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hr data Salary in california

Based on 45 active job postings in california  ·  Updated 2026

ℹ️ Salary ranges are not available for all listings. Browse the 45 open positions below to explore compensation details directly.

✨ AI Compensation Insight SALARY INSIGHTS

Generating real-time market insights and estimated salary range for hr data in california...

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Open hr data Jobs in california 45

HR Data and Systems Coordinator at Ultimate Staffing Services in Fountain Valley, California
Disabledperson, Inc Fountain Valley, California
$62400 / per year Full Time
HR Data & Reporting Coordinator
Travel + Leisure Co. Sacramento, California
$54080 / per year Full Time
Workday HR Data Entry Specialist - Growth Path
Vaco Los Angeles, California
$47840 / per year Full Time
HR Data Entry Specialist
Vaco Los Angeles, California
$47840 / per year Full Time
Senior HR Data & Reports Analyst — Oracle HCM Expert
Acord (association For Cooperative Operations Research And Development) Los Angeles, California
Full Time
HR Data Analytics & Systems Specialist
Genesis Healthcare Sacramento, California
Full Time
Hr Data Engineer
Sumeru Solutions San Jose, California
Full Time
Senior HR Data & Systems Analyst
County of San Diego San Diego, California
Full Time
People Analytics Data Engineer: Build HR Data Infra
Bee Talent Solutions San Jose, California
Full Time
HR Data Integrity Analyst (Contract)
Antramo Sunnyvale, California
Full Time
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hr data Salary FAQ

What is the average hr data salary in california?
Compensation for hr data positions in california varies by employer, experience level, and specific skill set. Browse the job listings above for detailed pay information.
How do I negotiate my hr data salary?
Research comparable roles in your area, document your accomplishments, and arrive at negotiations with data. Use total compensation (base + bonus + equity + benefits) as your benchmark, not just base pay.
What factors affect hr data compensation in california?
Key factors include years of experience, technical certifications, company size (startup vs. enterprise), industry (tech vs. finance vs. healthcare), and whether the role is remote-first or on-site in a high cost-of-living metro.