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Remote Data Management Jobs in Phoenix, AZ (NOW HIRING)

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:

Ascend Learning

Director Data & AI

Gilbert, AZ · On-site +1

Headquartered in Burlington, MA, with additional office locations and hybrid and remote workers in ... Manage strategic vendor relationships across the data and AI ecosystem (Snowflake, Microsoft ...

Dlapiper

Data Scientist

Phoenix, AZ · On-site +1

Prioritizes, scopes and manages data science projects for internal stakeholders and clients ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

U-Haul

Contact Center Data Analyst

Phoenix, AZ · On-site +1

... remote work. As a Data Analyst, team members will be responsible for evaluating and improving U ... Collaborate with senior managers and decision makers to identify and solve a variety of problems ...

Banner Health

Senior Data Platform Architect

Phoenix, AZ · On-site +1

$63.75 - $85.25/hr

This is a remote position. In this role you would work Monday through Friday normal business hours ... Whether your background is in Human Resources, Finance, Information Technology, Legal, Managed Care ...

Banner Health

Senior Data Platform Architect

Phoenix, AZ · On-site +1

$63.75 - $85.25/hr

This is a remote position. In this role you would work Monday through Friday normal business hours ... Whether your background is in Human Resources, Finance, Information Technology, Legal, Managed Care ...

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Remote Data Management information

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How much do remote data management jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for remote data management in Phoenix, AZ is $39.88, according to ZipRecruiter salary data. Most workers in this role earn between $20.33 and $56.09 per hour, depending on experience, location, and employer.

What is remote data management?

Remote Data Management refers to the practice of organizing, storing, securing, and analyzing data from a location outside of an organization's physical premises. Professionals in this field use cloud-based tools and remote access software to manage databases, ensure data integrity, and facilitate data sharing among distributed teams. This approach enables businesses to maintain their data infrastructure efficiently while supporting remote work and global collaboration. It also involves implementing protocols to ensure data security and compliance with relevant regulations.

What are remote jobs in data management?

Various types of remote data management jobs are available in healthcare and insurance, with titles like clinical data manager, analyst, and auditor. In these jobs, you manage a database and provide analysis of information related to clinical trials, medical payments, operational activities, and more. Your duties and responsibilities include generating reports, database administration, and providing support for coworkers throughout your organization, but your responsibilities can vary based on what kinds of data you store. Additionally, you work with your company’s leadership to address issues affecting the availability and use of data and proactively suggest strategies for improving efficiency and accuracy. In some roles, you also participate in project planning, resource allocation, and budgeting.

What are the key skills and qualifications needed to thrive in remote data management?

To thrive in Remote Data Management, you need strong analytical skills, attention to detail, and a solid understanding of database concepts, often supported by a degree in information systems or a related field. Proficiency with data management tools such as SQL, Microsoft Excel, and cloud-based platforms like AWS or Google Cloud, as well as knowledge of data privacy regulations, is typically required. Excellent communication, self-motivation, and time management are important soft skills for collaborating with distributed teams and managing tasks independently. These skills ensure accurate, secure, and efficient handling of data assets while maintaining productivity and compliance in a remote work environment.

What are some common challenges faced in remote data management, and how can they be addressed?

One common challenge in remote data management is ensuring data security and integrity while working outside a traditional office environment. Remote team members must follow strict protocols for data access and regularly update security measures to protect sensitive information. Additionally, effective communication and collaboration with cross-functional teams can be more difficult remotely, so utilizing project management and communication tools is vital. Establishing clear workflows and regular check-ins helps maintain data consistency and team alignment.

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

AspectRemote Data ManagementData Analyst
CredentialsTypically requires a degree in IT, Computer Science, or related fields; certifications like Microsoft Certified Data Analyst or AWS Data AnalyticsRequires a degree in Statistics, Mathematics, or related fields; certifications like Microsoft Certified Data Analyst Associate or Tableau Desktop Specialist
Work EnvironmentPrimarily remote, working with databases, data warehouses, and cloud platformsRemote or on-site, analyzing data sets, creating reports, and visualizations
Industry UsageUsed across IT, finance, healthcare, and e-commerce sectorsCommon in finance, marketing, healthcare, and consulting industries

Remote Data Management and Data Analysts share overlapping skills in data handling and analytics, but differ mainly in focus. Remote Data Management emphasizes database administration and cloud platforms, while Data Analysts focus on interpreting data and creating insights. Both roles are vital in data-driven organizations and often collaborate to optimize data use.

More about Remote Data Management jobs

What are the most commonly searched types of Data Management jobs in Phoenix, AZ?

The most popular types of Data Management jobs in Phoenix, AZ are:

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For Remote Data Management jobs in Phoenix, AZ, the most frequently searched job titles are:

What job categories do people searching Remote Data Management jobs in Phoenix, AZ look for?

The top searched job categories for Remote Data Management jobs in Phoenix, AZ are:

What cities near Phoenix, AZ are hiring for Remote Data Management jobs?

Cities near Phoenix, AZ with the most Remote Data Management job openings:

Remote Data Management jobs near you
Infographic showing various Remote Data Management job openings in Phoenix, AZ as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $82,945 per year, or $39.9 per hour.

Senior AI Engineer / Data Scientist

Koantek

Chandler, AZ • Remote

Contractor

Re-posted 14 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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