ZipRecruiter

Log In

2

Music Data Analytics Remote Jobs in Spokane, WA (NOW HIRING)

ROI Agency

Data Engineer IV (Remote)

Spokane, WA · Remote

$115K - $139K/yr

ROI Agency is partnered with an established client to fill a remote Data Engineer IV position on a ... Partner with enterprise architecture, analytics, InfoSec, product, and application engineering to ...

ROI Agency

Data Engineer IV (Remote)

Spokane, WA · Remote

$117K - $140K/yr

ROI Agency is partnered with an established client to fill a remote Data Engineer IV position on a ... Partner with enterprise architecture, analytics, InfoSec, product, and application engineering to ...

Corporate Tools

Senior Data Engineer

Post Falls, ID · On-site +1

$150K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

This is a remote position, but if you're near one of our local offices, you're welcome to come ... As a Senior Data Engineer at Corporate Tools, you will work closely with our Software and Analyst ...

micro1 AI

Cheminformatics Specialist - Remote

Spokane, WA · On-site +1

$90 - $120/hr

Analyze and annotate complex biological data sets, focusing on applications relevant to medicinal chemistry. * Provide feedback and domain-specific insights to improve AI models in computational ...

DataAnnotation

Treasury Analyst - AI Trainer

Spokane, WA · Remote

$50 - $100/hr

Enjoy the flexibility of remote work and the freedom to set your own schedule. This is an ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

Corporate Tools

SEO Analyst

Post Falls, ID · On-site +1

$85K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Overview As an SEO Analyst, your role is to make meaning out of messy data and help shape smarter ... This is a remote position. Our main office is in Spokane, WA, and we have satellite offices in ...

next page

Showing results 1-20

All JobsMusic Data Analytics JobsMusic Data Analytics Remote JobsMusic Data Analytics Remote Jobs in Spokane, WA

Music Data Analytics Remote information

See Spokane, WA salary details

$24

$55

$95

How much do music data analytics remote jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for music data analytics remote in Spokane, WA is $55.36, according to ZipRecruiter salary data. Most workers in this role earn between $44.47 and $62.69 per hour, depending on experience, location, and employer.

What is a music data analytics remote job?

A Music Data Analytics Remote job involves analyzing data related to music consumption, trends, and performance from a remote location. Professionals in this role collect and interpret data from streaming platforms, social media, and sales to help artists, labels, and music services make informed decisions. They use statistical tools and data visualization techniques to uncover patterns and insights in music listening behavior. This job typically requires strong analytical skills, knowledge of data tools, and a passion for music and technology.

What are the key skills and qualifications needed to thrive as a music data analytics professional working remotely?

To excel as a Music Data Analytics professional in a remote setting, you need strong analytical skills, proficiency in statistics, and a background in data science or music business. Familiarity with tools like SQL, Python, R, Tableau, and music industry databases is typically required, along with experience using analytics platforms. Excellent communication, problem-solving abilities, and self-motivation are crucial soft skills for translating data insights and collaborating virtually with stakeholders. These competencies are vital for extracting actionable insights from music data, driving business decisions, and thriving in a distributed work environment.

What are some common challenges faced by remote music data analytics professionals, and how can they be addressed?

Remote Music Data Analytics professionals often encounter challenges such as collaborating across different time zones, accessing large datasets securely, and staying aligned with fast-paced changes in the music industry. To address these, it's important to establish clear communication channels with team members, utilize cloud-based data management tools, and participate in regular virtual meetings to stay updated. Developing strong self-management skills and leveraging collaborative platforms can also help ensure smooth project workflows and timely delivery of analytical insights.

What is the difference between Music Data Analytics Remote vs Music Data Analyst?

AspectMusic Data Analytics RemoteMusic Data Analyst
CredentialsBachelor's in Data Science, Music Industry, or related field; experience with analytics toolsBachelor's in Data Science, Statistics, or Music Business; proficiency in data analysis software
Work EnvironmentRemote, flexible hours, often freelance or contract-basedTypically office or remote, full-time or part-time roles in music companies or agencies
Industry UsageUsed by music streaming services, record labels, and analytics firmsCommonly employed within music labels, streaming platforms, and market research firms

Music Data Analytics Remote involves analyzing music industry data remotely, often on a freelance basis, focusing on insights for streaming and marketing. Music Data Analyst roles are more traditional, full-time positions within companies, requiring similar skills but often with more structured work environments. Both roles require strong analytical skills and industry knowledge, but differ mainly in work setting and employment type.

How to become a music data analyst?

To become a music data analyst, you typically need a bachelor's degree in data science, statistics, or a related field, along with strong analytical skills and proficiency in tools like Excel, SQL, and data visualization software. Experience with music industry data, programming languages such as Python or R, and understanding of music metrics can enhance your qualifications. Gaining relevant internships or projects can also help build practical expertise in analyzing music trends and consumer behavior.

Is data analytics a good career for remote work?

Data analytics roles, including those in music data analytics, are well-suited for remote work due to the reliance on digital tools, data analysis software, and cloud-based platforms. These jobs often require strong analytical skills, proficiency in programming languages like Python or R, and the ability to communicate insights virtually, making remote work feasible and common in the field.

What are the most commonly searched types of Music Data Analytics jobs in Spokane, WA?

The most popular types of Music Data Analytics jobs in Spokane, WA are:

What are popular job titles related to Music Data Analytics Remote jobs in Spokane, WA?

For Music Data Analytics Remote jobs in Spokane, WA, the most frequently searched job titles are:

What job categories do people searching Music Data Analytics Remote jobs in Spokane, WA look for?

The top searched job categories for Music Data Analytics Remote jobs in Spokane, WA are:

What cities near Spokane, WA are hiring for Music Data Analytics Remote jobs?

Cities near Spokane, WA with the most Music Data Analytics Remote job openings:

Music Data Analytics Remote jobs near you
Infographic showing various Music Data Analytics Remote job openings in Spokane, WA as of June 2026, with employment types broken down into 91% Full Time, 1% Part Time, 1% Temporary, 6% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $115,140 per year, or $55.4 per hour.

Data Engineer IV (Remote)

ROI Agency

Spokane, WA • Remote

$115K - $139K/yr

Full-time

This job post has expired today. 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 organization’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 needed—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.·
  • 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:

  • Bachelor’s degree in CS/IT/Data Science or equivalent experience (Master’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

Apply