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Remote Data Modeler Jobs in Irvine, CA (NOW HIRING)

NextDeavor Inc.

Principal Data Architect

Irvine, CA · Remote

$126K - $214K/yr

Principal Data Architect Full-time Remote Exclusive confidential search -- details shared with ... This is a hands-on, remote role where you will both define standards and implement critical models ...

Corvel

Data Scientist II

Irvine, CA · On-site +1

$82K - $127K/yr

The role includes hands on model development, feature engineering, and integration into production ... This position is open to remote or hybrid. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: * Mine and ...

Corvel

Data Scientist II

Irvine, CA · On-site +1

The role includes hands on model development, feature engineering, and integration into production ... This position is open to remote or hybrid. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: * Mine and ...

IQVIA

Senior Data Team Lead (Remote)

Anaheim, CA · Remote

$86K - $217K/yr

... models. Apply now and have your resume considered for Senior Data Team Lead opportunities across ... This is a remote/WFH position with all necessary equipment provided. What You'll Do * Lead data ...

Corvel

Data Science Manager

Irvine, CA · Remote

This is a remote position. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: * Design, build, train, and deploy production-grade machine learning models, AI solutions and data products * Collaborate with ...

Tunabear

Sr. Peoplesoft HCM Developer

Riverside, CA · Remote

Contract length: through FY26 (June 30) + extension * 100% remote (must be available PST hours ... Strong understanding of PeopleSoft HCM data models , including: * Core HR Tables * Payroll Tables

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Remote Data Modeler information

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$11

$63

$89

How much do remote data modeler jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for remote data modeler in Irvine, CA is $63.02, according to ZipRecruiter salary data. Most workers in this role earn between $56.49 and $73.27 per hour, depending on experience, location, and employer.

What skills and qualifications are needed to thrive as a remote data modeler?

A Remote Data Modeler should possess strong skills in data modeling concepts, database design, and a background in computer science or a related field. Expertise in tools such as ER/Studio, SQL, and familiarity with cloud data platforms (e.g., AWS, Azure) and relevant certifications like CDMP are highly valued. Exceptional analytical thinking, communication, and self-management abilities set top performers apart, especially when collaborating with distributed teams. These skills enable the creation of accurate, scalable data models and ensure effective remote collaboration on complex data projects.

What does a remote data modeler do?

A typical day for a Remote Data Modeler involves collaborating with stakeholders to gather data requirements, designing and updating data models, and documenting structures for existing or new systems. You’ll spend significant time working with modeling tools, writing or reviewing database scripts, and participating in virtual meetings to ensure alignment with development teams and business analysts. Regular tasks include data mapping, troubleshooting modeling issues, and updating data dictionaries. The role requires balancing focus time for deep analysis with clear virtual communication to ensure projects progress smoothly.

What is a remote data modeler?

A Remote Data Modeler is responsible for designing, implementing, and optimizing data models that support business intelligence, analytics, and database management. They work with large datasets, ensuring data is structured efficiently for performance and scalability. This role often involves collaboration with data engineers, analysts, and business stakeholders to define data requirements. Since it's a remote position, strong communication and self-management skills are crucial for success.

What are the most commonly searched types of Data Modeler jobs in Irvine, CA? The most popular types of Data Modeler jobs in Irvine, CA are:
What are popular job titles related to Remote Data Modeler jobs in Irvine, CA? For Remote Data Modeler jobs in Irvine, CA, the most frequently searched job titles are:
What job categories do people searching Remote Data Modeler jobs in Irvine, CA look for? The top searched job categories for Remote Data Modeler jobs in Irvine, CA are:
What cities near Irvine, CA are hiring for Remote Data Modeler jobs? Cities near Irvine, CA with the most Remote Data Modeler job openings:
Remote Data Modeler jobs near you
Infographic showing various Remote Data Modeler job openings in Irvine, CA as of June 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 100% Remote job distribution, with an average salary of $131,086 per year, or $63 per hour.

Principal Data Architect

NextDeavor Inc.

Irvine, CA • Remote

$126K - $214K/yr

Contractor

Re-posted 10 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

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