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Remote Data Entry Coding Jobs in Riverside, CA (NOW HIRING)

Principal Data Architect

Irvine, CA · Remote

$126K - $214K/yr

Principal Data Architect Full-time Remote Exclusive confidential search -- details shared with ... Write PySpark, SQL, and Delta Lake code; build reference implementations, prototype patterns ...

Virtual Assistant

San Bernardino, CA · Remote

$21.75 - $29.25/hr

... data entry and file management - Communicate with clients and team members effectively and ... Fully remote position - Flexible work hours - Opportunities for growth and advancement ...

Posted today

This is a remote position. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: * Design, build, train, and ... Ability to write, review, and optimize Python and SQL code * Deep understanding of Large Language ...

Dispatcher

San Bernardino, CA · On-site +1

$15 - $22/hr

Excellent typing and data entry skills * Microsoft Excel required ( intermediate level ... Ability to work well under pressure This is a remote position. Compensation: $15.00 - $22.00 per ...

New Homes Service Manager

Irvine, CA · On-site +1

$98K - $117K/yr

... data analysis for process improvement feedback and insight. This position will be based out of one ... Remote work may be considered for exceptional cases. RESPONSIBILITIES: * Establish procedures ...

Clinical Research Associate

Irvine, CA · Remote

$120K - $135K/yr

Perform remote monitoring activities such as source data verification (SDV) and data entry checks. * Assist with monitoring safety reporting, adverse events (AEs), and serious adverse events (SAEs)

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Remote Data Entry Coding information

See Riverside, CA salary details

$11

$20

$29

How much do remote data entry coding jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for remote data entry coding in Riverside, CA is $20.32, according to ZipRecruiter salary data. Most workers in this role earn between $17.07 and $22.84 per hour, depending on experience, location, and employer.

What is the difference between Remote Data Entry Coding vs Remote Medical Coding?

AspectRemote Data Entry CodingRemote Medical Coding
Required CredentialsBasic data entry skills, sometimes certification in data managementMedical coding certification (e.g., CPC, CCS)
Work EnvironmentHome or office, computer-basedHome or office, computer-based, often in healthcare settings
Industry UsageVarious industries including healthcare, finance, retailPrimarily healthcare industry
Search & Comparison IntentFocus on data entry tasks, less specializedFocus on medical coding, healthcare documentation

Remote Data Entry Coding involves basic data entry tasks across various industries, requiring minimal certifications. Remote Medical Coding is specialized for healthcare, requiring medical coding certifications. While both roles are remote and computer-based, medical coding demands industry-specific knowledge and credentials, making it more specialized than general data entry coding.

What is remote data entry coding?

Remote data entry coding involves entering, updating, and managing data in digital systems from a location outside a traditional office environment. This job typically requires accurately inputting information, such as codes, numbers, or text, into databases or software platforms. Employees often work from home and may handle sensitive data, making attention to detail and confidentiality important. Common industries hiring for these roles include healthcare, finance, and e-commerce. Remote data entry coding jobs usually require basic computer skills, familiarity with relevant software, and reliable internet access.

What are the most common challenges faced in a remote data entry coding role and how can they be managed?

One of the main challenges in a remote data entry coding position is maintaining high accuracy and attention to detail while working independently. Distractions at home and repetitive tasks can sometimes lead to errors or decreased productivity. Setting up a dedicated, quiet workspace and following a structured daily routine can help minimize mistakes. Additionally, staying connected with team members via regular check-ins and using collaboration tools ensures data consistency and timely communication of any issues.

What are the key skills and qualifications needed to thrive as a remote data entry coding specialist?

To thrive as a Remote Data Entry Coding Specialist, you need strong attention to detail, fast and accurate typing skills, and a solid understanding of data management procedures, often supported by a high school diploma or equivalent. Familiarity with data entry software, spreadsheets (such as Microsoft Excel or Google Sheets), and sometimes basic coding or database management systems is typically required. Excellent organizational skills, self-motivation, and effective time management are crucial soft skills for remote work success. These competencies ensure error-free data processing, maintain data integrity, and support efficient workflow in a remote environment.
What are popular job titles related to Remote Data Entry Coding jobs in Riverside, CA? For Remote Data Entry Coding jobs in Riverside, CA, the most frequently searched job titles are:
What cities near Riverside, CA are hiring for Remote Data Entry Coding jobs? Cities near Riverside, CA with the most Remote Data Entry Coding job openings:
Infographic showing various Remote Data Entry Coding job openings in Riverside, CA as of July 2026, with employment types broken down into 88% Full Time, 9% Part Time, 1% Temporary, and 2% Contract. Highlights an 78% Physical, 4% Hybrid, and 18% Remote job distribution, with an average salary of $42,257 per year, or $20.3 per hour.

Principal Data Architect

NextDeavor Inc.

Irvine, CA • Remote

$126K - $214K/yr

Contractor

Re-posted 9 days ago


Job description

Principal Data Architect
Full-time
Remote
Exclusive confidential search — details shared with qualified applicants.
 
Become a Key Player as a Principal Data Architect

You will design and build the enterprise data architecture that enables analytics, operations, and customer-facing data products for the organization. You will partner with product, engineering, analytics, ML, finance, risk, and customer-facing teams to translate needs into durable data designs. This is a hands-on, remote role where you will both define standards and implement critical models and reference implementations.

Here's How You'll Make an Impact on the Team
  • Define the enterprise data architecture across conceptual, logical, and physical models for analytical and operational platforms.
  • Design and maintain a meta-model capturing entities, relationships, business definitions, ownership, lineage, sensitivity classifications, and SLAs; integrate it with tooling.
  • Architect and drive lakehouse strategy (medallion bronze/silver/gold Delta Lake patterns), including partitioning, clustering, schema evolution, SCDs, and reproducibility.
  • Write PySpark, SQL, and Delta Lake code; build reference implementations, prototype patterns, review pull requests, and personally model critical domains.
  • Set patterns for ingestion via enterprise integration platforms and Databricks pipelines, including CDC, batch, streaming, and API-based sourcing.
  • Partner with governance, security, and compliance to operationalize cataloging, lineage, classification, masking, and access controls (e.g., Unity Catalog, IDMC).
  • Establish and standardize data modeling practices, naming conventions, and review processes; coach engineers on dimensional modeling and Data Vault approaches.
  • Identify tooling and capability gaps, propose investments, and drive multi-quarter initiatives to improve how the organization uses data.
Here's What You'll Need to Be Successful in This Role
  • 12–15+ years of progressive experience in data engineering, data warehousing, and data architecture, with several recent years at the architect level.
  • Demonstrated experience as a Data Architect at a SaaS company in FinTech or financial services software.
  • Deep, hands-on expertise with Databricks and PySpark on Azure, including Delta Lake, Unity Catalog, structured streaming, and performance tuning at scale.
  • Production experience with Informatica Data Management Cloud (IDMC) or comparable enterprise integration platforms.
  • Proven track record designing and shipping meta-models and end-to-end data models (conceptual, logical, physical) to production.
  • Strong command of dimensional modeling (Kimball), Data Vault 2.0, and modern lakehouse patterns; ability to choose the right approach per use case.
  • Expert SQL skills and strong proficiency in Python/PySpark; comfortable writing production code.
  • Experience implementing data governance, lineage, and metadata management programs.
  • Working knowledge of FinTech-relevant regulatory and compliance considerations (e.g., GLBA, SOC 2, PCI, NIST, state lending regulations).
  • Excellent written and verbal communication skills; able to explain complex data concepts to engineers, executives, customers, and auditors.
Here's What Else Might Help You Out
  • Prior experience designing data architectures for multi-tenant SaaS platforms with customer-facing analytics or embedded reporting.
  • Experience supporting loan origination, deposit account opening, or other consumer lending workflows and related data domains (applicants, applications, decisions, funding, servicing, credit data, fraud, KYC/AML).
  • Experience building feature stores or curated data products serving ML/AI workloads and BI consumers.
  • Familiarity with Azure data services (ADLS Gen2, Azure Data Factory, Event Hubs, Synapse, Purview) in conjunction with Databricks.
  • Experience with dbt, Great Expectations, or other modern data quality and transformation tooling on Databricks.
  • Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or related field, or equivalent experience.
Pay Range

$126K to 214K/year

Ready to Make Your Mark?

This role may fill quickly. Submit your resume to be considered.

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