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Provider Data Remote Jobs in Spokane, WA (NOW HIRING)

Data Engineer IV (Remote)

Spokane, WA ยท Remote

$115K - $139K/yr

ROI Agency is partnered with an established client to fill a remote Data Engineer IV position on a ... Mentor senior engineers, conduct design reviews, and provide technical leadership across teams to ...

Data Engineer IV (Remote)

Spokane, WA ยท Remote

$117K - $140K/yr

ROI Agency is partnered with an established client to fill a remote Data Engineer IV position on a ... Mentor senior engineers, conduct design reviews, and provide technical leadership across teams to ...

Remote Therapist

Spokane, WA ยท Remote

$76/hr

We provide a wellness and professional development stipend (up to $300 annually), case consultation ... Use data to drive effective treatment and adjust your approach based on client progress

We provide a wellness and professional development stipend (up to $300 annually), case consultation ... Use data to drive effective treatment and adjust your approach based on client progress

We provide a wellness and professional development stipend (up to $300 annually), case consultation ... Use data to drive effective treatment and adjust your approach based on client progress

We provide a wellness and professional development stipend (up to $300 annually), case consultation ... Use data to drive effective treatment and adjust your approach based on client progress

Review and assess AI responses to contract scenarios, providing expert feedback to improve model ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

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Provider Data Remote information

What is the difference between Provider Data Remote vs Provider Data Specialist?

AspectProvider Data RemoteProvider Data Specialist
CredentialsTypically requires healthcare data management certifications or relevant experienceOften requires similar certifications, such as medical coding or data management credentials
Work EnvironmentRemote, often independent or team-based in healthcare organizationsPrimarily office or healthcare facility-based, but can include remote options
Industry UsageCommonly used in healthcare, insurance, and medical data management

Provider Data Remote and Provider Data Specialist roles share similar credentials and industry usage, focusing on healthcare data management. The main difference lies in the work setting, with Provider Data Remote working primarily remotely, offering flexibility, while Provider Data Specialist roles may be more office-based. Both roles are essential for maintaining accurate provider information in healthcare systems.

What does a Provider Data Remote do?

A Provider Data Remote is responsible for managing and maintaining healthcare provider information, such as credentials, contact details, and contract status, within a healthcare organization's database. This role is typically performed remotely and involves verifying data accuracy, updating records, and ensuring compliance with regulatory requirements. Provider Data Remotes collaborate with providers, insurance companies, and internal teams to resolve discrepancies and support network operations. Strong attention to detail, data management skills, and familiarity with healthcare terminology are essential for success in this position.

What are some common challenges faced by Provider Data Remote professionals, and how can they be managed?

Provider Data Remote professionals often encounter challenges such as managing large volumes of complex provider information, ensuring data accuracy, and keeping up with frequent updates from multiple sources. Working remotely can also mean collaborating with cross-functional teams in different locations, which requires strong communication and organizational skills. To manage these challenges, it's helpful to use standardized data management tools, establish clear communication protocols with team members, and stay updated on industry regulations related to provider data.

What are the key skills and qualifications needed to thrive as a Provider Data Remote specialist, and why are they important?

To thrive as a Provider Data Remote specialist, you need strong attention to detail, data entry proficiency, knowledge of healthcare terminology, and typically an associate's or bachelor's degree in a related field. Familiarity with provider data management systems, Microsoft Excel, and claims processing software is commonly required, along with experience using databases like Facets or CAQH. Excellent organizational skills, problem-solving abilities, and clear communication help you stand out in this role. These skills ensure the accuracy and integrity of provider data, supporting efficient healthcare operations and compliance.

Data Engineer IV (Remote)

ROI Agency

Spokane, WA โ€ข Remote

$115K - $139K/yr

Full-time

This job post hasย expired 1 day ago.ย Applications are no longer accepted.


Job description

*Due to NERC regulations US Citizenship, Green Card Hold, or Permanent Residency is required for this role.*

ROI Agency is partnered with an established client to fill a remote Data Engineer IV position on a team we have successfully supported for a few years.

This is hands-on engineering position requiring the ability evaluate execution layer code.


Data Engineer IV

Position Summary

The Principal Data Engineer / Architect (Data Engineer IV) is a senior technical leader responsible for defining the enterprise-wide data architecture, platform strategy, and governance standards. This role shapes how data is collected, modeled, processed, secured, and consumed across all applications and business domains, ensuring the long-term scalability, reliability, and performance of the organizationโ€™s data ecosystem.

Principal Data Engineers drive large-scale modernization, lakehouse and warehouse architecture, MDM adoption, metadata automation, Delta Lake strategy, multi-cloud integrations, and end-to-end data platform evolution. Operating with full autonomy, this role engages with Directors, senior architects, and cross-functional leaders to guide decisions that impact enterprise systems, analytics, compliance, and technology investments.

This position is both strategic and hands-on when neededโ€”solving the hardest technical problems, creating reusable frameworks, and mentoring senior engineers to elevate overall data engineering maturity across the enterprise.

Essential Functions:

  • Own the long-term design and architecture of the enterprise data ecosystem, including ingestion, storage, modeling, lineage, governance, and analytics layers.
  • Design scalable lakehouse, Delta Lake, and distributed data architectures supporting advanced analytics, operational workflows, and integration across business domains.
  • Lead enterprise-wide modernization projects: warehouse migrations, domain modeling redesigns, governance uplift, streaming adoption, or cross-cloud data integrations.
  • Define and enforce standards for data modeling, lineage, metadata, MDM, quality, security, and compliance across all data teams.
  • Create reusable architectural patterns, frameworks, orchestrations, and platform components adopted across engineering groups.
  • Solve the most complex technical problems, including distributed system bottlenecks, data quality crises, lineage gaps, and multi-domain data reconciliation issues.
  • Guide cost optimization strategy for compute, storage, and orchestration workloads across the data platform.
  • Partner with enterprise architecture, analytics, InfoSec, product, and application engineering to ensure alignment with organizational strategy.ยท
  • Influence leadership decisions regarding data strategy, platform investments, tooling, and sprint/roadmap priorities.
  • Mentor senior engineers, conduct design reviews, and provide technical leadership across teams to raise the overall engineering bar.

Basic Qualifications:

  • Bachelorโ€™s degree in CS/IT/Data Science or equivalent experience (Masterโ€™s preferred).
  • 10+ years experience in data engineering, data architecture, or distributed systems engineering.
  • Proven track record designing and implementing enterprise-scale data platforms with Lakehouse/Delta architectures.
  • Expert-level proficiency with SQL, Spark, Python, Databricks, Delta Lake, Azure Data Factory, and distributed processing.
  • Deep understanding of data modeling (conceptual, logical, physical), governance frameworks, MDM, metadata catalogs, and lineage systems.
  • Experience leading multi-team engineering initiatives and influencing architectural decisions at the leadership level.
  • Strong grounding in security, compliance, data privacy, and regulatory data handling.

Requirements null