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Per Diem Remote Rn Data Abstractor Jobs in Long Beach, CA

NextDeavor Inc.

Principal Data Architect

Irvine, CA · Remote

$126K - $214K/yr

Principal Data Architect Full-time Remote Exclusive confidential search -- details shared with ... right approach per use case. * Expert SQL skills and strong proficiency in Python/PySpark ...

Prodege LLC

Principal Data Engineer

El Segundo, CA · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

... registered users that has delivered $2B+ in lifetime rewards, operating at real engineering scale with 400TB total data footprint, 100TB Iceberg lake and growing, 50M raw events per day, 500M records ...

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All JobsPer Diem Rn Data Abstractor JobsPer Diem Remote Rn Data Abstractor JobsPer Diem Remote Rn Data Abstractor Jobs in Long Beach, CA

Per Diem Remote Rn Data Abstractor information

See Long Beach, CA salary details

$7

$44

$75

How much do per diem remote rn data abstractor jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for per diem remote rn data abstractor in Long Beach, CA is $44.42, according to ZipRecruiter salary data. Most workers in this role earn between $33.12 and $52.60 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a per diem remote RN data abstractor?

To thrive as a Per Diem Remote RN Data Abstractor, you need an active RN license, strong clinical knowledge, and experience in medical record review or data abstraction. Familiarity with electronic health record (EHR) systems, data abstraction tools, and relevant certifications such as Certified Clinical Data Manager (CCDM) are often required. Exceptional attention to detail, time management, and independent communication skills distinguish top performers in this role. These skills ensure accurate data collection, compliance with healthcare standards, and effective remote collaboration, which are vital for supporting quality improvement and research initiatives.

What is a per diem remote RN data abstractor?

A Per Diem Remote RN Data Abstractor is a registered nurse who works on an as-needed (per diem) basis, typically from home, to review and extract clinical information from medical records. This role supports quality improvement, research, or regulatory reporting by accurately gathering and coding specific data points. Per diem positions offer flexible scheduling, making them ideal for nurses seeking work-life balance or supplemental income. The job requires strong clinical knowledge, attention to detail, and proficiency with electronic health records and data management systems.

What are some common challenges faced by a per diem remote RN data abstractor, and how can these be managed effectively?

Per Diem Remote RN Data Abstractors often encounter challenges such as adapting to varying project requirements, managing fluctuating workloads, and maintaining accuracy while working independently. To manage these effectively, it is important to stay organized, familiarize yourself quickly with new data abstraction protocols, and communicate proactively with project managers and team members. Building strong time-management skills and seeking ongoing education about data systems and abstraction standards can also help you adapt smoothly to different assignments and maintain high-quality work.

What are popular job titles related to Per Diem Remote Rn Data Abstractor jobs in Long Beach, CA?

For Per Diem Remote Rn Data Abstractor jobs in Long Beach, CA, the most frequently searched job titles are:

What job categories do people searching Per Diem Remote Rn Data Abstractor jobs in Long Beach, CA look for?

The top searched job categories for Per Diem Remote Rn Data Abstractor jobs in Long Beach, CA are:

What cities near Long Beach, CA are hiring for Per Diem Remote Rn Data Abstractor jobs?

Cities near Long Beach, CA with the most Per Diem Remote Rn Data Abstractor job openings:

Per Diem Remote Rn Data Abstractor jobs near you
Infographic showing various Per Diem Remote Rn Data Abstractor job openings in Long Beach, CA as of August 2026, with employment types broken down into 39% Full Time, 38% Part Time, and 23% Contract. Highlights an 100% Remote job distribution, with an average salary of $92,391 per year, or $44.4 per hour.

Principal Data Architect

NextDeavor Inc.

Irvine, CA • Remote

$126K - $214K/yr

Contractor

Re-posted 13 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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