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Mapping Validation Jobs in Riverside, CA (NOW HIRING)

Western Growers

EDI Developer

Irvine, CA · On-site

$70K - $92K/yr

... validation of transaction sets. * Support and troubleshoot issues related to data mappings, transformations, and delivery failures. * Participate in cross-functional meetings to discuss system ...

Cannon Corp.

Survey Technician IV - Party Chief

Irvine, CA · On-site

$30 - $45/hr

Reviews as-built plans, maps, records of survey, right-of-way drawings, deeds, legal descriptions ... Valid California Driver's License, clean driving record, and proof of valid auto insurance required.

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All JobsMapping Validation JobsMapping Validation Jobs in Riverside, CA

Mapping Validation information

See Riverside, CA salary details

$23

$54

$81

How much do mapping validation jobs pay per hour?

As of Jul 2, 2026, the average hourly pay for mapping validation in Riverside, CA is $54.25, according to ZipRecruiter salary data. Most workers in this role earn between $41.11 and $65.96 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Mapping Validation Specialist, and why are they important?

To thrive as a Mapping Validation Specialist, you need strong analytical skills, spatial awareness, and attention to detail, often supported by a degree in geography, GIS, or a related field. Familiarity with geographic information systems (GIS) software such as ArcGIS or QGIS, and experience with data validation tools and mapping standards, are typically required. Strong problem-solving abilities, communication skills, and the capacity to work independently make someone stand out in this position. These skills ensure the accuracy and reliability of mapping data, which is critical for decision-making in industries like urban planning, logistics, and navigation.

What skills do you need to be a validation engineer?

A validation engineer needs strong technical skills in engineering principles, attention to detail, and knowledge of validation processes and standards such as GMP or ISO. Proficiency with data analysis, documentation, and validation tools is essential, along with good communication skills to collaborate with cross-functional teams. Certifications like ASQ or specific industry training can enhance qualifications.

What are mapping jobs called?

Mapping jobs are often referred to as GIS (Geographic Information Systems) specialists, cartographers, or geospatial analysts. These roles involve creating, analyzing, and validating geographic data using GIS software and tools, often requiring knowledge of spatial data management and map design.

What career makes maps?

A career in mapping validation involves reviewing and ensuring the accuracy of geographic data used in map creation. Professionals in this field often work with GIS (Geographic Information Systems) tools and may require knowledge of cartography, spatial analysis, and data quality standards. These roles are common in industries like urban planning, transportation, and environmental management.

What is the difference between Mapping Validation vs Data Analyst?

AspectMapping ValidationData Analyst
Required CredentialsTypically certifications in GIS, data validation, or related fieldsOften requires degrees in statistics, data science, or related areas
Work EnvironmentPrimarily in GIS, mapping, or data validation teams within tech, government, or logisticsIn various industries including finance, marketing, healthcare, working with data analysis tools
Employer & Industry UsageUsed in GIS, mapping services, logistics, and infrastructure projectsWidely used across industries for data-driven decision making

Mapping Validation focuses on verifying the accuracy and integrity of geographic or spatial data, ensuring maps and spatial datasets are correct. Data Analysts interpret, process, and analyze data to support business decisions. While both roles handle data, Mapping Validation is specialized in spatial accuracy, whereas Data Analysts work with broader datasets across various domains.

What is mapping validation?

Mapping validation is the process of verifying that data mappings between two or more systems, databases, or data formats are correct and consistent. This ensures that information is transferred accurately and meets the required business or technical specifications. Mapping validation is crucial during data migration, integration, or transformation projects to prevent data loss, corruption, or misinterpretation. It typically involves checking field correspondences, data types, and transformation logic to ensure they align with project requirements.

What are some common challenges faced in a Mapping Validation role, and how can they be overcome?

Professionals in Mapping Validation often encounter challenges such as ensuring data accuracy, managing large datasets, and resolving discrepancies between various map sources. Collaborating closely with data engineers, GIS specialists, and project managers is essential to validate information efficiently. Staying updated with the latest mapping technologies and quality control standards can help overcome these challenges, as can developing strong attention to detail and problem-solving skills. Regular training and open communication within the validation team also contribute to maintaining high-quality mapping outputs.

Are validation engineers in demand?

Validation engineers are in demand across industries such as manufacturing, pharmaceuticals, and technology, as they ensure products meet quality and regulatory standards. The role often requires knowledge of testing procedures, validation protocols, and relevant software tools, with job growth driven by increasing regulatory requirements and quality assurance needs.
What job categories do people searching Mapping Validation jobs in Riverside, CA look for? The top searched job categories for Mapping Validation jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Mapping Validation jobs? Cities near Riverside, CA with the most Mapping Validation job openings:
Mapping Validation jobs near you
Data Engineer II

Data Engineer II

Inland Empire Health Plan

Rancho Cucamonga, CA • On-site

$104K - $137K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 15 days ago

Job description

Overview
What you can expect!
Find joy in serving others with IEHP! We welcome you to join us in "healing and inspiring the human spirit" and to pivot from a "job" opportunity to an authentic experience!
The Data Engineer II assists in the implementation of methods to improve data reliability and quality. This role is responsible for combining raw information from different sources to create consistent and machine-readable formats. The Data Engineer II must also develop and test architectures that enable data extraction and transformation for predictive or prescriptive modeling. The Data Engineer II will focus on data accessibility, which will enable the organization to utilize data for performance evaluation and optimization. The data Engineer II is also responsible for managing the entire back-end development life cycle for the company's enterprise data warehouse. In this role the incumbent will handle tasks associated with the implementation of ETL procedures, building warehouse databases, database performance management, and dimensional modeling and design of the table structures.
Commitment to Quality: The IEHP Team is committed to incorporate IEHP's Quality Program goals including, but not limited to, HEDIS, CAHPS, and NCQA Accreditation.
Additional Benefits
Perks
IEHP is not only committed to healing and inspiring the human spirit of our Members, but we also aim to match our team members with the same energy by providing prime benefits and more.
  • Competitive salary.
  • Hybrid schedule.
  • State of the art fitness center on-site.
  • Medical Insurance with Dental and Vision.
  • Life, short-term, and long-term disability options
  • Career advancement opportunities and professional development.
  • Wellness programs that promote a healthy work-life balance.
  • Flexible Spending Account - Health Care/Childcare
  • CalPERS retirement
  • 457(b) option with a contribution match
  • Paid life insurance for employees
  • Pet care insurance

Key Responsibilities
  1. Design and develop data warehouse Extraction, Transformation and Loading (ETL) solutions using Microsoft SQL Server Integration Services (SSIS), Azure Data Factory, Synapse Analytics, Az Data Bricks, PySpark ETL.
  2. Develop and implement data collection processes in conjunction with the data warehouse. Source data from legacy systems supporting a centralized data warehouse and reporting platform.
  3. Develop technical solutions to meet the requirements for Data Warehouse, BI & Analytics. Work with Informaticists and Analysts to translate analytic requirements into technical solutions.
  4. Collaborate and contribute to data integration strategies and visions. Create and maintain optimal data pipeline architectures based on micro services based on platform and application requirements.
  5. Work closely with the Data Engineering team, BI & Analytics team, Data Warehouse Architect, and Data Systems Architect to design data and analytics solutions to increase the usability, completeness, and accuracy of enterprise data.
  6. Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
  7. Analyze user requirements and translate user requirements into database requirements and implement them in database code.
  8. Provide detailed analysis of data issues, data mapping, and the process for automation and enhancement of data quality. Assemble large, complex data sets that meet functional / non-functional business requirements.
  9. Identify, design, and implement process improvements: automating manual pipeline processes, optimizing data ingestion and consumption, re-designing infrastructure for greater scalability, micro services, and others as applicable.
  10. Create, maintain, and optimize SQL queries and routines. Analyze potential data quality issues to determine the root cause and create effective solutions.
  11. Develop, adopt, and enforce Data Warehouse and ETL standards and architecture. Monitor and support ETL processes ensuring integrity and proper integration of all data sources.
  12. Facilitate problem management and communication among data architects, managers, informaticists and analysts.
  13. Perform development activities such as source to target mapping validations, identify, document and execute unit test cases/scripts, peer and lead code reviews per code review checklist and document test and review results.
  14. Provide ongoing proactive technical support for ETL and data warehouse system to ensure business continuity.
  15. Perform any other duties as required to ensure Health Plan operations and department business needs are successful.

Qualifications
Education & Requirements
  • Four (4) years of relevant work experience. Experience and knowledge in logical, rational, dimensional, and physical data modeling. Background in database systems along with a strong knowledge of SQL. Experience with Orchestration tools, Azure DevOps, and CI/CD. Intermediate experience with the following tools and technologies:
    • Azure Data Catalogue / Purview
    • Azure Cloud
    • Databricks
    • Power BI Dataflows
    • Power Query
    • Azure Cosmos
    • Azure Monitor
    • PowerShell
    • Python
  • Development experience using PySpark, Spark, Hadoop, Kubernetes, and RDMIS is highly desired
  • Bachelor's degree from an accredited institution required
    • Master's degree from an accredited institution preferred
    • Azure Data Engineering Certification is preferred

Key Qualifications
  • Multi-server environment knowledge such as linked servers, data replication, backup/restore with MS SQL Server 2008+
  • Knowledge of applicable data privacy practices and laws
  • Highly skilled in developing and optimizing T-SQL (DDL, DML, DCL) queries, stored procedures, functions, and views for various applications that involve numerous database tables and complex business logic
  • Good written and oral communication skills
  • Strong technical documentation skills
  • Good interpersonal skills
  • Highly self-motivated and directed
  • Keen attention to detail
  • Proven analytical and problem-solving abilities
  • Ability to effectively prioritize and execute tasks in a high-pressure environment

Start your journey towards a thriving future with IEHP and apply TODAY!
Work Model Location
This position is on a hybrid work schedule. (Monday & Friday - remote, Tuesday - Thursday onsite in Rancho Cucamonga, CA.)
Pay Range
USD $104,041.60 - USD $137,841.60 /Yr.

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