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Part Time Data Engineer Jobs in Arizona (NOW HIRING)

Data Analyst

Phoenix, AZ ยท Remote

$5.7K - $6.5K/mo

... Part-time Full-time Exempt / Non-Exempt Exempt Risk Designation: Extremely High Summary The Data ... Hands-on experience with data extraction from data sources using analysis tools and programming ...

Part-Time Test Engineer Who we are: Lunewave Inc. is a privately held technology company developing ... Following the conclusion of the testing, the collected data will be added to the companies ...

Part-Time Test Engineer Who we are: Lunewave Inc. is a privately held technology company developing ... Following the conclusion of the testing, the collected data will be added to the companies ...

Telework Type: Part-Time Telework * Work Location: Chandler, AZ, Houston, TX, Reston, VA * Only ... USD 140,800 - USD 203,700 annually (salary range is based on market data; final salary offered is ...

Telework Type: Part-Time Telework * Work Location: Chandler, AZ, Houston, TX, Reston, VA * Only ... USD 140,800 - USD 203,700 annually (salary range is based on market data; final salary offered is ...

This is an exciting opportunity to work on state-of-the-art cleanrooms, research labs, data centers ... Regular full-time and part-time employees (working at least 20 hours per week) have access to ...

... engineering team on a part-time basis. This position will assist with maintaining, updating, and organizing project drawings and mapping data to support ongoing field and office operations. The ideal ...

Telework Type: Part-Time Telework * Work Location: Chandler, AZ, Houston, TX, Various Work ... USD 106,900 - USD 154,700 annually (salary range is based on market data; final salary offered is ...

Telework Type: Part-Time Telework * Work Location: Chandler, AZ, Houston, TX, Various Work ... USD 106,900 - USD 154,700 annually (salary range is based on market data; final salary offered is ...

Senior Controls Systems Engineer

Chandler, AZ ยท On-site

$164K - $170K/yr

Telework Type: Part-Time Telework * Work Location: Chandler, AZ Extraordinary teams building ... Knowledge of instrumentation and control valves including specifications, generation of data sheets ...

Senior Controls Systems Engineer

Chandler, AZ ยท On-site

$164K - $169K/yr

Telework Type: Part-Time Telework * Work Location: Chandler, AZ Extraordinary teams building ... Knowledge of instrumentation and control valves including specifications, generation of data sheets ...

Lead Life Safety CSU Engr

Chandler, AZ ยท On-site

$100K - $132K/yr

Telework Type: Part-Time Telework * Work Location: Chandler, AZ Extraordinary teams building ... The engineer ensures these systems function as designed and meet the stringent safety, reliability ...

Lead Life Safety CSU Engr

Chandler, AZ

$101K - $133K/yr

Telework Type: Part-Time Telework * Work Location: Chandler, AZ Extraordinary teams building ... The engineer ensures these systems function as designed and meet the stringent safety, reliability ...

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Showing results 1-20

Part Time Data Engineer information

See Arizona salary details

$41.5K

$120.9K

$165.4K

How much do part time data engineer jobs pay per year?

As of Jul 28, 2026, the average yearly pay for part time 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 types of projects and responsibilities can I expect as a Part Time Data Engineer?

As a Part Time Data Engineer, you might work on projects such as developing and maintaining data pipelines, optimizing database performance, and preparing data for analytics and reporting. Responsibilities often include extracting, transforming, and loading (ETL) data, collaborating with data analysts and scientists, and troubleshooting data-related issues. You may also help implement data quality checks or participate in cloud migration initiatives. The scope of your work will typically be focused and project-based, making sure your contributions have a tangible impact within a flexible schedule.

What engineers make $300,000 a year?

Senior data engineers with extensive experience, advanced skills in cloud platforms, big data tools, and strong programming knowledge can earn $300,000 or more annually. High compensation often depends on industry, location, and the complexity of projects handled.

Will AI replace data engineer?

AI is unlikely to fully replace data engineers, as their role involves designing, building, and maintaining data infrastructure that requires human oversight and expertise. While AI can automate certain tasks like data cleaning and processing, data engineers are essential for managing complex systems, ensuring data quality, and integrating new technologies. Skills in programming, cloud platforms, and data architecture remain critical in this evolving field.

What engineer makes $500,000 a year?

Highly experienced data engineers working in senior or specialized roles at large tech companies or financial institutions can earn $500,000 or more annually, often including bonuses and stock options. Achieving this level typically requires advanced skills in data architecture, cloud platforms, and programming, along with significant industry experience and certifications.

What is a Part Time Data Engineer job?

A Part-Time Data Engineer is responsible for designing, building, and maintaining data pipelines and databases on a reduced-hour basis. They work with structured and unstructured data to ensure efficient storage, retrieval, and processing, often collaborating with data analysts and scientists. This role is ideal for professionals seeking flexible work arrangements while still contributing to data infrastructure and analytics. Part-time data engineers may work as freelancers, consultants, or employees with reduced-hour contracts. Their responsibilities can vary based on company needs but typically involve ETL processes, cloud data management, and performance optimization.

What are the key skills and qualifications needed to thrive in the Part Time Data Engineer position, and why are they important?

To thrive as a Part Time Data Engineer, you need strong programming skills (usually in Python, SQL, or Scala), a solid understanding of data warehousing concepts, and experience with ETL pipelines, typically supported by a relevant degree or equivalent experience. Familiarity with cloud platforms like AWS, Azure, or Google Cloud, and relevant certifications such as Google Professional Data Engineer or AWS Certified Data Analytics, are highly valued. Effective time management, problem-solving abilities, and clear communication are standout soft skills for this flexible role. These skills are crucial because they enable part-time data engineers to efficiently deliver reliable data solutions while collaborating across teams in dynamic work environments.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing need for managing large data systems, building data pipelines, and supporting data analytics. Skills in cloud platforms, SQL, and programming languages like Python or Scala enhance job prospects in this field.
What are the most commonly searched types of Data Engineer jobs in Arizona? The most popular types of Data Engineer jobs in Arizona are:
What are popular job titles related to Part Time Data Engineer jobs in Arizona? For Part Time Data Engineer jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Part Time Data Engineer jobs in Arizona look for? The top searched job categories for Part Time Data Engineer jobs in Arizona are:
What cities in Arizona are hiring for Part Time Data Engineer jobs? Cities in Arizona with the most Part Time Data Engineer job openings:
Infographic showing various Part Time Data Engineer job openings in Arizona as of July 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, 1% Temporary, and 2% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $120,881 per year, or $58.1 per hour.
Data Analyst

Data Analyst

Contexture

Phoenix, AZ โ€ข Remote

$5.7K - $6.5K/mo

Full-time, Part-time

Posted 12 days ago


Job description

Job Code:                                                          DATANLST

Reports To:                                                       Manager, Data Services
Base Location:                                                AZ or CO

Work Status:                                                    Virtual Office

Minimum Starting Monthly Range:        $5,757

Hiring Range (Monthly Pay):                     $5,757 - $6,583

Full-time / Part-time                                     Full-time

Exempt / Non-Exempt                                 Exempt

Risk Designation:                                          Extremely High

Summary
The Data Analyst will work as part of the Data Services team under the direction of the Manager, Data Services to implement, maintain, and support Contexture's reporting solutions.  This role will translate approved report specifications into production ready reports, supporting report automation activities, and ensuring timely delivery of reporting products to internal and external stakeholders. This position serves as a technical resource for report development and implementation while collaborating with cross-functional teams to ensure data accuracy, consistency, and alignment with organizational reporting standards.

This position is based in Phoenix Arizona; Denver Colorado; or Grand Junction, Colorado and requires local residency in one of these base locations. Our strategic flexibility allows for local work from home opportunities.

Qualifications

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skills, and/or abilities required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Essential Duties and Responsibilities include the following:

  • Develop, implement, and maintain reports based on approved business and technical specifications.
  • Support report implementation activities, testing, and customer onboarding for new reports.
  • Support internal and external customers in data analysis and reporting activities, including in-depth analysis of source data.
  • Develop and maintain SQL queries, data extracts, and report logic required for report production.
  • Execute report validation and quality assurance activities to ensure accuracy and completeness of report outputs.
  • Support recurring production and delivery of reports to customers and internal stakeholders.
  • Troubleshoot report issues, research data discrepancies, and implement corrective actions.
  • Assist in the research, data analysis, data measurement, and data reporting methodologies, technologies, and tools.
  • Maintain report documentation, technical specifications, and operational procedures.
  • Analyze clinical, claims, SDOH, operational, and financial data to support reporting requirements.
  • Performs other related duties as assigned.

Skills

  • Demonstrated experience developing, implementing, and supporting reporting solutions, data extracts, and analytical deliverables.
  • Experience supporting recurring report production, report distribution, and operational reporting processes.
  • Experience creating and maintaining report specifications.
  • Experience working with relational databases and analytical datasets to support reporting, business intelligence, and data analysis.
  • Hands-on experience with data extraction from data sources using analysis tools and programming languages, specifically Python and SQL.
  • Ability to understand and analyze various data domains, including clinical, claims, social determinants of health (SDOH), financial, and operational data.
  • Ability to validate data accuracy, identify data quality issues, perform root cause analysis, and implement corrective actions.
  • Practical experience with industry-accepted standards, best practices, and principles for implementing well-designed data analysis and reporting solutions.
  • Technical Skills and Experience: 
    • Experience working with large and complex datasets that are both structured and unstructured data
      • Required Languages: Python and SQL
      • Required Libraries: PyData stack
    • Data storage experience with Microsoft SQL Server, MongoDB, and Snowflake
    • SQL query development using query planning and optimization techniques  
    • File manipulation across varied file types, encodings, formats, and standards  
    • Secure Software Development Lifecycle (SSDLC), version control, and release management 
  • Knowledge of healthcare interoperability standards such as HL7 (Health Level 7), FHIR (Fast Healthcare Interoperability Resources), CDA (Clinical Document Architecture), etc. 
  • Knowledge of healthcare clinical code sets such as LOINC, SNOMED, CPT, ICD-10, etc. 
  • Strong understanding of project management disciplines such as Agile and Waterfall.
  • Ability to translate business requirements and technical specifications into accurate and scalable reporting solutions.
  • Ability to work in a fast-paced and rapidly changing environment while consistently meeting strict service level agreement performance requirements.
  • Ability to work independently as well as ability to effectively work in a team environment and maintain strong working relationships.
  • Effective verbal and written communication skills with the ability to explain data findings and reporting outputs to technical and non-technical stakeholders.
  • Working knowledge of Microsoft Office 365 toolset (OneDrive, Word, Excel, and PowerPoint).

Education/Experience

  • Minimum of 3+ years of experience working in data-related positions with increasing responsibility and scope of duties; specifically, 2+ years working with relational databases, 2+ years working with analytical data.
  • A Bachelorโ€™s Degree is required with a concentration in a data-related field such as Computer Science, Informatics, Mathematics, Engineering, etc.

Work Environment

The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. The noise level in the work environment is usually moderate.

The position may  require occasional availability for after-hours work, outside of regularly scheduled hours.

The position may require ability to periodically drive to and from clients, conferences and / or events; and / or limited travel.

This position is expected to be exposed to, process, or handle sensitive information including but not limited to Protected Health Information (PHI), Personally Identifiable Information (PII), financial information, etc. As such, the holder of this position is expected to comply with all applicable laws, regulations, organizational policies, and compliance expectations.

Physical Demands

The physical demands described here are representative of those necessary to perform the essential functions of the role:

  • Frequent communication and information exchange.
  • Regular movement within the office to access equipment and materials.
  • Ability to remain stationary for extended periods (approximately 50% of the time).
  • Continuous use of computers and office equipment (e.g., keyboard, monitor, printer).
  • Frequent handling of materials up to 10 lbs; occasional handling up to 30 lbs.

Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.

Note: This job description is not intended to be an exhaustive list of all duties, responsibilities and / or qualifications associated with the job.

 

Benefits: The organization provides a comprehensive benefits package. For details, please request a Benefit Summary from our Benefits Department.

The organization is an inclusive Equal Opportunity Employer. We do not discriminate on the basis of age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or other status protected by law or regulation. 

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