ZipRecruiter

Log In

2

Remote Data Processing Jobs in California (NOW HIRING)

ChatGPT Jobs

Business Systems Data Engineer

El Segundo, CA · Remote

$120.80K - $145.10K/yr

Solana Beach, CA Remote Salary: $120.80K - $145.10K/yr (Estimated pay) Type: Full-time Benefits ... Essential Functions Design, develop, and maintain scalable data pipelines and ETL/ELT processes.

Homesight Inc

Oversee and lead the data org; leading with a hands-on approach to building processes & playbooks, recruiting your team, setting goals, strategy alignment, and managing expectations with internal ...

Thunkable

Sr. Data Analyst

San Francisco, CA · Remote

$101.30K - $127.80K/yr

Amplitude, Google Ads, Meta Ads, payment processors, CRM tools). - Experience with event tracking ... Global remote flexibility - The opportunity to directly influence the future of no-code and AI ...

Thunkable

Sr. Data Analyst

San Francisco, CA · Remote

$90K - $130K/yr

Amplitude, Google Ads, Meta Ads, payment processors, CRM tools). - Experience with event tracking ... Global remote flexibility - The opportunity to directly influence the future of no-code and AI ...

next page

Showing results 1-20

People also search for

All JobsData Processing JobsRemote Data Processing JobsRemote Data Processing Jobs in California

Remote Data Processing information

See California salary details

$12

$20

$34

How much do remote data processing jobs pay per hour?

As of May 30, 2026, the average hourly pay for remote data processing in California is $20.00, according to ZipRecruiter salary data. Most workers in this role earn between $15.91 and $22.07 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Data Processing specialist, and why are they important?

To thrive as a Remote Data Processing specialist, you need strong analytical skills, attention to detail, and proficiency in data entry and management, often supported by a relevant degree or experience in data-related roles. Familiarity with databases, spreadsheet software like Microsoft Excel or Google Sheets, and sometimes data processing tools such as SQL or Python is typically required. Excellent time management, self-motivation, and clear communication are essential soft skills for remote collaboration and meeting deadlines. These abilities ensure data accuracy, efficient processing, and effective teamwork in a remote work environment.

What are some common challenges faced by professionals in remote data processing roles, and how can they be overcome?

Remote data processing professionals often encounter challenges such as ensuring data accuracy, managing large datasets, and maintaining clear communication with distributed teams. To overcome these, it's important to establish strong data validation protocols, use reliable tools for data management, and schedule regular virtual meetings to stay aligned with team objectives. Additionally, setting clear expectations and using collaborative platforms can help mitigate misunderstandings and improve workflow efficiency.

What is remote data processing?

Remote data processing refers to the collection, analysis, and management of data from a location outside of a traditional office setting, often using cloud-based tools and remote access technologies. Professionals in this role handle data entry, validation, organization, and sometimes basic analytics, ensuring data integrity and accessibility for organizations. This job typically requires strong computer skills, attention to detail, and the ability to work independently while maintaining data security and privacy protocols.

What is the difference between Remote Data Processing vs Remote Data Analysis?

AspectRemote Data ProcessingRemote Data Analysis
Primary RoleHandling data input, cleaning, and preparationInterpreting data to generate insights and reports
Skills & CertificationsData management, SQL, basic scriptingStatistical analysis, data visualization, tools like Excel, R, Python
Work EnvironmentData warehouses, cloud platforms, databasesAnalysis tools, dashboards, reporting software
Industry UsageData management teams, IT departmentsBusiness intelligence, marketing, finance

Remote Data Processing focuses on preparing and managing raw data, while Remote Data Analysis involves interpreting that data to inform decisions. Both roles often require similar technical skills but differ in their core responsibilities and end goals.

What are the most commonly searched types of Data Processing jobs in California? The most popular types of Data Processing jobs in California are:
What are popular job titles related to Remote Data Processing jobs in California? For Remote Data Processing jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Data Processing jobs in California look for? The top searched job categories for Remote Data Processing jobs in California are:
What cities in California are hiring for Remote Data Processing jobs? Cities in California with the most Remote Data Processing job openings:
Remote Data Processing jobs near you

Cloud Data Engineer - AI & Analytics Transformation - AIRLHV

NavitasPartners

Los Angeles, CA • On-site, Remote

$40/hr

Full-time

Posted 3 days ago

Job description

Cloud Data Engineer – AI & Analytics Transformation

Location: US / Canada (Remote/Hybrid)
Type: Contract / Full-Time

Overview:

Join a high-impact team delivering enterprise data and AI transformation initiatives. This role emphasizes building next-generation data ecosystems and enabling intelligent decision-making through advanced analytics.

Key Responsibilities:

  • Design and implement modern data architectures using cloud platforms
  • Build and optimize ETL/ELT pipelines for large-scale datasets
  • Work closely with cross-functional teams to deliver business insights

Required Skills:

  • Expertise in data engineering tools such as Snowflake, Databricks, or BigQuery
  • Strong cloud experience (AWS, Azure, GCP)
  • Experience in distributed data processing and pipeline orchestration

Nice to Have:

  • Exposure to ML engineering and MLOps practices
  • Experience with GenAI or Agentic AI solutions
  • Understanding of enterprise AI governance frameworks

For more details reach at resumes@navitassols.com.