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Remote Data Processing Jobs in Hercules, CA (NOW HIRING)

Tunabear

Data Engineer - AWS/Oracle

Oakland, CA · Remote

$117K - $140K/yr

Remote, CA hours (8am-5pm PST availability) Contract length: 6 months + likely extension Data ... Develop and maintain AWS Lambda functions for data processing, automation, and event-driven ...

Rad AI

Data Engineer

San Francisco, CA · On-site +1

$145K - $200K/yr

... processing technologies like Spark. * Define and extend our internal standards for style ... For roles listed as United States - Remote: * This role is open to candidates located anywhere in ...

Doximity

Senior Data Scientist

San Francisco, CA · On-site +1

$13K - $190K/yr

Remote within the United States About Doximity Doximity is the leading clinical AI company with the ... Our company core values * Our recruiting process * Our product development cycle * Our ...

Doximity

Senior Data Scientist

San Francisco, CA · On-site +1

$13K - $190K/yr

Remote within the United States About Doximity Doximity is the leading clinical AI company with the ... Our company core values * Our recruiting process * Our product development cycle * Our ...

YO AI Labs

Data Privacy Analyst - Remote

San Francisco, CA · Remote

$31 - $60/hr

Data Privacy Analyst Job Type: Contractor Location: Remote Job Overview We are seeking experienced ... Experience with document review, quality assurance, eDiscovery, or compliance processes. * Strong ...

Astrix Inc

AWS Cloud Engineer (Remote)

San Francisco, CA · On-site +1

$40 - $45/hr

Remote (U.S.) Duration: 12-Month Contract (High Potential for Extension) Schedule: Full-Time (40 ... Support high-performance data processing pipelines and cloud-based applications. * Follow software ...

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All JobsData Processing JobsRemote Data Processing JobsRemote Data Processing Jobs in Hercules, CA

Remote Data Processing information

See Hercules, CA salary details

$13

$22

$38

How much do remote data processing jobs pay per hour?

As of Sep 15, 2026, the average hourly pay for remote data processing in Hercules, CA is $22.38, according to ZipRecruiter salary data. Most workers in this role earn between $17.79 and $24.66 per hour, depending on experience, location, and employer.

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 are the key skills and qualifications needed to thrive as a remote data processing specialist?

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 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 Hercules, CA?

The most popular types of Data Processing jobs in Hercules, CA are:

What job categories do people searching Remote Data Processing jobs in Hercules, CA look for?

The top searched job categories for Remote Data Processing jobs in Hercules, CA are:

What cities near Hercules, CA are hiring for Remote Data Processing jobs?

Cities near Hercules, CA with the most Remote Data Processing job openings:

Infographic showing various Remote Data Processing job openings in Hercules, CA as of August 2026, with employment types broken down into 56% Full Time, and 44% Contract. Highlights an 100% Remote job distribution, with an average salary of $46,542 per year, or $22.4 per hour.

Data Engineer - AWS/Oracle

Oakland, CA • Remote

Tunabear
IT Services • 51 - 200 employees
Learn more about Tunabearexternal

$117K - $140K/yr

Contractor

Posted 11 days ago

Job description

Contract role:  1099, C2C
Location:  Remote, CA hours (8am-5pm PST availability)
Contract length:  6 months + likely extension
 

Data Engineer Contractor – AWS / Oracle
Position Overview

We are seeking a hands-on Data Engineer Contractor to support our Reporting Instance (RI) and Self-Managed Hosting (SMH) project initiatives. The engineer will be responsible for developing and supporting scalable data pipelines, ETL processes, data validation, batch processing, and AWS-based data solutions. The ideal candidate has strong experience with AWS Glue, AWS Lambda, Oracle SQL/PL/SQL, and troubleshooting complex data environments.

Key Responsibilities
  • Design, develop, and support ETL/ELT data pipelines using AWS Glue.
  • Develop and maintain AWS Lambda functions for data processing, automation, and event-driven workflows.
  • Build and support data flows for downstream reporting and analytics systems.
  • Work with Oracle SQL and PL/SQL to develop, troubleshoot, and optimize data processing workloads.
  • Validate end-to-end data flows and ensure data quality, integrity, and consistency.
  • Monitor and troubleshoot batch jobs, pipeline failures, data issues, and operational problems.
  • Support AWS environment configuration, deployment, and operational readiness in collaboration with Infrastructure teams.
  • Perform SQL and pipeline performance tuning, including query optimization, execution-plan analysis, indexing, materialized views, partitioning, and parallel processing where appropriate.
  • Optimize ETL processes, batch jobs, and data refresh cycles for reliability and scalability.
  • Create technical documentation and participate in knowledge transfer.
Required Qualifications
  • Hands-on experience with AWS Glue and AWS Lambda.
  • Strong experience developing and supporting data pipelines and ETL processes.
  • Strong Oracle SQL and PL/SQL experience.
  • Experience working with large-scale or high-volume data environments.
  • Experience with data validation, troubleshooting, and batch processing.
  • Understanding of AWS cloud services and data integration patterns.
  • Strong problem-solving and communication skills.
  • Ability to work independently in a fast-paced operational environment.
Preferred Qualifications
  • Experience with Oracle performance tuning and execution-plan analysis.
  • Experience with materialized views, indexing, partitioning, and parallel processing.
  • Familiarity with batch scheduling and orchestration tools.
  • Experience working with Infrastructure and cross-functional teams.