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Workforce Jobs in California (NOW HIRING)

GRID Alternatives

Workforce Job Developer

Sacramento, CA · On-site

$55K - $75K/yr

The Workforce Job Developer plays a critical role in advancing GRID Alternatives' workforce development initiatives by building strong relationships with employers, industry partners, and community ...

GRID ALTERNATIVES

Workforce Job Developer

Oakland, CA · On-site

$55K - $75K/yr

The Workforce Job Developer plays a critical role in advancing GRID Alternatives' workforce development initiatives by building strong relationships with employers, industry partners, and community ...

Crusoe

Workforce Intelligence Engineer

San Francisco, CA · On-site

$145 - $175/hr

Crusoe's People Science & Workforce Intelligence team builds the systems, models, and tooling that power how the company understands and acts on its workforce. This role is the technical engine ...

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See California salary details

$24.7K

$75.4K

$159.9K

How much do workforce jobs pay per year?

As of Aug 9, 2026, the average yearly pay for workforce in California is $75,416.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,900.00 and $90,800.00 per year, depending on experience, location, and employer.

What are different types of jobs in workforce management?

Workforce management jobs are usually a part of the human resources department and focus on predicting the future needs of the company. In this field, you may create a plan to ensure each department has the necessary personnel, determine whether or not the company needs to train people before they can provide the needed services, and support the overall development of the business. Workforce managers frequently collect and use data to understand employee efficiency and how many personnel are required to ensure the company continues functioning. Most workforce management roles also determine how many extra employees the company needs. It is not acceptable for the entire business to shut down because one person is out sick, so having a backup or plan for problems with every position in the company is part of this job.

What are the key skills and qualifications needed to thrive in a workforce management role, and why are they important?

To thrive in a Workforce Management role, you need strong analytical skills, knowledge of labor laws, and experience with staffing strategies, often supported by a degree in business, HR, or a related field. Familiarity with workforce management software such as Kronos, ADP, or SAP SuccessFactors, and relevant certifications like SHRM-CP or PHR are common requirements. Excellent communication, problem-solving, and organizational skills help professionals effectively balance operational needs and employee satisfaction. These abilities are crucial for optimizing staffing efficiency, compliance, and overall organizational productivity.

What is a workforce?

A workforce is the total number of people who are employed or available for employment in a particular organization, industry, or economy. It includes all individuals who are working or actively seeking work. Workforce management involves planning, hiring, training, and retaining employees to meet organizational goals. Understanding the workforce is crucial for ensuring that a business has the right number of employees with the necessary skills to operate efficiently.

What are some common challenges faced by workforce analysts, and how can new hires effectively address them?

Workforce analysts often encounter challenges such as balancing shifting business demands with accurate staffing forecasts, handling large sets of workforce data, and communicating insights to stakeholders who may not have a data background. New hires can effectively address these by developing strong analytical skills, becoming proficient in workforce management tools, and building relationships with operations and HR teams to better understand their needs. Regularly collaborating with team members and seeking feedback can also help new workforce analysts refine their approach and deliver more actionable recommendations.

What is the difference between Workforce vs Technician?

AspectWorkforceTechnician
CredentialsVaries; often includes general training or certificationsSpecific technical certifications or licenses
Work EnvironmentVarious settings, including factories, offices, or fieldworkLaboratories, manufacturing plants, or technical service areas
Employer & Industry UsageUsed broadly across industries to describe general staffUsed specifically for skilled technical roles
Search & Comparison IntentUnderstanding general roles and employment optionsSeeking technical skills and certifications

Workforce refers to a broad group of employees with varying skills, often including general labor or support roles. Technicians are specialized workers with technical training and certifications, working in more technical environments. While both are essential in many industries, the Workforce encompasses a wider range of roles, whereas Technicians focus on technical expertise and skills.

More about Workforce jobs
What are the most commonly searched types of Workforce jobs in California? The most popular types of Workforce jobs in California are:
What cities in California are hiring for Workforce jobs? Cities in California with the most Workforce job openings:
Workforce jobs near you
Infographic showing various Workforce job openings in California as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 18% Part Time, 2% Temporary, and 6% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $75,416 per year, or $36.3 per hour.

Workforce Data Engineer

University of California San Francisco

San Francisco, CA • On-site

Full-time

Re-posted 2 days ago

University Of California San Francisco rating

7.8

Company rating: 7.8 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

229th of 617 rated colleges and universities

Job description


Certain terms and conditions of employment for this position, including the rate of pay, benefits, etc., are currently subject to negotiation with the appropriate union.
As part of the People Analytics team, the Workforce Data Engineer develops governed data models that support workforce analytics and other priorities established by UCSF leadership and the Chief Human Resources Officer. The incumbent integrates data from multiple enterprise systems, develops dimensional data models, and maintains data pipelines that support reporting, dashboards, and AI-enabled analytics platforms. Using established Kimball modeling standards and engineering practices, the engineer creates reliable, reusable analytic datasets while ensuring data quality, consistency, and adherence to governance requirements.
The role supports a broad portfolio of People Analytics domains, including workforce demographics, workforce lifecycle metrics, human resources operational analytics, occupational health, learning and compliance, and other workforce-related initiatives.
Working closely with data architects, analysts, and business stakeholders, the incumbent contributes to analytic solution design, validates outputs, and translates workforce requirements into technical solutions. The position requires strong technical skills, sound judgment, and the ability to independently execute complex assignments while escalating novel architectural, governance, or enterprise-wide decisions to senior team members.
Department Overview
The mission of the Enterprise Information and Analytics (EIA) department is to advance UCSF's institutional priorities by enhancing access to and the use of data and analytics, including appropriate data platforms and data governance, in a manner that meets the unique needs across the education, research, and care mission areas. The department achieves its goals by working with clinical, research, education, and business partners to organize, integrate, govern, and transform UCSF's data assets into actionable insight and information.
People Analytics owns enterprise-wide assets for UCSF as a whole, used for both operational and analytical purposes, as well as departmental and business assets to drive business insights and decisions.
Responsibilities
of time
Essential Function (Yes/No)
Key Responsibilities
(To be completed by Supervisor)
25
Business Requirements and Workforce Analytics Partnership
  • Partner with workforce analysts, HR stakeholders, and business leaders to understand workforce reporting, analytics, and operational requirements.
  • Collaborate with analysts to translate workforce metrics, business rules, and reporting requirements into technical specifications and sustainable data solutions.
  • Evaluate source system data and identify required data elements to support workforce analytics initiatives.
  • Support development, testing, and validation of new workforce metrics and analytic products.
  • Contribute to analytic solution design by providing technical guidance on data structures, integration approaches, and implementation considerations.
  • Document business and technical requirements, data definitions, assumptions, and transformation logic.

35
Data Engineering & Data Modeling
  • Design, develop, maintain, and optimize dimensional data models supporting workforce analytics, operational reporting, and strategic decision-making.
  • Build and maintain ETL processes, stored procedures, and SSIS pipelines that support workforce data integration and analytics.
  • Leverage UCSF's established Kimball data architecture to develop governed and reusable workforce data assets.
  • Integrate data originating from Oracle HCM Cloud, and other systems into analytic data models.
  • Develop and maintain technical documentation for data models, pipelines, and data transformations.
  • Collaborate with data architects and senior engineers to ensure solutions align with enterprise architecture, governance, and engineering standards.

25
Data Quality & Workforce Data Stewardship
  • Investigate, troubleshoot, and resolve data quality issues affecting workforce reporting, dashboards, and downstream analytic products.
  • Support efforts to standardize, reconcile, and improve workforce data across multiple enterprise systems and business processes.
  • Validate analytic datasets, metrics, and reporting outputs to ensure accuracy, consistency, and alignment with business requirements.
  • Implement data quality controls, monitoring processes, and validation procedures to support reliable analytics.
  • Participate in testing, deployment, and ongoing maintenance of workforce analytics data assets.
  • Contribute to the development of new workforce metrics and analytic capabilities as organizational priorities evolve.

15
Operations & Production Support
  • Monitor, troubleshoot, and resolve issues affecting workforce data pipelines, models, dashboards, and reporting solutions.
  • Perform break-fix support and root cause analysis for production data issues.
  • Support deployment activities, system upgrades, and enhancements to workforce analytics platforms.
  • Maintain technical documentation and operational procedures.
  • Participate in continuous improvement efforts that improve reliability, maintainability, and scalability of People Analytics data products.
  • Perform other duties as assigned.

100%
(To update total %, enter the amount of time in whole numbers (without the % symbol - e.g., 15, 20) then highlight the total sum (e.g., 1%) at the bottom of the column and press F9. The total sum should add up to 100%.)
Qualifications
REQUIRED QUALIFICATIONS
  • Bachelor's degree in a related area and/or equivalent experience/training
  • Minimum 5 years of experience in data analytics or data management
  • Minimum 3 years of experience performing advanced data analysis using SQL and/or analytic programming languages (e.g., R, Python, Stata, SPSS) T-SQL in Microsoft SQL Management Studio preferred.
  • 2+ years of experience developing or integrating with APIs for data ingestion (REST/JSON), including secure authentication (OAuth2/API keys) and operational support (logging/monitoring/error handling).
  • Experience writing SQL for data extraction, transformation, and analysis. Hands-on experience developing and supporting SSIS pipelines for analytic data preparation
  • Experience developing or maintaining ETL processes.
  • Experience integrating data from multiple source systems.
  • Experience validating data quality and troubleshooting data issues.
  • Ability to communicate effectively with both technical and non-technical audiences.
  • Strong analytical, problem-solving, and organizational skills.
  • Ability to work independently while collaborating effectively within a team.
  • Strong organizational skills

PREFERRED QUALIFICATIONS
  • Knowledge of Kimball dimensional modeling concepts and data warehousing principles.
  • Experience integrating data from diverse sources and formats, including delimited text files (CSV/TSV/PSV), fixed-width files, JSON, XML, YAML, Parquet/Avro/ORC, and Excel (XLS/XLSX), as well as relational databases via ODBC/JDBC.

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