ZipRecruiter

Log In

1

Data Ethics Jobs in California (NOW HIRING)

LiveRamp

Senior Software Engineer

San Francisco, CA · On-site

$144K - $190K/yr

A groundbreaking leader in consumer privacy, data ethics, and foundational identity, LiveRamp is setting the new standard for building a connected customer view with unmatched clarity and context ...

Gilead

Privacy Counsel

Foster City, CA

This role is a key contributor to the global Privacy & Data Ethics (PDE) team, within the Office of Ethics and Compliance and is a trusted advisor to business and legal stakeholders on privacy ...

Gilead Sciences, Inc.

Privacy Counsel

Foster City, CA · On-site

This role is a key contributor to the global Privacy & Data Ethics (PDE) team, within the Office of Ethics and Compliance and is a trusted advisor to business and legal stakeholders on privacy ...

LiveRamp

Senior Software Engineer

San Francisco, CA

$144K - $190K/yr

A groundbreaking leader in consumer privacy, data ethics, and foundational identity, LiveRamp is setting the new standard for building a connected customer view with unmatched clarity and context ...

Salesforce, Inc.

Consumption Lead

San Francisco, CA · Remote

Data Ethics and Privacy: Commitment to data ethics and privacy, ensuring customer solutions adhere to relevant regulations and best practices in data security and privacy. * Product Development:

next page

Showing results 1-20

All JobsData Ethics JobsData Ethics Jobs in California

Data Ethics information

See California salary details

$45.4K

$162.9K

$240.3K

How much do data ethics jobs pay per year?

As of Aug 19, 2026, the average yearly pay for data ethics in California is $162,857.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,800.00 and $167,800.00 per year, depending on experience, location, and employer.

What is a data ethics?

A Data Ethics job involves ensuring that data is collected, stored, and used in a responsible, fair, and transparent manner. Professionals in this role develop guidelines, assess risks, and implement ethical policies to address issues like bias, privacy, and data misuse. They collaborate with data scientists, legal teams, and policymakers to align data practices with ethical and legal standards.

What are the key skills and qualifications needed to thrive in data ethics?

A strong background in data governance, privacy law, and ethical frameworks is critical for success in data ethics roles, often supported by degrees in data science, law, or related fields. Familiarity with data protection regulations (like GDPR or CCPA), risk assessment tools, and certifications such as CIPP or CDPSE is highly valued. Excellent communication, critical thinking, and cross-functional collaboration skills help professionals effectively advocate for ethical data practices and influence key stakeholders. These competencies ensure organizations responsibly manage data, maintain compliance, and build public trust.

What are some common challenges faced by professionals in data ethics?

Professionals in data ethics often encounter challenges such as balancing business objectives with privacy concerns, navigating evolving regulations, and identifying potential ethical risks in new technologies. They regularly collaborate with legal, compliance, IT, and product development teams to implement policies and ensure ethical data use throughout the organization. Additionally, the rapidly changing landscape of data-related laws and emerging technologies requires continuous learning and adaptability. Overcoming these challenges is essential for fostering responsible data practices and protecting both organizational and public interests.

What does a data ethicist do?

A data ethicist evaluates ethical issues related to data collection, use, and management. They develop guidelines to ensure responsible data practices, often working with data scientists and engineers to address privacy, bias, and fairness concerns in data-driven systems.

What are the most commonly searched types of Data Ethics jobs in California?

The most popular types of Data Ethics jobs in California are:

What are popular job titles related to Data Ethics jobs in California?

For Data Ethics jobs in California, the most frequently searched job titles are:

What job categories do people searching Data Ethics jobs in California look for?

The top searched job categories for Data Ethics jobs in California are:

What cities in California are hiring for Data Ethics jobs?

Cities in California with the most Data Ethics job openings:

Data Ethics jobs near you
Infographic showing various Data Ethics job openings in California as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $162,857 per year, or $78.3 per hour.

IT - Technology Architect | data science | Machine Learning

Spruce Infotech

Sunnyvale, CA • On-site

Full-time

Re-posted 4 days ago

Job description

Client: Apple
Do you have a pre-identified candidate? New sourcing? Existing Subcon?- New sourcing
Max Hourly Pay Rate to the candidate?: XXX/Hr
Do you have a preferred interview schedule?: Yes
Would you require the candidates to meet you for an in-person interview?: No
Is Skype/WebEx interview, OK?: Yes
Work Location with ZIP: Sunnyvale-CA-94085
Is remote work an option?: No
If remote work, please indicate how many days are required to be in the office and remote: 3 days in a week required to be in the office
Chance to be perm?: Yes
Performance Expectations:
Technical Hiring Criteria (Must Haves)
• Top 3 Required skills: Machine Learning, AI,Python
• Years of experience in each of the must-have skills: 7+ Years
• Any Certifications required: No
Any additional information you would like to share about the project specs/nature of work: NA
Job description:
- Strong programming experience in Python
- Solid understanding of Machine Learning algorithms and Deep Learning frameworks (PyTorch / TensorFlow)
- Hands-on experience with Generative AI / LLMs (OpenAI, Azure OpenAI, open-source models)
- Experience with Prompt Engineering, RAG, LangChain / Semantic Kernel / similar frameworks
- Data processing using Pandas, NumPy, SQL, PySpark
- Experience building and deploying models in cloud environments (Azure / AWS / GCP)
- Experience with MLOps (model versioning, CI/CD, monitoring)
- Exposure to vector databases and semantic search
- Knowledge of responsible AI, data ethics, and bias mitigation
- Experience in client-facing delivery environments
- Familiarity with API development and microservices architecture

Apply