data Engineer you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity with ...

Tror AI for everyone

Data Engineer

Scottsdale, AZ · On-site

$115K - $138K/yr

Job Title: - Data Engineer Location: - Scottsdale AZ (Day 1 Onsite) Job Type: - Contract ***Note: Need 12+ years of experience resumes*** Must have: * Strong Experience in Scala, Spark, hive SQL ...

NucleusTeq

GCP Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Role GCP Data Engineer Location Phoenix, AZ Duration: 12+ Months Skills: * Years of experience : 5-7 years * GCP Cloud : GCS, DataProc, BigQuery, Composer/Airflow * Big Data: PySpark * Spark, Python ...

Globe Telecom, Inc.

Data Engineer Manager

Globe, AZ · On-site

$108K - $130K/yr

The Data Engineering Manager is responsible for the designing, building, and maintaining automated data pipelines across multi-platform environments. This role ensures the integration, storage, and ...

NucleusTeq

GCP Data Engineer

Phoenix, AZ

$113K - $136K/yr

Role - GCP Data Engineer Location - Phoenix, AZ Duration: 12+ Months Skills: * Years of experience : 5-7 years * GCP Cloud : GCS, DataProc, BigQuery, Composer/Airflow * Big Data: PySpark * Spark ...

Nucleusteq

GCP Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Role - GCP Data Engineer Location - Phoenix, AZ Duration: 12+ Months Skills: * Years of experience : 5-7 years * GCP Cloud : GCS, DataProc, BigQuery, Composer/Airflow * Big Data: PySpark * Spark ...

TriWest Healthcare

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Job Summary The Data Engineer will be responsible for design and development of ETL. The role will cover full systems development life cycle (SDLC) phases including requirements gathering, data ...

Viasat

Data Engineer

Tempe, AZ · On-site

$111K - $133K/yr

They are seeking a Data Engineer to build infrastructure and tools for data collection and processing, enabling data access for various use cases and supporting the growth of the company.

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Showing results 21-40

All JobsData Engineer JobsData Engineer Jobs in Arizona

Data Engineer information

See Arizona salary details

$41.5K

$120.9K

$165.4K

How much do data engineer jobs pay per year?

As of Sep 8, 2026, the average yearly pay for data engineer in Arizona is $120,881.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,700.00 and $128,100.00 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.
More about Data Engineer jobs

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

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Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Arizona as of September 2026, with employment types broken down into 60% Full Time, 5% Temporary, and 35% Contract. Highlights an 95% In-person, and 5% Hybrid job distribution, with an average salary of $120,881 per year, or $58.1 per hour.

Sr. Data Engineer (Snowflake)

Snowflake, AZ • On-site

Data Ideology, LLC
IT Services • 11 - 50 employees
Learn more about Data Ideology, LLCexternal

$100 - $125/hr

Other

Medical, Dental, Vision, Retirement

Posted 7 days ago

Key responsibilities

  • Design and build scalable, secure, and cost‑effective data solutions in Snowflake.

  • Develop and optimize data pipelines using tools such as dbt, Python, CloverDX, and cloud‑native services.

  • Participate in discovery sessions with clients to gather requirements and translate them into solution designs and project plans.

Job description

Data Ideology

At DI, we provide Data & Analytics expertise to drive measurable business outcomes, often solving complex business problems for our clients. Our data analytics advisory services enable our customers to transform data into insights by driving a culture of empowerment and ownership of results. Our team consists of highly motivated individuals who are passionate about learning, understanding, collaborating, and who are intellectually curious.

For more information about Data Ideology, visit www.dataideology.com.

Sr. Data Engineer - (Snowflake)

Data Ideology is seeking a Sr. Snowflake Data Engineer to join our growing team in a client‑facing, consultative role that blends solution design with hands‑on delivery. You will work directly with clients and our internal teams to design, implement, and optimize modern data platforms in Snowflake.

This role is ideal for experienced data engineers who want to expand their impact by engaging with clients early in the process to understand requirements, shape solutions, and then lead the delivery of high‑quality implementations. While you will occasionally support the scoping of new projects, this is not a sales role — your primary focus will be on technical execution, solution architecture, and delivery leadership.

Responsibilities
  • Design and build scalable, secure, and cost‑effective data solutions in Snowflake.
  • Develop and optimize data pipelines using tools such as dbt, Python, CloverDX, and cloud‑native services.
  • Participate in discovery sessions with clients to gather requirements and translate them into solution designs and project plans.
  • Collaborate with engagement managers and account teams to help scope work and provide technical input for Statements of Work (SOWs).
  • Serve as a Snowflake subject matter expert, guiding best practices in performance tuning, cost optimization, access control, and workload management.
  • Lead modernization and migration initiatives to move clients from legacy systems into Snowflake.
  • Integrate Snowflake with BI tools, governance platforms, and AI/ML frameworks.
  • Contribute to internal accelerators, frameworks, and proofs of concept.
  • Mentor junior engineers and support knowledge sharing across the team.

Supervisory Responsibilities: None

Qualifications

Education and Experience:

  • 7+ years of experience in data engineering, data warehousing, or data architecture.
  • 3+ years of hands‑on Snowflake experience (performance tuning, data sharing, Snowpark, Snowpipe, etc.).
  • Strong SQL and Python skills, with production experience using dbt.
  • Familiarity with cloud platforms (AWS, Azure, or GCP) and modern data tooling (Airflow, Fivetran, Power BI, Looker, Informatica, etc.).
  • Prior experience in a consulting or client‑facing delivery role.
  • Excellent communication skills, with the ability to collaborate across technical and business stakeholders.
  • Preferred - SnowPro Certification
Work Environment
  • Remote work from home.
  • Hours of work and days are generally Monday through Friday. Specific business hours will depend on client needs.
Physical Demands
  • Must be able to remain in a stationary position 50% of the time.
  • The person in this position must occasionally move about inside the office to access file cabinets, library stacks, office machinery, etc.
  • Constantly operates a computer and other office productivity machinery, such as a calculator, copy machine, and printer.
  • The person in this position frequently communicates with clients and coworkers. Must be able to exchange accurate information in these situations.
Benefits
  • Eligible for Medical, Dental, Vision, 401(k), training and certification reimbursement, and flexible time off in accordance with company policies.

Data Ideology is an EEO Employer

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