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Modular Jobs in Turlock, CA (NOW HIRING)

PG&E Corporation

Data Scientist, Expert

Modesto, CA · Hybrid

Writes and documents reusable python functions and modular python code for data science. * Assesses business implications associated with modeling assumptions, inputs, methodologies, technical ...

PG&E Corporation

Data Scientist, Expert

Merced, CA · Hybrid

Writes and documents reusable python functions and modular python code for data science. * Assesses business implications associated with modeling assumptions, inputs, methodologies, technical ...

PG&E Corporation

Data Scientist, Expert

Newman, CA · Hybrid

Writes and documents reusable python functions and modular python code for data science. * Assesses business implications associated with modeling assumptions, inputs, methodologies, technical ...

G3

Property Maintenance Coordinator

Modesto, CA · On-site

... modular furniture, office furnishings, office equipment, etc. in cubicles and offices. • Responds to and addresses emergency situations that arise at the properties. These may include water leaks ...

City of Modesto, CA

Police Officer Trainee

Modesto, CA · On-site

$37.53 - $47.90/hr

... or Modular formats) by time of appointment. This classification is distinguished from the Police Officer by the performance of the more routine tasks and duties assigned to positions within the ...

PG&E Corporation

Data Scientist, Expert

Los Banos, CA · Hybrid

Writes and documents reusable python functions and modular python code for data science. * Assesses business implications associated with modeling assumptions, inputs, methodologies, technical ...

PG&E Corporation

Data Scientist, Expert

Oakdale, CA · Hybrid

Writes and documents reusable python functions and modular python code for data science. * Assesses business implications associated with modeling assumptions, inputs, methodologies, technical ...

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All JobsModular JobsModular Jobs in Turlock, CA

Modular information

See Turlock, CA salary details

$16

$30

$41

How much do modular jobs pay per hour?

As of Jul 17, 2026, the average hourly pay for modular in Turlock, CA is $30.96, according to ZipRecruiter salary data. Most workers in this role earn between $26.78 and $34.62 per hour, depending on experience, location, and employer.

What is the work of modular?

A modular worker is involved in assembling, installing, or maintaining modular components or systems, often in construction, manufacturing, or technology sectors. The role requires knowledge of specific tools, safety protocols, and sometimes certifications related to the industry. They work in environments where prefabricated units are assembled on-site or in factories for quick deployment.

What is the difference between Modular vs Electrical Technician?

AspectModularElectrical Technician
Required CredentialsTypically vocational training or certifications in modular construction or systemsTrade school diploma or electrical certifications (e.g., Journeyman license)
Work EnvironmentConstruction sites, manufacturing plants, modular assembly facilitiesIndustrial, commercial, or residential electrical settings
Industry UsageUsed in modular building manufacturing, prefabricationElectrical installation, maintenance, repair
Common Search/ComparisonModular vs Electrical Technician

The main difference between Modular and Electrical Technician roles lies in their focus and work environment. Modular workers specialize in prefabricated building components and systems, often working in manufacturing or construction sites. Electrical Technicians focus on electrical systems installation and maintenance across various industries. While both roles require technical skills, certifications differ, and their work environments and industry applications are distinct.

What jobs will be gone in the next 5 years?

For modular jobs, roles involving manual assembly or repetitive tasks are increasingly automated and may decline over the next five years. Skills in programming, robotics, and system integration are becoming more essential as automation expands across industries, potentially reducing demand for certain manual positions.

What jobs pay 500,000 a year in the US?

High-paying jobs that can reach or exceed $500,000 annually in the US include executive roles such as CEOs and CFOs, specialized medical professionals like neurosurgeons and anesthesiologists, and successful entrepreneurs or business owners. These positions typically require advanced education, extensive experience, and often involve high levels of responsibility and leadership.

What are the key skills and qualifications needed to thrive as a Modular Construction Specialist, and why are they important?

To thrive as a Modular Construction Specialist, you need a solid understanding of construction principles, project management, and modular building techniques, often supported by a construction-related degree or certification. Familiarity with CAD software, BIM systems, and modular fabrication tools is typically required. Strong problem-solving skills, teamwork, and effective communication distinguish top performers in this field. These skills ensure efficient project delivery, cost control, and high-quality modular structures in a rapidly evolving industry.

What are some common challenges faced by professionals working in modular construction roles?

Professionals in modular construction often encounter challenges such as coordinating logistics for transporting prefabricated modules to worksites, maintaining quality control during off-site manufacturing, and ensuring seamless integration with on-site construction teams. Timely communication and collaboration with architects, engineers, and contractors are essential to address design adjustments and meet project deadlines. Additionally, adapting to evolving building codes and standards for modular construction can require ongoing learning and flexibility.

What are modular jobs?

Modular jobs refer to roles involved in the design, construction, assembly, or management of modular structures or systems. These jobs can include positions in industries such as construction, manufacturing, and engineering, where prefabricated modules are built off-site and then transported for assembly at the final location. Modular job roles can vary from project managers and designers to assembly line workers and quality inspectors. The modular approach is valued for its efficiency, cost-effectiveness, and sustainability compared to traditional construction methods.
What are the most commonly searched types of Modular jobs in Turlock, CA? The most popular types of Modular jobs in Turlock, CA are:
What are popular job titles related to Modular jobs in Turlock, CA? For Modular jobs in Turlock, CA, the most frequently searched job titles are:
What job categories do people searching Modular jobs in Turlock, CA look for? The top searched job categories for Modular jobs in Turlock, CA are:
Modular jobs near you
Infographic showing various Modular job openings in Turlock, CA as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $64,392 per year, or $31 per hour.
Data Scientist, Expert

Data Scientist, Expert

PG&E Corporation

Modesto, CA • Hybrid

Full-time

Posted 10 days ago

Job description

Requisition ID # 173213 

Job Category: Information Technology 

Job Level: Individual Contributor

Business Unit: Energy Delivery

Work Type: Hybrid

Job Location: San Ramon; Alameda; Alta; American Canyon; Angels Camp; Antioch; Auberry; Auburn; Avenal; Avila Beach; Bakersfield; Balch Camp; Bay Point; Bear Valley; Belden; Bellota; Belmont; Benicia; Berkeley; Brentwood; Brisbane; Buellton; Burney; Buttonwillow; Calistoga; Campbell; Canyon Dam; Canyondam; Capitola; Caruthers; Chico; Clearlake; Clovis; Coalinga; Colusa; Concord; Concord; Corcoran; Cottonwood; Cupertino; Daly City; Danville; Davis; Dinuba; Downieville; Dublin; Emeryville; Eureka; Fairfield; Folsom; Fort Bragg; Fortuna; Fremont; French Camp; Fresno; Fresno; Fulton; Garberville; Geyserville; Gilroy; Goodyear; Grass Valley; Guerneville; Half Moon Bay; Hayward; Hinkley; Hollister; Holt; Huron; Jackson; Kerman; King City; Lakeport; Lemoore; Lincoln; Linden; Livermore; Lodi; Loomis; Los Banos; Lower Lake; Madera; Magalia; Manteca; Manton; Mariposa; Martell; Marysville; Maxwell; Menlo Park; Merced; Meridian; Millbrae; Milpitas; Modesto; Monterey; Montgomery Creek; Morgan Hill; Morro Bay; Moss Landing; Mountain View; Napa; Needles; Newark; Newman; Novato; Oakdale; Oakhurst; Oakland; Oakley; Olema; Orinda; Orland; Oroville; Palo Alto; Palo Cedro; Paradise; Parkwood; Paso Robles; Petaluma; Pioneer; Pismo Beach; Pittsburg; Placerville; Pleasant Hill; Pleasanton; Point Arena; Potter Valley; Quincy; Rancho Cordova; Red Bluff; Redding; Richmond; Ridgecrest; Rio Vista; Rocklin; Roseville; Round Mountain; Sacramento; Salida; Salinas; San Bruno; San Carlos; San Francisco; San Francisco; San Jose; San Luis Obispo; San Mateo; San Rafael; Sanger; Santa Cruz; Santa Maria; Santa Nella; Santa Rosa; Selma; Shaver Lake; Sonoma; Sonora; South San Francisco; Springville; Stockton; Storrie; Taft; Tracy; Turlock; Twain; Ukiah; Vacaville; Vallejo; Walnut Creek; Wasco; Watsonville; West Sacramento; Wheatland; Whitmore; Willits; Willow Creek; Willows; Windsor; Winters; Woodland; Yuba City

Department Overview

Applied Technology Services (ATS) has been providing technology-based, innovative, high-value services to the company for over 50 years. ATS is a multidisciplinary team of over 130 engineers, scientists, and technicians. The ATS vision is to be a forward-thinking, technological leader providing high-value solutions and services needed across the Company. ATS high value services also help proactively avoid future problems by specifying equipment, materials and methods that are best practices in the industry.

Position Summary

Designs, develops, and executes scripts, programs, models, algorithms, and processes, using structured and unstructured data from disparate sources and sizes, generating for defensible, valid, scalable, reproducible models (predictive or optimization) for problem solving and strategy development. Participates in internal and external communities of practice in data science/artificial intelligence/machine learning to advance knowledge in the field. Educates the non-technical community on advantages, risks, and maturity levels of data science solutions. 

This position is hybrid, working from your remote office and your assigned location based on business need. Regular presence is required in San Ramon, once every two weeks.

PG&E is providing the salary range that the company in good faith believes it might pay for this position at the time of the job posting. This compensation range is specific to the locality of the job.  The actual salary paid to an individual will be based on multiple factors, including, but not limited to, specific skills, education, licenses or certifications, experience, market value, geographic location, and internal equity.  Although we estimate the successful candidate hired into this role will be placed towards the middle or entry point of the range, the decision will be made on a case-by-case basis related to these factors.

Bay Area Minimum: $140,000

Bay Area Mid: $189,000
Bay Area Maximum: $238,000

California Minimum: $133,000

California Mid: $180,000

California Maximum:$226,000

This job is also eligible to participate in PG&E’s discretionary incentive compensation programs. 

Job Responsibilities

  • Researches and applies advanced knowledge of existing and emerging data science principles, theories, and techniques to inform business decisions.
  • Creates advanced data mining architectures / models / protocols, statistical reporting, and data analysis methodologies to identify trends in structured and unstructured data sets
  • Extracts, transforms, and loads data from dissimilar sources from across PG&E
  • Applies data science/ machine learning /artificial intelligence methods to develop defensible and reproducible predictive or optimization models that involve multiple facets and iterations in algorithm development. 
  • Writes and documents reusable python functions and modular python code for data science.
  • Assesses business implications associated with modeling assumptions, inputs, methodologies, technical implementation, analytic procedures and processes, and advanced data analysis.
  • Works with sponsor departments and company subject matter experts to understand application and potential of data science solutions that create value.
  • Presents findings and makes recommendations to senior management.
  • Act as peer reviewer of complex models 

Qualifications

Minimum:

  • Bachelor’s Degree in Data Science, Machine Learning, Computer Science, Physics, Econometrics or Economics, Engineering, Mathematics, Applied Sciences, Statistics, or equivalent field
  • 6 years in data science OR no experience, if possess Doctoral Degree or higher, as described above

Desired:

  • Doctorate Degree in Data Science, Machine Learning, or job-related discipline or equivalent experience
  • Relevant industry (electric or gas utility, renewable energy, analytics consulting, etc.) experience
  • Active participation in the external data science/artificial intelligence/machine learning community of practice, as demonstrated through volunteering in professional organizations for the advancement of the field, presentations in conferences or publications to disseminate data science knowledge and topics, or similar activities.
  • Knowledge of industry trends and current issues in job-related area of responsibility as demonstrated through peer reviewed journal publications, conference presentations, open source contributions or similar activities
  • Competency with commonly used data science and/or operations research programming languages, packages, and tools for building data science/machine learning models and algorithms  
  • Proficiency in explaining in breadth and depth technical concepts including but not limited to statistical inference, machine learning algorithms, software engineering, model deployment pipelines.
  • Mastery in clearly communicating complex technical details and insights to colleagues and stakeholders
  • Mastery of the mathematical and statistical fields that underpin data science, specifically focused in reliability and failure analysis
  • Demonstrated proficiency in enterprise data platforms and analytics tools, including Foundry, SAP, and Power BI, with the ability to integrate and analyze data across ERP systems and visualization environments.

Apply