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Remote Data Processing Jobs in Glendale, AZ (NOW HIRING)

Citizens

Senior Data Engineer

Phoenix, AZ · On-site +1

$105K - $158K/yr

Design, build, and maintain scalable data pipelines supporting batch and real time processing ... remote Schedule Monday through Friday Pay Transparency The salary range for this position is $105 ...

Citizens

Senior Data Engineer

Phoenix, AZ · On-site +1

$105K - $158K/yr

Design, build, and maintain scalable data pipelines supporting batch and real time processing ... remote Schedule Monday through Friday Pay Transparency The salary range for this position is $105 ...

Citizens

Senior Data Engineer

Phoenix, AZ · On-site +1

$105K - $158K/yr

Design, build, and maintain scalable data pipelines supporting batch and real time processing ... remote Schedule Monday through Friday Pay Transparency The salary range for this position is $105 ...

Arsenault Inc

Data Analyst (REMOTE)

Phoenix, AZ · Remote

$115K - $126K/yr

Ensures business data and analysis requirements are met by properly applying data concepts, including data structures, collection and cleansing, and structured and unstructured data analysis and ...

MM International

Healthcare Data Analyst

Chandler, AZ · Remote

Remote Hours: 8 AM - 5 PM EST Start Date: June 27 Length: 12 months CTH (Contract-to-Hire) Interview Process: 2 Rounds (1 Culture Fit + 1 Technical Interview) Role Summary: As a Mid-Level Data and ...

Dlapiper

Data Scientist

Phoenix, AZ · On-site +1

Designs data modeling processes to create algorithms and predictive models. Performs custom ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

Achieve

Sr. Data Analyst

Tempe, AZ · On-site +1

$115K - $145K/yr

Design portfolio monitoring, processes, and controls for managing credit risk and identifying root ... Hybrid and remote work opportunities * Medical, dental, and vision with HSA and FSA options Note:

Achieve

Sr. Data Analyst

Tempe, AZ · On-site +1

Design portfolio monitoring, processes, and controls for managing credit risk and identifying root ... Hybrid and remote work opportunities * Medical, dental, and vision with HSA and FSA options Note:

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Remote Data Processing information

See Glendale, AZ salary details

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How much do remote data processing jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for remote data processing in Glendale, AZ is $20.15, according to ZipRecruiter salary data. Most workers in this role earn between $16.01 and $22.21 per hour, depending on experience, location, and employer.

What is remote data processing?

Remote data processing refers to the collection, analysis, and management of data from a location outside of a traditional office setting, often using cloud-based tools and remote access technologies. Professionals in this role handle data entry, validation, organization, and sometimes basic analytics, ensuring data integrity and accessibility for organizations. This job typically requires strong computer skills, attention to detail, and the ability to work independently while maintaining data security and privacy protocols.

What are the key skills and qualifications needed to thrive as a remote data processing specialist?

To thrive as a Remote Data Processing specialist, you need strong analytical skills, attention to detail, and proficiency in data entry and management, often supported by a relevant degree or experience in data-related roles. Familiarity with databases, spreadsheet software like Microsoft Excel or Google Sheets, and sometimes data processing tools such as SQL or Python is typically required. Excellent time management, self-motivation, and clear communication are essential soft skills for remote collaboration and meeting deadlines. These abilities ensure data accuracy, efficient processing, and effective teamwork in a remote work environment.

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

Remote data processing professionals often encounter challenges such as ensuring data accuracy, managing large datasets, and maintaining clear communication with distributed teams. To overcome these, it's important to establish strong data validation protocols, use reliable tools for data management, and schedule regular virtual meetings to stay aligned with team objectives. Additionally, setting clear expectations and using collaborative platforms can help mitigate misunderstandings and improve workflow efficiency.

What is the difference between Remote Data Processing vs Remote Data Analysis?

AspectRemote Data ProcessingRemote Data Analysis
Primary RoleHandling data input, cleaning, and preparationInterpreting data to generate insights and reports
Skills & CertificationsData management, SQL, basic scriptingStatistical analysis, data visualization, tools like Excel, R, Python
Work EnvironmentData warehouses, cloud platforms, databasesAnalysis tools, dashboards, reporting software
Industry UsageData management teams, IT departmentsBusiness intelligence, marketing, finance

Remote Data Processing focuses on preparing and managing raw data, while Remote Data Analysis involves interpreting that data to inform decisions. Both roles often require similar technical skills but differ in their core responsibilities and end goals.

What are popular job titles related to Remote Data Processing jobs in Glendale, AZ?

For Remote Data Processing jobs in Glendale, AZ, the most frequently searched job titles are:

What job categories do people searching Remote Data Processing jobs in Glendale, AZ look for?

The top searched job categories for Remote Data Processing jobs in Glendale, AZ are:

What cities near Glendale, AZ are hiring for Remote Data Processing jobs?

Cities near Glendale, AZ with the most Remote Data Processing job openings:

Remote Data Processing jobs near you
Infographic showing various Remote Data Processing job openings in Glendale, AZ as of August 2026, with employment types broken down into 58% Full Time, and 42% Contract. Highlights an 100% Remote job distribution, with an average salary of $41,918 per year, or $20.2 per hour.

Senior AI Engineer / Data Scientist

Koantek

Chandler, AZ • Remote

Contractor

Re-posted 13 days ago

Job description

Senior AI Engineer / Data Scientist (Consulting) Location: United States (Remote) Employment Type: Full-Time / Contract Experience Level: Senior About the Role: We are seeking an experienced, highly technical Senior AI Engineer / Data Scientist to join our customer-facing consulting team. This remote role requires a unique blend of advanced Machine Learning (ML) expertise, deep knowledge of MLOps principles, and a proven track record in client-facing implementation. You will design, deploy, and maintain production-grade ML solutions, including advanced Generative AI and NLP models, for our diverse client base.

Key Responsibilities: * Technical Consulting: Lead end-to-end ML implementations directly with clients, translating business problems into robust technical solutions. * MLOps and Pipelines: Design, build, and maintain production-grade ML pipelines with a strong focus on CI/CD, automation, and scalability. * GenAI and NLP Deployment: Implement and optimize cutting-edge Generative AI applications (such as LLMs and RAG) in live production settings.

* Infrastructure and Data Scale: Manage underlying infrastructure using Docker, pipeline orchestrators, and distributed computing frameworks like Apache Spark. * Stakeholder Management: Clearly communicate technical findings, proposals, and project status to both technical and non-technical audiences. Required Qualifications: * 4+ years of professional experience developing, deploying, and maintaining ML models in a live production environment (Mandatory).

* 3+ years of experience in a customer-facing consulting or Solutions Architect role. * Strong expertise in the MLOps lifecycle (model versioning, testing, monitoring, and automated deployment). * Solid hands-on experience with containerization (Docker) and data pipeline orchestration.

* Proven track record of deploying Generative AI and NLP solutions for client applications. * Excellent verbal and written communication skills. Preferred Qualifications: * Hands-on experience with modern ML platform stacks, specifically Databricks MLOps Stacks.

* Deep knowledge of large-scale data processing and distributed machine learning techniques. * A strong commitment to continuous learning in emerging ML fields and GenAI application architectures.

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