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

Conflux Systems

Databricks Engineer

Phoenix, AZ · On-site

Inform the candidate that they must not have any other part-time or full-time employment while ... Design and deliver end-to-end data engineering pipelines, including batch and real-time streaming ...

Posted today

YO AI Labs

AI Data Scientist Expert - Remote

Phoenix, AZ · Remote

$100 - $200/hr

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical ...

YO AI Labs

AI Data Science Expert - Remote

Phoenix, AZ · Remote

$100 - $200/hr

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical ...

Bechtel

Telecoms Engineer

Chandler, AZ · On-site

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 ...

Bechtel

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 ...

Bechtel

Life Safety Systems Engineer

Chandler, AZ · On-site

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 ...

Hanger, Inc.

QA/QC Engineer I

Phoenix, AZ

Participate in validation activities (IQ, OQ, PQ) by collecting data, preparing documentation, and ... Flexible Work Schedules and Part-time Opportunities * Generous Employee Referral Bonus Program

Bechtel

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 ...

Bechtel

Lead Life Safety CSU Engr

Chandler, AZ · 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 ...

Stantec

Electrical EIT - Water

Chandler, AZ · On-site

Assists with engineering duties on projects of various complexity. * Assists with collecting data ... Regular full-time and part-time employees (working at least 20 hours per week) have access to ...

Bechtel

Senior Eng - Telecoms

Chandler, AZ · On-site

$97K - $126K/yr

Telework Type: Part-Time Telework * Work Location: Chandler, AZ Extraordinary teams building ... Voice/Data) and processes utilizing relevant Engineering Department Procedures (EDPs), design ...

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All JobsData Engineer JobsPart Time Data Engineer JobsPart Time Data Engineer Jobs in Chandler, AZ

Part Time Data Engineer information

See Chandler, AZ salary details

$43.8K

$127.8K

$174.8K

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

As of Aug 26, 2026, the average yearly pay for part time data engineer in Chandler, AZ is $127,757.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,800.00 and $135,400.00 per year, depending on experience, location, and employer.

What is a part time data engineer?

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 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 are the key skills and qualifications needed to thrive as a part time data engineer?

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 part time data engineers still in demand?

Part-time data engineers are still in demand as organizations seek flexible staffing for data management, analytics, and infrastructure projects. Skills in SQL, cloud platforms, and data pipeline tools remain valuable, and remote or flexible schedules are increasingly common in this field.

Can I work remotely as a part time data engineer?

Part time data engineers can often work remotely, especially if the employer supports telecommuting and the role involves tasks like data analysis, pipeline development, or database management that can be performed online. Remote work arrangements depend on company policies, project requirements, and the need for collaboration or on-site access to certain tools or data.

What are the most commonly searched types of Data Engineer jobs in Chandler, AZ?

The most popular types of Data Engineer jobs in Chandler, AZ are:

What job categories do people searching Part Time Data Engineer jobs in Chandler, AZ look for?

The top searched job categories for Part Time Data Engineer jobs in Chandler, AZ are:

What cities near Chandler, AZ are hiring for Part Time Data Engineer jobs?

Cities near Chandler, AZ with the most Part Time Data Engineer job openings:

Part Time Data Engineer jobs near you
Infographic showing various Part Time Data Engineer job openings in Chandler, AZ as of August 2026, with employment types broken down into 100% Part Time. Highlights an 100% In-person job distribution, with an average salary of $132,449 per year, or $63.7 per hour.

Databricks Engineer

Phoenix, AZ • On-site

Conflux Systems
11 - 50 employees
Learn more about Conflux Systemsexternal

Full-time, Part-time

Posted 14 hours ago

Posted today

Job description

Visa not allowed.
  • CPT EAD
  • Stem - OPT
  • OPT EAD
  • FTE to Subco conversion - 6 months cooling period we need to follow or get approval.

  • Atos has stringent compliance and security requirements that all employees are expected to adhere to.
  • Inform the candidate that they must not have any other part-time or full-time employment while working with Atos on this assignment.
  • Obtain explicit confirmation from the candidate that they understand and are comfortable with these requirements and the expected work arrangement before proceeding further.

Client Name - AMEX
Glow - 3ET0JY
Posman - 134667
Role / Skills - Databricks Engineer
Rate - USD $52
Location - Pheonix - Day 1 Onsite - min 3 days a week.
JD - Confirm / share us the complete JD and lets us know if anything specific:
Databricks Engineer
Role Overview
We are seeking a highly skilled Databricks Engineer to lead the design, implementation, and optimization of scalable cloud-based data platforms. This role requires deep expertise in Lakehouse architecture, Databricks, Apache Spark, and Delta Lake, along with proven experience delivering end-to-end enterprise data engineering solutions.
Key Responsibilities
  • Design and deliver end-to-end data engineering pipelines, including batch and real-time streaming solutions.
  • Lead implementation of:
  • Cloud-based data lakehouse platforms integrating diverse data sources.
  • Real-time data processing pipelines for operational and analytical use cases.
  • Develop scalable ETL/ELT pipelines using PySpark, Scala, and SQL.
  • Implement advanced data modeling solutions including 3NF, dimensional modeling, and enterprise data warehousing strategies.
  • Design and build incremental data loading frameworks and metadata-driven ingestion pipelines.
  • Establish data quality frameworks and governance standards.
  • Implement and manage Unity Catalog, including fine-grained security and access controls.
  • Leverage Databricks components such as:
  • Delta Live Tables
  • Autoloader
  • Structured Streaming
  • Databricks Workflows
  • Integration with orchestration tools (e.g., Apache Airflow)
  • Drive CI/CD automation, deployment strategies, and DevOps best practices.
  • Optimize performance of pipelines, Spark jobs, and compute resources.
  • Provide architectural guidance and technical leadership across cross-functional teams.
  • Engage with stakeholders and clients to translate business requirements into scalable technical solutions.

Deep expertise in:
  • Databricks and cloud-native storage/compute platforms
  • Apache Spark (batch & streaming)
  • Delta Lake & Lakehouse architecture
  • Distributed data processing systems
  • Strong hands-on programming skills in Python, PySpark, Scala, and SQL.

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