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Remote Data Management Jobs in Layton, UT (NOW HIRING)

SCADA Engineer

Salt Lake City, UT · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Data Acquisition), RTU (Remote Terminal Unit), IED (Intelligent Electronic Device) and PLC technologies. * Experience with DNP 3. * Working knowledge of ABB Monarch energy management system.

SCADA Engineer

Salt Lake City, UT · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Data Acquisition), RTU (Remote Terminal Unit), IED (Intelligent Electronic Device) and PLC technologies. * Experience with DNP 3. * Working knowledge of ABB Monarch energy management system.

Documentation Management: Organize and digitize site inspection reports, warranty claims, and ... Communicate with remote solar technicians and utility partners to clarify data requirements and ...

The ideal candidate will have a strong background in solution design, data management, and ... This position is available as a hybrid or fully remote work schedule. Responsibilities: Solution ...

Data Analyst

Salt Lake City, UT · Remote

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

This is a remote role that is part of the Finance department and reports to the Director of Data & Analytics. YOUR RESPONSIBILITIES * Partner directly with stakeholders across the business (Product ...

Data Analyst

Salt Lake City, UT · Remote

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

This is a remote role that is part of the Finance department and reports to the Director of Data & Analytics. YOUR RESPONSIBILITIES * Partner directly with stakeholders across the business (Product ...

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Showing results 1-20

Remote Data Management information

See Layton, UT salary details

$10

$37

$75

How much do remote data management jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for remote data management in Layton, UT is $37.39, according to ZipRecruiter salary data. Most workers in this role earn between $19.06 and $52.59 per hour, depending on experience, location, and employer.

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 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 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.

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 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 popular job titles related to Remote Data Management jobs in Layton, UT?

For Remote Data Management jobs in Layton, UT, the most frequently searched job titles are:

What cities near Layton, UT are hiring for Remote Data Management jobs?

Cities near Layton, UT with the most Remote Data Management job openings:

Infographic showing various Remote Data Management job openings in Layton, UT as of August 2026, with employment types broken down into 73% Full Time, and 27% Contract. Highlights an 100% Remote job distribution, with an average salary of $77,762 per year, or $37.4 per hour.

Client Success Data & Integrations Manager

Octanner

Salt Lake City, UT • On-site, Remote

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

O.C. Tanner is the global leader in software and services that improve workplace culture through meaningful employee experiences. Our Culture Cloud is a suite of apps designed to enhance the employee experience with strategic recognition, service awards, wellbeing, leadership, and events that help people thrive at work. Our Culture by Design approach provides expert services to organizations looking to create great workplaces.

Our global team of 1,500 people hail from 58 countries and speak 62 languages. As programmers, researchers, designers, client professionals and craftspeople we create the tech, tools and awards that connect employees to purpose at thousands of companies. Join us as we help people all over the world thrive at work.

Client Success Data & Integrations Manager

Location:Corporate Office - SLC - Hybrid (Mon-Wed in office, Thu-Fri remote)
Department:Client Success
Reports To:Director, Client Data Management

Role Overview

The Client Success Data & Integrations Manager leads the Client Success Data and Integrations functions, ensuring clients receive exceptional support across data management, connected systems, and technical onboarding experiences.

This leader is responsible for developing people, advancing team capabilities, and helping define the future of how client data and integrations support program success. They partner closely with Client Success, Product, Engineering, Sales, and Operations to improve scalability, reduce friction, and drive adoption of new technologies.

Primary Focus:

Team Leadership & Development

  • Lead and develop Data Consultants, Data Advisors, Data Strategists, and Integration Specialists.

  • Establish clear career paths, coaching plans, and growth opportunities.

  • Build a culture of accountability, innovation, continuous learning, and client focus.

  • Recruit, onboard, and develop top talent.

Operational Excellence

  • Ensure reliable execution of client data and integration processes.

  • Monitor team performance, quality, capacity, and service levels.

  • Identify opportunities to reduce manual work and improve efficiency.

  • Drive standardization and process improvement initiatives.

Governance, Security & Compliance

  • Ensure client data and integration solutions adhere to company security, privacy, governance, and compliance standards.

  • Partner with Security, Legal, Product, and Engineering teams to mitigate risk while enabling scalable client solutions.

  • Establish and maintain best practices for data stewardship, data quality, system access, and operational controls.

  • Promote responsible adoption of new technologies, automation, AI, and connected platform capabilities.

Client Leadership & Escalation Management

  • Serve as an escalation point for complex or high-impact client data, integration, and operational challenges.

  • Balance client advocacy with company objectives to drive successful outcomes and maintain long-term trust.

  • Partner with Client Success and Sales leaders to improve client adoption, retention, scalability, and overall business value.

  • Provide strategic guidance to clients navigating evolving data, integration, and technology landscapes.

Strategic Direction

  • Define the future vision for client data and integration services.

  • Champion adoption of emerging technologies, automation, AI, APIs, and platform capabilities.

  • Help clients and internal teams prepare for changing technology landscapes.

  • Influence product and platform direction through client insights and operational expertise.

Cross-Functional Leadership

  • Partner with Product, Engineering, Security, Sales, and Client Success leaders.

  • Align data and integration capabilities with broader organizational priorities.

  • Lead major initiatives involving client data, integrations, and digital transformation.

  • Serve as an escalation point for high-impact client situations.

Experience & Education

  • 5+ years of experience in client-facing data management, integrations, technology services, operations, consulting, or related business functions.

  • 2+ years of experience leading, coaching, and developing teams and individual contributors.

  • Demonstrated success leading cross-functional initiatives involving Client Success, Product, Engineering, Operations, Security, Sales, or other business stakeholders.

  • Experience managing client data solutions, system integrations, APIs, technical onboarding, enterprise software implementations, or related technologies.

  • Proven ability to drive process improvement, automation, scalability, and operational excellence initiatives.

  • Strong understanding of data governance, privacy, security, and compliance principles.

  • Experience supporting complex client environments and serving as an escalation point for critical business or technical issues preferred.

  • Ability to evaluate emerging technologies and translate technical capabilities into meaningful business and client outcomes.

  • Bachelor's degree in Business, Information Systems, Computer Science, Data Analytics, or a related field, or an equivalent combination of education and professional experience.