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Remote Data Optimization Jobs in Seattle, WA (NOW HIRING)

Data Governance & Quality Consultant Seattle, WA / Remote We are seeking a Data Governance ... Snowflake: Architecture optimization, secure data sharing, and complex SQL development.

Graph Database Architect

Bellevue, WA ยท Remote

$65.25 - $84/hr

Remote Duration: Long term contract About the Role: We are seeking an experienced Graph Database ... Strong understanding of data modeling, indexing, and query optimization techniques. * Experience in ...

Remote RevOps Architect for Growth & GTM

Seattle, WA ยท Remote

$71.75 - $94.50/hr

A growing remote startup is seeking a Director of Revenue Operations to build the RevOps function ... This pivotal role involves optimizing systems and data across sales, marketing, and customer ...

RevOps Analyst (Remote)

Seattle, WA ยท Remote

$100K - $130K/yr

Remote Reports to: CFO About the Role We're looking for a systems-minded RevOps Analyst to serve as ... Drive adoption of data hygiene practices cross-functionally Process Optimization & Standardization

Conversion Rate Optimization: * Identify areas of the user journey with conversion bottlenecks and ... Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and ...

Conversion Rate Optimization: * Identify areas of the user journey with conversion bottlenecks and ... Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and ...

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Remote Data Optimization information

See Seattle, WA salary details

$18

$64

$92

How much do remote data optimization jobs pay per hour?

As of May 30, 2026, the average hourly pay for remote data optimization in Seattle, WA is $64.65, according to ZipRecruiter salary data. Most workers in this role earn between $53.08 and $76.59 per hour, depending on experience, location, and employer.

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

To excel as a Remote Data Optimization Specialist, you need a solid background in data analysis, strong proficiency in statistics, and experience with optimization techniques, typically supported by a degree in data science, mathematics, or a related field. Familiarity with data visualization tools (like Tableau or Power BI), programming languages (such as Python or R), and database systems is commonly required. Strong problem-solving abilities, attention to detail, and effective communication skills set top performers apart in this role. These competencies are vital for translating complex data into actionable insights and driving efficiency improvements from a remote environment.

What are some common challenges faced by professionals in remote data optimization roles, and how can they be addressed?

Remote data optimization professionals often encounter challenges such as coordinating with distributed teams, ensuring data accuracy across different systems, and managing time effectively without in-person supervision. To address these, it's important to establish clear communication channels, use collaborative tools for data sharing and project tracking, and set regular check-ins with team members. Additionally, staying updated on best practices and automation tools can help streamline workflows and enhance data quality, making remote work more efficient and productive.

What is a Remote Data Optimization specialist?

A Remote Data Optimization specialist is a professional who works remotely to analyze, refine, and improve data systems and processes for organizations. Their main goal is to enhance the efficiency, accuracy, and usability of data, often by cleaning datasets, streamlining data flows, and implementing best practices for data management. They may use various tools and techniques to ensure data integrity and improve how data is stored, accessed, and utilized. These specialists often collaborate with data analysts, engineers, and business teams to support data-driven decision-making.

What is the difference between Remote Data Optimization vs Remote Data Analyst?

AspectRemote Data OptimizationRemote Data Analyst
Primary FocusImproving data storage, retrieval, and processing efficiencyAnalyzing data to identify trends and generate reports
Required SkillsData management, database tuning, scriptingData analysis, visualization, statistical skills
CertificationsDatabase certifications, data management credentialsData analysis certifications, SQL proficiency
Work EnvironmentTechnical teams, IT departments, data warehousesBusiness units, marketing, finance teams

Remote Data Optimization specialists focus on enhancing data systems' performance, while Remote Data Analysts interpret data to support decision-making. Both roles require strong technical skills, but their core responsibilities differ significantly, making them distinct career paths within data management and analysis.

What are the most commonly searched types of Data Optimization jobs in Seattle, WA? The most popular types of Data Optimization jobs in Seattle, WA are:
What are popular job titles related to Remote Data Optimization jobs in Seattle, WA? For Remote Data Optimization jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Remote Data Optimization jobs in Seattle, WA look for? The top searched job categories for Remote Data Optimization jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Remote Data Optimization jobs? Cities near Seattle, WA with the most Remote Data Optimization job openings:
Remote Quality & Risk Data Analyst

Remote Quality & Risk Data Analyst

Insight Global Healthcare

Seattle, WA โ€ข Remote

$55 - $58.62/hr

Contractor

Medical, Dental, Vision

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Duration:ย 6 month contract with potential conversion to full timeย 

Location:ย Fully Remote (8am-5pm PST)ย 

Compensation: $55 - $58.62/hr


Description:

We are seeking a Quality & Risk Data Analyst who is comfortable working in a remote setting. This role serves as the primary analyst responsible for productionโ€level quality and risk data delivery. The analyst is expected to work independently, manage recurring deadlines, and ensure data accuracy across multiple systems. Typical job responsibilities include but are not limited to:ย 

  • Log into SQL environments to run, debug, optimize, and maintain complex queries that extract and transform healthcare dataย 
  • Manage weekly and monthly production data loads, including Cozeva and related quality/risk file deliveriesย 
  • Reconcile multiple incoming data feeds by performing rowโ€level and aggregate validation checks after scheduled loadsย 
  • Identify, troubleshoot, and resolve data discrepancies by tracing issues across tables, schemas, and upstream ETL processes, coordinating with development teams as neededย 
  • Build and maintain reproducible SQL logic that implements business rules for HEDIS and claimsโ€based quality metricsย 
  • Produce, publish, and verify outbound reports and data files, including uploads to external vendor or portal systems, ensuring postโ€delivery accuracyย 
  • Create and maintain clear technical documentation and selfโ€service runbooks for data processes, validation steps, and change controlย 
  • Participate in peer reviews of SQL logic and versionโ€controlled changesย 
  • Partner with quality, risk, and business stakeholders to translate metric definitions into testable logic, scope adโ€hoc requests, and clearly communicate data findingsย 
  • Perform adโ€hoc analyses to investigate trends, root causes, and metric variances, delivering concise, actionable insights to business audiencesย 

Mustโ€Have Requirementsย 

  • 5+ years of experience as a data analyst in a complex, dataโ€heavy environmentย 
  • Advanced SQL skills, including writing, debugging, and optimizing complex queries across multiple tables and schemasย 
  • Proven experience owning recurring, productionโ€level data processes endโ€toโ€end with minimal supervisionย 
  • Hands on experience working with multiple data streams simultaneously, including reconciling and validating data across systemsย 
  • Strong understanding of data validation, QA, and data quality controls; actively questions results rather than trusting outputs blindlyย 
  • Experience with healthcare quality measures (e.g., HEDIS, ) and/or claims and financial dataย 
  • Ability to independently troubleshoot data issues by tracing problems to source tables, upstream feeds, or ETL logicย 
  • Comfortable operating in a dynamic environment without stepโ€byโ€step runbooks; able to build and refine personal processes using technical specs and experienceย 
  • Experience using source control/versioning and participating in peer reviewsย 


Nice-to-Haves:

  • Healthcare experience preferredย 
  • Experience with SSRS or similar reporting tools and report delivery workflowsย 
  • Familiarity with IBM AS/400 (iSeries) or systems interfacing with legacy claims platformsย 
  • Background supporting IPA/MSO medical management modelsย 
  • Experience automating or supporting analysis using Python, C#, or similar scripting languagesย 
  • Prior experience delivering data to external vendors or portals (e.g.,ย Cozevaย or similar platforms)ย 


$55.00/hrย to $58.62/hr.ย 

Exact compensation may vary based on several factors, including skills, experience, and education.ย 

Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.ย