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Data Loader Jobs in California (NOW HIRING)

Data stage ETL Developer

Lake Forest, CA · On-site

$54 - $70.75/hr

... Data warehouse in the area of ETL design, implementation and deployment. • Provide end-to-end solution for both analytics ETL process and point-to-point application integration. • Ability to ...

Data stage ETL Developer

Lake Forest, CA · On-site

$54 - $70.75/hr

Minimum of 6 years of work experience using Data Stage for multi-terabyte Data warehouse in the area of ETL design, implementation and deployment. Provide end-to-end solution for both analytics ETL ...

... Data Loader, Reports, and Dashboards. • Hands on experience with Apex programming and Visualforce page coding and development. • Strong knowledge of Salesforce platform with focus on Sales ...

Salesforce Developer

Palo Alto, CA · On-site

$65.25 - $86.50/hr

Systems Analysis, Salesforce.com Experience developing integration processes using Salesforce.com's Web Services API and third-party integration tools like Apex Data Loader etc. Proficiency in SOAP ...

SFDC/Salesforce tester

Palo Alto, CA · On-site

$65.25 - $86.50/hr

Good knowledge on Salesforce Service, PRM and Sales cloud , SFA & Data Migration testing. 2. Good knowledge on Organization Administration, Customization, Data loader, Reports, Dash Boards, Workflow ...

Experienced with atleast 2 end-to-end SFDC implementations with engrained knowledge in Force.com, APEX, Visual force, Data loader etc. Techno functional candidate with relevant experience in ...

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Showing results 1-20

Data Loader information

See California salary details

$10

$17

$24

How much do data loader jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for data loader in California is $17.27, according to ZipRecruiter salary data. Most workers in this role earn between $15.19 and $18.51 per hour, depending on experience, location, and employer.

What is a data loader?

Data Loaders are tools or software components used to efficiently import, export, and transfer large sets of data between systems, databases, or applications. In many organizations, Data Loaders automate the process of moving data, reducing manual effort and errors. They are commonly used for data migration, system integration, and regular data updates. Data Loaders may provide features such as error handling, scheduling, and transformation of data to ensure accuracy and consistency during the loading process.

What are the key skills and qualifications needed to thrive as a data loader, and why are they important?

To thrive as a Data Loader, you need strong attention to detail, proficiency in data entry, and a basic understanding of database systems, often supported by a high school diploma or equivalent. Experience with data loading tools, Excel, ETL (Extract, Transform, Load) software, and familiarity with platforms like SQL databases are typically required. Excellent organizational skills, problem-solving abilities, and effective communication help ensure data accuracy and efficiency in team environments. These skills are crucial for maintaining data integrity and supporting seamless data operations within organizations.

What are some common challenges data loaders face when managing large datasets, and how can they be addressed?

Data Loaders often encounter challenges such as data inconsistencies, system performance bottlenecks, and handling large volumes of records within tight deadlines. These issues can be addressed by developing a strong understanding of ETL (Extract, Transform, Load) processes, validating data before loading, and utilizing automation tools to streamline repetitive tasks. Close collaboration with database administrators and IT teams is also essential to ensure data integrity and optimize loading processes.

What is the difference between Data Loader vs Data Analyst?

AspectData LoaderData Analyst
Primary RoleImporting, exporting, and managing data within databases or systemsAnalyzing data to generate insights and reports
Skills & CertificationsDatabase management, SQL, data handling toolsData analysis, SQL, Excel, visualization tools
Work EnvironmentData management systems, enterprise softwareBusiness environments, analytics platforms
Industry UsageIT, data management, CRM systemsBusiness intelligence, marketing, finance

While Data Loaders focus on data transfer and system management, Data Analysts interpret data to support decision-making. Both roles require SQL knowledge, but Data Analysts typically need stronger analytical and visualization skills. Understanding these differences helps in choosing the right career path or job focus.

Infographic showing various Data Loader job openings in California as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $35,927 per year, or $17.3 per hour.

Oracle HCM Data Conversion Lead

3B Staffing LLC

San Francisco, CA • On-site

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Hi,

Hope you are doing well!

This is Aditya from Jconnect INC. Below is the requirement with my client. Please let me know if you are available for this role.

Role: Oracle HCM Data Conversion Lead

Location: Bay Area, CA

Job Type: Contract

Job Description:

We are seeking an experienced Oracle HCM Data Conversion Cycle Lead to oversee the data migration workstream in Oracle HCM Cloud implementations. This role will be responsible for leading end-to-end data conversion efforts, ensuring accurate extraction, transformation, and loading (ETL) of employee, organizational, payroll, and historical HR data into Oracle HCM Cloud from legacy systems. The ideal candidate will have deep experience in data conversion strategy, mapping, validation, reconciliation, and collaboration across cross-functional teams.

Required skill and experience:

  • Must have 5+ year experience, hands-on experience in Oracle HCM Cloud implementations, with at least 3 years in a data conversion or data migration lead role.
  • Lead the data conversion lifecycle for Oracle HCM Cloud implementations across all key phases: planning, extraction, transformation, validation, and load (ETL).
  • Define and execute data conversion strategy including data governance, cutover planning, and migration sequencing.
  • Collaborate with functional leads, data owners, and technical teams to gather requirements and establish data mapping rules between legacy systems and Oracle HCM.
  • Manage development of data conversion programs, scripts, and automation to extract and transform data according to Oracle HCM Cloud specifications.
  • Coordinate mock conversions, trial loads, and final cutover activities to ensure successful go-live.
  • Perform data quality checks, audits, and reconciliations to ensure completeness and accuracy of migrated data.
  • Lead issue triage and resolution related to data load errors, validation failures, and transformation logic.
  • Ensure compliance with data security and privacy policies during all phases of data handling.
  • Provide clear documentation, conversion logs, data dictionaries, and reconciliation reports.
  • Support test cycles (System Integration Testing, UAT) and provide data-related defect resolution.
  • Work with Oracle and third-party partners to troubleshoot and resolve data conversion issues.
  • Strong understanding of Oracle HCM Cloud data structures and functional modules (Core HR, Payroll, Benefits, Talent, Absence, etc.).
  • Proficient in SQL, Excel, and ETL tools used for data transformation and reconciliation.
  • Experience working with Oracle HDL (HCM Data Loader), HSDL, and Spreadsheet Loader.
  • Deep understanding of data mapping, data validation, and reconciliation techniques.
  • Experience with legacy HRIS systems (e.g., Workday) is a plus.
  • Strong project management and cross-functional collaboration skills.

Preferred qualifications:

  • Bachelor's degree or the equivalent combination of education plus relevant experience.

Please send me your updated resume ASAP with below details:

Full Legal Name:

Current Location:

Willing to Relocate:-

E-mail:

Cell:

Availability:

Are you still in Project:

Work Status:

LinkedIn profile ID:-

Best Regards,

Aditya Srivastava
(IT Recruiter)

Jconnect Infotech Inc.
168 Barclay Center Ste. 347
Cherry Hill, NJ 08034
Phone: 856-569-1603 | Email: aditya.s@jconnectinc.com |

[We are an E-Verify and Equal Employment Opportunity Employer with adherence to EEO policy]