2

Remote Data Analyst R Programming Jobs in Seattle, WA

This could include roles such as data analyst, data scientist, data engineer, or similar positions * 4+ years of experience with SQL, ETL, data modeling, and at least one programming language (e.g ...

This could include roles such as data analyst, data scientist, data engineer, or similar positions * 4+ years of experience with SQL, ETL, data modeling, and at least one programming language (e.g ...

This could include roles such as data analyst, data scientist, data engineer, or similar positions * 7+ years of experience with SQL, ETL, data modeling, and at least one programming language (e.g ...

... Analyst to support the build, commissioning, and turnover of large-scale data center infrastructure ... Ability to work effectively with vendors, contractors, engineers, commissioning teams, construction ...

Data Engineer

Seattle, WA · On-site +1

$130K - $150K/yr

Seattle candidates will have a hybrid remote/in-office schedule where you will work from our casual ... Data Analytics and Data Science teams to map business requirements into high-performance user ...

Manager, Data Engineer (Remote)

Home, WA · Remote

$100K - $174K/yr

Job Summary Strategic Analytics at Arch is a growing team at the forefront of the company's AI ... Own end-to-end data engineering delivery across the project lifecycle. * Build strong partnerships ...

Manager, Data Engineer (Remote)

Home, WA · Remote

$100K - $174K/yr

Job Summary Strategic Analytics at Arch is a growing team at the forefront of the company's AI ... Own end-to-end data engineering delivery across the project lifecycle. * Build strong partnerships ...

... LI-remote Who We Need Truveta is rapidly building a talented and diverse team to tackle complex ... data using SQL, R and Python on RWD to address their empirical questions. * Write regex queries ...

Data Engineer

Seattle, WA · Remote

$117K - $140K/yr

Remote JD: Key Responsibilities * Design and implement ETL pipelines using Microsoft Fabric ... Enable interactive data consumption via Power BI, Azure OpenAI, and other analytics tools. * Ensure ...

Analytical Reasoning * Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical ... Data Interpretation * Data Annotation * Fact Checking * Independent Research * Problem-Solving

Data Engineer

Bellevue, WA · Remote

$117K - $140K/yr

Data Engineer Location: Bellevue, WA. (Remote) Mandatory Skills: Vectr and Cribl 8+ years of ... Write and optimize SQL queries and stored procedures for data transformation and analysis.

Data Governance & Quality Consultant Seattle, WA / Remote We are seeking a Data Governance ... Experience: 3+ years in Data QA, Governance, or Engineering, ideally within Financial Services.

Analytical Reasoning * Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical ... Data Interpretation * Data Annotation * Fact Checking * Independent Research * Problem-Solving

... analysis. * Evaluate and synthesize findings from biological, chemical, and clinical data sources ... programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME). * Strong ...

Showing results 21-40

Remote Data Analyst R Programming information

See Seattle, WA salary details

$38.7K

$94K

$154.8K

How much do remote data analyst r programming jobs pay per year?

As of Aug 18, 2026, the average yearly pay for remote data analyst r programming in Seattle, WA is $94,047.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,100.00 and $110,400.00 per year, depending on experience, location, and employer.

What is a remote data analyst r programming?

A Remote Data Analyst R Programming is a professional who analyzes and interprets data using the R programming language while working from a remote location. Their primary responsibilities include collecting, cleaning, and visualizing data, as well as performing statistical analyses to help organizations make data-driven decisions. These analysts often collaborate with teams online and use R to automate processes, generate reports, and create predictive models. Remote work allows them flexibility and access to a wider range of employers, while R provides powerful tools for handling complex data tasks.

What are the key skills and qualifications needed to thrive as a remote data analyst specializing in R programming?

To thrive as a Remote Data Analyst specializing in R Programming, you need strong statistical analysis skills, proficiency in R, and a background in mathematics, statistics, or a related field. Experience with data visualization tools, databases (such as SQL), and familiarity with data science platforms or certifications like the Data Science Professional Certificate are commonly required. Effective communication, problem-solving abilities, and self-motivation are crucial soft skills for excelling in remote and collaborative environments. These skills ensure accurate data-driven insights, efficient workflow, and successful teamwork across distributed teams.

How does a remote data analyst specializing in r programming typically collaborate with team members across different locations?

As a Remote Data Analyst focused on R Programming, collaboration is often facilitated through digital communication tools such as Slack, Zoom, and project management platforms like Jira or Trello. Analysts regularly share scripts, data visualizations, and reports using version control systems like Git, ensuring code transparency and reproducibility. Team meetings and code reviews are scheduled to align on project goals, troubleshoot challenges, and maintain data integrity. Building strong communication skills and documenting code thoroughly are essential for effective teamwork in a remote environment.

What is the difference between Remote Data Analyst R Programming vs Remote Data Analyst Python?

AspectRemote Data Analyst R ProgrammingRemote Data Analyst Python
Required SkillsProficiency in R, data visualization, statistical analysisProficiency in Python, data manipulation, machine learning
Work EnvironmentRemote, data-focused roles in research, healthcare, financeRemote, data-driven roles in tech, e-commerce, finance
Common CertificationsR certifications, data analysis coursesPython certifications, data science courses

Both roles involve remote data analysis but differ mainly in programming language expertise. R-focused analysts excel in statistical analysis and visualization, often in research or healthcare sectors. Python analysts are versatile in data manipulation and machine learning, commonly working in tech or e-commerce. Understanding these differences helps job seekers target roles aligned with their skills and industry preferences.

What are the most commonly searched types of Data Analyst R Programming jobs in Seattle, WA?

The most popular types of Data Analyst R Programming jobs in Seattle, WA are:

What are popular job titles related to Remote Data Analyst R Programming jobs in Seattle, WA?

For Remote Data Analyst R Programming jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Remote Data Analyst R Programming jobs in Seattle, WA look for?

The top searched job categories for Remote Data Analyst R Programming jobs in Seattle, WA are:

What cities near Seattle, WA are hiring for Remote Data Analyst R Programming jobs?

Cities near Seattle, WA with the most Remote Data Analyst R Programming job openings:

Infographic showing various Remote Data Analyst R Programming job openings in Seattle, WA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $94,047 per year, or $45.2 per hour.

Data Engineer, Product Analytics

Meta

Bellevue, WA • On-site, Remote

$147K/yr

Full-time

Re-posted 18 days ago


Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

137th of 245 rated software companies


Job description

As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Reality Labs, Threads). Your technical skills and analytical mindset will be utilized designing and building some of the world's most extensive data sets, helping to craft experiences for billions of people and hundreds of millions of businesses worldwide.In this role, you will collaborate with software engineering, data science, and product management teams to design/build scalable data solutions across Meta to optimize growth, strategy, and user experience for our 3 billion plus users, as well as our internal employee community.You will be at the forefront of identifying and solving some of the most interesting data challenges at a scale few companies can match. By joining Meta, you will become part of a world-class data engineering community dedicated to skill development and career growth in data engineering and beyond.Data Engineering: You will guide teams by building optimal data artifacts (including datasets and visualizations) to address key questions. You will refine our systems, design logging solutions, and create scalable data models. Ensuring data security and quality, and with a strong focus on efficiency, you will suggest architecture and development approaches and data management standards to address complex analytical problems.Product leadership: You will use data to shape product development, identify new opportunities, and tackle upcoming challenges. You'll ensure our products add value for users and businesses, by prioritizing projects, and driving innovative solutions to respond to challenges or opportunities.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
Data Engineer, Product Analytics Responsibilities:
  • Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems
  • Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve
  • Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights in a meaningful way
  • Define and manage Service Level Agreements for all data sets in allocated areas of ownership
  • Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership
  • Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains
  • Solve our most challenging data integration problems, utilizing optimal Extract, Transform, Load (ETL) patterns, frameworks, query techniques, sourcing from structured and unstructured data sources
  • Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts
  • Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts
  • Influence product and cross-functional teams to identify data opportunities to drive impact
  • Mentor team members by giving/receiving actionable feedback

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 4+ years of experience where the primary responsibility involves working with data. This could include roles such as data analyst, data scientist, data engineer, or similar positions
  • 4+ years of experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala, etc.)

Preferred Qualifications:
  • Master's or Ph.D degree in a STEM field
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$147,000/year to $208,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

What Meta employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom