This is a remote position; however, the candidate must reside within 30 miles of one of the ... Drive the migration to automated, metadata-driven, and declarative engineering architectures.
This is a remote position; however, the candidate must reside within 30 miles of one of the ... Drive the migration to automated, metadata-driven, and declarative engineering architectures.
This is a remote position; however, the candidate must reside within 30 miles of one of the ... Drive the migration to automated, metadata-driven, and declarative engineering architectures.
This is a remote position; however, the candidate must reside within 30 miles of one of the ... Drive the migration to automated, metadata-driven, and declarative engineering architectures.
Remote Metadata information
See Rohnert Park, CA salary details
$39.68 - $44.61
4% of jobs
$44.61 - $49.55
0% of jobs
$49.55 - $54.49
0% of jobs
$54.49 - $59.43
1% of jobs
$59.43 - $64.37
11% of jobs
$66.25 is the 25th percentile. Wages below this are outliers.
$64.37 - $69.31
22% of jobs
The median wage is $73.19 / hr.
$69.31 - $74.24
15% of jobs
$74.24 - $79.18
11% of jobs
$83.30 is the 75th percentile. Wages above this are outliers.
$79.18 - $84.12
13% of jobs
$84.12 - $89.06
10% of jobs
$89.06 - $94
13% of jobs
$39
$74
$93
How much do remote metadata jobs pay per hour?
As of Jun 26, 2026, the average hourly pay for remote metadata in Rohnert Park, CA is $74.89, according to ZipRecruiter salary data. Most workers in this role earn between $66.30 and $84.95 per hour, depending on experience, location, and employer.
What are the key skills and qualifications needed to thrive in the Remote Metadata position, and why are they important?
To excel as a Remote Metadata Specialist, you need a deep understanding of information management, data organization, and metadata standards, often backed by a degree in library science, information systems, or a related field. Familiarity with metadata management tools (e.g., DAM systems, XML, Dublin Core), database systems, and sometimes certifications such as Certified Records Manager (CRM) are highly valued. Strong attention to detail, analytical thinking, and effective virtual communication are standout soft skills for this role. These competencies are essential to ensure data is accurately structured, easily retrievable, and supports organizational objectives in a distributed work environment.
What is a Remote Metadata job?
A Remote Metadata job involves managing, organizing, and ensuring the accuracy of metadata for digital content, databases, or other assets from a remote location. Responsibilities may include tagging, categorizing, and maintaining metadata standards to improve searchability and data integrity. These roles are common in industries like media, publishing, e-commerce, and information management. Strong attention to detail, familiarity with metadata standards, and proficiency in data management tools are often required.
How can I make 2000 a week working from home?
Remote metadata roles often pay based on the number of tasks completed or hours worked, with some freelancers earning around $2000 weekly by handling large volumes of data annotation, tagging, or cataloging tasks. Success depends on skills, efficiency, and access to platforms that offer consistent work, such as freelance marketplaces or specialized data companies. Building a strong reputation and acquiring relevant tools or certifications can help increase earning potential in this field.
What's the highest paid remote job?
Remote roles in executive management, such as Chief Executive Officers (CEOs) or Chief Financial Officers (CFOs), tend to be the highest paid, often earning six- or seven-figure salaries. Other high-paying remote jobs include specialized roles like software architects, data scientists, and cybersecurity directors, which require advanced skills and experience. Compensation varies based on industry, company size, and individual expertise.
What jobs pay 2000 a day?
High-paying freelance or consulting roles such as remote metadata specialists, data analysts, or project managers can earn around $2,000 per day, especially with specialized skills and experience. These roles often require advanced knowledge of data management, metadata standards, or industry-specific tools, and may involve contract or project-based work with flexible schedules.
Does Meta still do remote jobs?
Meta offers remote job opportunities across various roles, including positions related to data, engineering, and product management. The company has expanded its remote work options, especially following the shift in workplace policies during the pandemic, and many remote roles require strong digital communication skills and familiarity with collaboration tools.
What does a typical day look like for a Remote Metadata Specialist?
As a Remote Metadata Specialist, your day typically involves reviewing digital assets, assigning or updating metadata following industry standards, and collaborating with team members via virtual platforms. You may be responsible for quality-checking metadata for consistency and accuracy, troubleshooting data discrepancies, or developing new metadata taxonomies to improve searchability. Regular meetings with content creators, data managers, or IT professionals are common to align metadata practices with organizational goals. The role is often both independent and collaborative, offering a balance between focused tasks and teamwork, all within a flexible remote work environment.
What are popular job titles related to Remote Metadata jobs in Rohnert Park, CA? For Remote Metadata jobs in Rohnert Park, CA, the most frequently searched job titles are:
What cities near Rohnert Park, CA are hiring for Remote Metadata jobs? Cities near Rohnert Park, CA with the most Remote Metadata job openings:
Full-time
Medical, Dental, Vision, Life, Retirement, PTO
Posted 11 days ago
WEX Inc. rating
8.1
Based on 16 frontline employees who took The Breakroom Quiz
8th of 18 rated payment service providers
Job description
This is a remote position; however, the candidate must reside within 30 miles of one of the following locations: Portland, ME; Boston, MA; Chicago, IL; Dallas, TX; San Francisco Bay Area, CA; and Seattle/WA.
About the Team/Role
As WEX continues to scale its Data-as-a-Service (DaaS) platform, the Data Acquisition Team plays a critical role in enabling secure, scalable, and reliable ingestion of data from hundreds of internal systems and external sources.
We are seeking a hands-on Senior Manager, Software Engineering - Data Acquisition to lead our team in acquiring and processing high-volume data, while simultaneously driving the evolution toward AI-augmented, spec-driven software development to enhance platform scalability and delivery speed.
This role requires a strong leader with deep technical expertise in data pipelines, distributed systems, and cloud architecture, who can drive technical excellence, foster a culture of innovation, and align the data acquisition strategy with overall business goals.
Responsibilities:
Engineering Leadership & Team Development: Recruit, mentor, and lead a high-performing team of software engineers focused on data acquisition, fostering a collaborative and inclusive culture. Oversee performance management, career pathing, and top-tier talent acquisition.
AI-Augmented Development Strategy: Pioneer the adoption of AI-assisted software development across engineering teams. Define metrics and implement AI-enabled development workflows to measurably enhance engineering productivity.
Specification-Driven Development (SDD): Establish and enforce a specification-first development methodology. Standardize templates for all key artifacts (APIs, data contracts, ingestion pipelines, architecture) and ensure end-to-end traceability across implementation, validation, deployment, and observability.
Architectural Transformation & Modernization: Drive the migration to automated, metadata-driven, and declarative engineering architectures. Develop reusable frameworks that translate technical specifications directly into generated code, deployment artifacts, and operational controls.
Strategic Roadmap Execution: Define and execute the technical roadmap for all data acquisition pipelines and systems, ensuring the infrastructure is highly scalable, reliable, secure, and cost-effective to accommodate accelerating data volume and velocity.
Technical Governance & Oversight: Provide authoritative technical direction on the design, development, and maintenance of mission-critical data ingestion frameworks. Mandate and enforce best practices for software engineering, data governance, and data quality.
Stakeholder Collaboration: Partner closely with Product Management, Data Science, Data Governance, and other engineering teams to align data solutions with overarching business requirements and strategic data needs.
Engineering Process Optimization: Institute and champion continuous improvement in engineering processes, tools, and methodologies, including CI/CD, automation, monitoring, and alerting practices.
Sustained Operational Excellence: Guarantee the high availability and performance of all data acquisition systems, taking ownership of incident response, recovery, and thorough root cause analysis for major service disruptions.
Resource & Financial Stewardship: Oversee budget allocation, resource management, and capacity planning to ensure the strategic growth of the data acquisition organization.
Qualifications:
Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.
Experience: 10+ years of experience in software engineering, with at least 5+ years in a management role overseeing software engineering or data acquisition teams.
Experience in leading virtual teams is highly desirable
Technical Expertise:
Experience implementing AI-assisted engineering workflows in production software organizations.
Deep understanding of specification-driven engineering, declarative system design, or model-driven development.
Deep expertise in building and managing high-volume, real-time and batch data pipelines (e.g., Kafka, Kinesis, Pulsar).
Proficiency with cloud platforms (e.g., AWS, Azure, GCP) and experience designing scalable, serverless, or containerized data ingestion architectures (e.g., Kubernetes, EKS/AKS/GKE).
Strong knowledge of various data sources, integration patterns (APIs, web scraping, messaging queues), and ETL/ELT tools.
Expertise in programming languages such as Java, Python, Scala, or Go.
Solid understanding of database technologies (SQL, NoSQL, Data Warehouses like Snowflake, Redshift, etc.).
Leadership Skills: Proven ability to lead, motivate, and manage multiple distributed teams. Excellent communication, presentation, and interpersonal skills.
Problem Solving: Strong analytical and problem-solving skills, with the ability to define solutions for complex technical challenges.
About WEX
Sourced by ZipRecruiter
Industry
Software development
Company size
1,001 - 5,000 Employees
Headquarters location
Portland, ME, US
Year founded
1983