ZipRecruiter

Log In

2

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

The Select Group

Data Quality Analyst

Tukwila, WA · On-site +1

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

IT Labs

Lead Data Engineer

Seattle, WA · Remote

$117K - $140K/yr

Lead the design, development, and optimization of scalable data platforms and pipelines. * Design ... Remote * Contract or B2B arrangement Our values We are a company that seeks the best for both our ...

Apply Early

IT America Inc

Graph Database Architect

Bellevue, WA · 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 ...

Apply Early

Archgroup

Manager, Data Engineer (Remote)

Home, WA · Remote

$100K - $174K/yr

Data warehousing and modeling fundamentals (schema design, conformed definitions, performance optimization) * Data quality and observability practices (testing, reconciliation, monitoring) Analytics ...

Archgroup

Manager, Data Engineer (Remote)

Home, WA · Remote

$100K - $174K/yr

Data warehousing and modeling fundamentals (schema design, conformed definitions, performance optimization) * Data quality and observability practices (testing, reconciliation, monitoring) Analytics ...

Databricks

Principal Data Scientist

Seattle, WA · On-site +1

... are open to remote candidates in other locations. Databricks is looking for a Principal Data ... optimization, and machine learning. * Exceptional written and verbal communication -- the ability ...

OTSI

AI & Data Solutions Architect

Seattle, WA · Remote

Seattle (Remote, some travel required) We are seeking a highly technical, client-facing AI & Data ... Governance & Optimization: Ensure architectural consistency, quality, and strict adherence to ...

SingleFile

RevOps Analyst (Remote)

Seattle, WA · 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

Apply Early

EnthuZiastic

Growth Hacker - Remote

Tacoma, WA · Remote

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 ...

EnthuZiastic

Growth Hacker - Remote

Seattle, WA · Remote

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 ...

EnthuZiastic

Growth Hacker - Remote

Bellevue, WA · Remote

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 ...

next page

Showing results 1-20

All JobsRemote Data Optimization JobsRemote Data Optimization Jobs in Seattle, WA

Remote Data Optimization information

See Seattle, WA salary details

$18

$64

$92

How much do remote data optimization jobs pay per hour?

As of Jul 1, 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 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 a data optimization job example?

A data optimization job involves analyzing and improving data quality, structure, and storage to enhance efficiency and accuracy. For example, optimizing database queries or cleaning large datasets using tools like SQL or Python helps organizations make better data-driven decisions.

What is the highest paying job in data?

In data-related fields, roles such as Chief Data Officer, Data Science Director, and Machine Learning Engineer tend to have the highest salaries, often exceeding six figures annually. These positions typically require advanced skills in data analysis, machine learning, and leadership, along with relevant certifications and experience.

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.

Is it possible to get a remote job as a data analyst?

Yes, remote data analyst positions are widely available across various industries. These roles typically require skills in data analysis tools like Excel, SQL, or Python, and often involve working with cloud-based platforms or collaboration tools. Many companies offer remote work options for data analysts, especially with experience in data visualization and reporting.

Is 40 too late for data science?

Remote Data Optimization roles often value skills and experience over age, and many professionals transition into data science later in their careers. Learning relevant tools like Python, SQL, and machine learning can help, and continuous education or certifications can improve job prospects regardless of age.

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 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 Data Optimization jobs near you
Cloud Billing & Optimization Specialist

Cloud Billing & Optimization Specialist

ProsperOps

Home, WA • Remote

Full-time

Posted 26 days ago

Job description

ProsperOps is the category leader in autonomous cloud cost optimization, founded by the leaders behind Rackspace's AWS Managed Services Business. We use sophisticated algorithms, AI, and automation to generate world class savings outcomes for AWS, Azure, and Google Cloud, while minimizing our customers' risk. We have over $5 billion dollars of cloud spend under management and serve sophisticated teams like Coinbase, Canva, SeatGeek, and TD Synnex. The cloud is incredibly powerful, but operating it cost effectively is complicated and time-consuming. Our mission is to remove complexity and deliver savings outcomes so every business can prosper in the cloud. We're a fully remote team, so 100% of our roles are open to applicants anywhere in the region in which the role is advertised.

ProsperOps autonomously manages cloud discount instruments using algorithms and automation and oversees over $4B of customer compute spend. We're seeking someone with a background in FinOps, complex billing, or cloud operations with demonstrated problem solving skills. You'll work on an evolving set of operational activities to ensure that our system can perform an increasingly complex set of FinOps functions. Thinking about our autonomous cloud management system as a self-driving car, you'll be like the expert driver who also knows how systems that drive the car work. This includes data analysis, financial/FinOps operations, and building exhaustive knowledge of cloud billing discount instruments like Savings Plans and Reserved Instances across clouds.

For this role - we're specifically looking for experience with Azure discount instruments.

If you've worked in complex finance/billing technology environments as the expert on how things worked and want to become a world-class FinOps practitioner, this is your role. You'll be part of a startup that has a positive and low ego culture, a profitable and fast growing business, and customers that love us.

Essential Requirements

  • Problem Solver - you can cull the relevant details and solve for the essence of the problem

  • Unafraid of Math - you are comfortable working with numbers, reading complex charts, and ad hoc spreadsheet analysis

  • Fastidious - you're organized, care about the details, and seldom make mistakes

  • Ownership - you have autonomy in our culture to take on and fix shortcomings and challenges

  • FinOps - you have hands-on experience with FinOps and Azure rate optimization

Ideal Requirements

  • Experience working with AWS & GCP a plus

  • Cloud FinOps knowledge to include deep knowledge of Reserved Instances, Savings Plans, cost & usage data, and basic finance and accounting knowledge

  • Experience working with Cloud FinOps tools

  • Proficient with Microsoft Excel/Google Sheets

ProsperOps, a Flexera company, is proud to be an equal opportunity employer. Qualified applicants will be considered for open roles regardless of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by local/national laws, policies and/or regulations.

ProsperOps understands the value that results from employing a diverse, equitable, and inclusive workforce. We recognize that equity necessitates acknowledging past exclusion and that inclusion requires intentional effort. Our DEI(Diversity, Equity, and Inclusion)council is the driving force behind our commitment to championing policies and practices that foster a welcoming environment for all.

We encourage candidates requiring accommodations to please let us know by emailingcareers@flexera.com.

Apply