2

Part Time Data Engineer Jobs in Phoenix, AZ (NOW HIRING)

Senior Software Engineer

Glendale, AZ · On-site

$121K - $160K/yr

Telework Type: Part-Time Telework * Work Location: Glendale, AZ Extraordinary teams building ... The ideal candidate will possess strong expertise in Azure Data Lake, Azure Data Factory ...

Senior Software Engineer

Glendale, AZ

$121K - $160K/yr

Telework Type: Part-Time Telework * Work Location: Glendale, AZ Extraordinary teams building ... The ideal candidate will possess strong expertise in Azure Data Lake, Azure Data Factory ...

New

Data Analyst

Phoenix, AZ · 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 ...

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 ...

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 · 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 ...

Senior Fire & Life Safety Engineer

Chandler, AZ · On-site

$102K - $140K/yr

Telework Type: Part-Time Telework * Work Location: Chandler, AZ Extraordinary teams building ... Interprets new or special regulations, codes, standards, criteria, and performance data, providing ...

Telework Type: Part-Time Telework * Work Location: Chandler, AZ Extraordinary teams building ... Interprets new or special regulations, codes, standards, criteria, and performance data, providing ...

New

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 ...

next page

Showing results 1-20

Part Time Data Engineer information

See Phoenix, AZ salary details

$44.2K

$128.8K

$176.2K

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

As of Aug 2, 2026, the average yearly pay for part time data engineer in Phoenix, AZ is $128,797.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,700.00 and $136,500.00 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 Phoenix, AZ? The most popular types of Data Engineer jobs in Phoenix, AZ are:
What are popular job titles related to Part Time Data Engineer jobs in Phoenix, AZ? For Part Time Data Engineer jobs in Phoenix, AZ, the most frequently searched job titles are:
What job categories do people searching Part Time Data Engineer jobs in Phoenix, AZ look for? The top searched job categories for Part Time Data Engineer jobs in Phoenix, AZ are:
What cities near Phoenix, AZ are hiring for Part Time Data Engineer jobs? Cities near Phoenix, AZ with the most Part Time Data Engineer job openings:
Infographic showing various Part Time Data Engineer job openings in Phoenix, AZ as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $128,797 per year, or $61.9 per hour.

Senior Software Engineer

Bechtel

Glendale, AZ • On-site

$121K - $160K/yr

Part-time

Posted 4 days ago


Bechtel rating

7.6

Company rating: 7.6 out of 10

Based on 65 frontline employees who took The Breakroom Quiz

271st of 439 rated engineering


Job description

Requisition ID: 297628
  • Relocation Authorized: None
  • Telework Type: Part-Time Telework
  • Work Location: Glendale, AZ

Extraordinary teams building inspiring projects:
Since 1898, we have helped customers complete more than 25,000 projects in 160 countries on all seven continents that have created jobs, grown economies, improved the resiliency of the world's infrastructure, increased access to energy, resources, and vital services, and made the world a safer, cleaner place.
Differentiated by the quality of our people and our relentless drive to deliver the most successful outcomes, we align our capabilities to our customers' objectives to create a lasting positive impact. We serve the Infrastructure; Nuclear, Security & Environmental; Energy; Mining & Metals, and the Manufacturing and Technology markets. Our services span from initial planning and investment, through start-up and operations.
Core to Bechtel is our Vision, Values and Commitments. They are what we believe, what customers can expect, and how we deliver. Learn more about our extraordinary teams building inspiring projects in our Impact Report.
Job Summary:
We are seeking a highly skilled and motivated Senior Software Engineer specializing in Data Engineering and Power BI Analytics to join our growing team. This role will focus on designing, developing, and optimizing scalable data solutions within the Azure cloud environment while enabling advanced analytics and business intelligence using Power BI and SAP Business Objects.The ideal candidate will possess strong expertise in Azure Data Lake, Azure Data Factory, Databricks, SAP Business Objects and Power BI, with the ability to design end-to-end data pipelines and build robust analytical models and dashboards that drive business insights. This role will play a key part in delivering enterprise analytics solutions, data visualization frameworks, and self-service BI capabilities for business stakeholders. #LI-SM2
"This position is designated as part-time telework per our global telework policy and may require at least three days of in-person attendance per week at the assigned office or project. Weekly in-person schedules will be determined by the individual and their supervisor, in consultation with functional or project leadership"
Major Responsibilities:
  • Design, develop, and optimize scalable data processing pipelines and architectures within Azure Data Lake and Databricks, ensuring performance, scalability, and maintainability.
  • Implement and manage complex ETL/ELT data pipelines integrating data from multiple enterprise sources such as databases, APIs, and external systems.
  • Use Azure Data Factory for workflow orchestration, scheduling, and monitoring of enterprise data pipelines.
  • Implement data quality validation frameworks to ensure accuracy, completeness, and consistency across the data platform.
  • Optimize data storage, transformation, and query performance within Azure environments including Databricks, Azure SQL, and Synapse.Design, develop, and maintain enterprise Power BI solutions, including semantic models, datasets, dashboards, and analytical reports.
  • Build interactive and visually compelling dashboards that translate complex data into meaningful insights for business stakeholders.Develop Power BI data models, including star schemas, DAX measures, calculated columns, and optimized datasets.
  • Implement Power BI data governance and security, including Row-Level Security (RLS) and workspace management.
  • Optimize Power BI performance through dataset optimization, query tuning, aggregation strategies, and incremental refresh.
  • Enable self-service analytics capabilities for business users by building reusable datasets and standardized data models.

Other Major Responsibilities
  • Develop and maintain reports and dashboards using Power BI and SAP Business Objects and Business Warehouse, ensuring data accuracy and consistency.
  • Work closely with business stakeholders to translate reporting and analytics requirements into scalable BI solutions.
  • Support migration or modernization of legacy reporting platforms to Power BI-based analytics solutions.
  • Collaborate with data engineers, business analysts, and data scientists to deliver integrated analytics solutions.mplement and maintain Azure security and governance policies including data access controls, encryption, and compliance.
  • Monitor and troubleshoot data pipelines and reporting solutions, resolving performance issues proactively.
  • Maintain technical documentation including data architecture, pipeline design, and analytics solutions.

Education and Experience Requirements:
  • Requires bachelor's degree (or international equivalent) and 5-8 years of relevant experience or 9-12 years of relevant work experience
  • US citizenship is required.

Required Knowledge and Skills:
  • 10+ years of experience in Data Engineering, Business Intelligence, or Analytics platforms.
  • Strong hands-on expertise with Azure Data Lake, Azure Data Factory, Databricks, and Power BI development and analytics.
  • Extensive experience building Power BI data models, dashboards, and enterprise BI solutions.
  • Strong proficiency in SQL, query optimization, and performance tuning.
  • Experience designing data models for analytics such as star schema and dimensional modeling.
  • Hands-on experience with Azure services including Azure Synapse Analytics, Azure SQL Database, and Azure Blob Storage.
  • Experience integrating data engineering pipelines with Power BI analytics platforms.
  • Experience supporting or developing reports in SAP Business Objects.
  • Strong analytical, troubleshooting, and problem-solving skills.
  • Excellent communication and collaboration skills

Total Rewards/Benefits:
For decades, Bechtel has worked to inspire the next generation of employees and beyond! Because our teams face some of the world's toughest challenges, we offer robust benefits to ensure our people thrive. Whether it is advancing careers, delivering programs to enhance our culture, or providing time to recharge, Bechtel has the benefits to build a legacy of sustainable growth. Learn more at Bechtel Total Rewards
Diverse teams build the extraordinary:
As a global company, Bechtel has long been home to a vibrant multitude of nationalities, cultures, ethnicities, and life experiences. This diversity has made us a more trusted partner, more effective problem solvers and innovators, and a more attractive destination for leading talent.
We are committed to being a company where every colleague feels that they belong-where colleagues feel part of "One Team," respected and rewarded for what they bring, supported in pursuing their goals, invested in our values and purpose, and treated equitably. Click here to learn more about the people who power our legacy.
Bechtel is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity and expression, age, national origin, disability, citizenship status (except as authorized by law), protected veteran status, genetic information, and any other characteristic protected by federal, state or local law. Applicants with a disability, who require a reasonable accommodation for any part of the application or hiring process, may e-mail their request to acesstmt@bechtel.com

What Bechtel employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom