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Remote Data Management Jobs in Carnegie, PA (NOW HIRING)

Cloud Data Architect

Pittsburgh, PA · Remote

$65.25 - $84/hr

Mentor junior architects and data management staff, and translate complex technical concepts into ... Remote work from home. * Hours of work and days are generally Monday through Friday. Specific ...

Cloud Data Architect

Pittsburgh, PA · On-site +1

$62 - $79.50/hr

Mentor junior architects and data management staff, and translate complex technical concepts into ... Remote work from home. * Hours of work and days are generally Monday through Friday. Specific ...

... Remote Eligible Yes Base Salary Range: $152000 - $228000 Descriptions & Requirements and ... Excellent problem-solving, communication, and stakeholder management skills. * Ability to work ...

Sr. Data Engineer (Snowflake)

Pittsburgh, PA · Remote

$117K - $140K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Collaborate with engagement managers and account teams to help scope work and provide technical ... Remote work from home. * Hours of work and days are generally Monday through Friday. Specific ...

Senior Analyst - Location Master Data Digital

Pittsburgh, PA · Remote

$83K - $105K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

As a Senior Analyst, Location Master Data & Hierarchy Management, you will be responsible for ... Ability to travel 25-50% of the time #LI-JB1 #LI-REMOTE This amount is what we reasonably believe ...

Sr. Data Engineer (Snowflake)

Pittsburgh, PA · On-site +1

$111K - $133K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Collaborate with engagement managers and account teams to help scope work and provide technical ... Remote work from home. * Hours of work and days are generally Monday through Friday. Specific ...

Data Scientist

Pittsburgh, PA · Remote

  • Medical

  • Retirement

We are fully remote, with team members in the United States and Europe. Benefits include: * Equity ... Flexible Time Off - Autonomy to manage your schedule and work-life balance. * Health, Welfare and ...

Engineering Manager

Pittsburgh, PA · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... data management and EHS managers and teams Actively manage direct reports to ensure the account ... Remote + up to 25% travel This position does not provide visa sponsorship. Candidates must be ...

Architect - Informatica P360

Pittsburgh, PA · Remote

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Architect data enrichment, validation, matching, survivorship, and location hierarchy management ... Ability to multi-task and reprioritize in a dynamic environment. #LI-JB1 #LI-REMOTE This amount is ...

Senior Developer (Informatica P360)

Pittsburgh, PA · Remote

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Works with project managers, business analysts, data stewards, business stakeholders, and product ... REMOTE This amount is what we reasonably believe we will pay for the position; however, offer ...

SR APPLICATION DEVELOPER - PEGA Remote

Pittsburgh, PA · Remote

$93K - $128K/yr

... Data Management, SOA, BPM, Data Warehousing, SharePoint Consulting and IT Infrastructure. Our other offerings include modified solutions and administrations in ERP, CRM, Enterprise architecture ...

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Remote Data Management information

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 Carnegie, PA? For Remote Data Management jobs in Carnegie, PA, the most frequently searched job titles are:
What job categories do people searching Remote Data Management jobs in Carnegie, PA look for? The top searched job categories for Remote Data Management jobs in Carnegie, PA are:
What cities near Carnegie, PA are hiring for Remote Data Management jobs? Cities near Carnegie, PA with the most Remote Data Management job openings:
Infographic showing various Remote Data Management job openings in Carnegie, PA as of August 2026, with employment types broken down into 71% Full Time, and 29% Contract. Highlights an 100% Remote job distribution.

Cloud Data Architect

Data Ideology

Pittsburgh, PA • Remote

$65.25 - $84/hr

Contractor

Re-posted 4 days ago


Job description

Data Ideology
At DI, we provide Data & Analytics expertise to drive measurable business outcomes, often solving complex business problems for our clients. Our data analytics advisory services enable our customers to transform data into insights by driving a culture of empowerment and ownership of results. Our team consists of highly motivated individuals passionate about learning, understanding, collaborating, and intellectually curious. For more information about Data Ideology, visit www.dataideology.com.
Cloud Data Architect
We are always looking to connect with top talent! We are seeking a skilled and collaborative Cloud Data Architect to help drive ongoing data modernization efforts. This role is responsible for designing and enabling modern cloud data platforms, integrating enterprise systems, and building semantic data models that support critical business functions across the organization. If you're passionate about cloud architecture, scalable data solutions, and helping organizations transform their data ecosystems, we'd love to connect with you.
Key Responsibilities

  • Own the architecture for cloud-native data platforms, including Lakehouse designs (Delta Lake, Iceberg, Databricks, or Microsoft Fabric) that support reporting, analytics, and BI.
  • Design scalable data models supporting enterprise platforms, including ERP, financial, operational, and project management systems.
  • Lead modernization initiatives for legacy data environments, including migration strategy, data mapping/transformation, reconciliation, and cutover to production.
  • Build frameworks for real-time and near real-time data ingestion and processing, alongside batch pipelines (ELT/ETL).
  • Drive decisions across storage, orchestration, data quality, reliability, and performance.
  • Define semantic data models that enable self-service analytics and consistent reporting, in coordination with data governance, metadata management, and master data management (MDM) standards.
  • Partner with business and technical stakeholders across functional areas to prioritize requirements and translate them into architectural decisions.
  • Support secure, governed data access in coordination with Identity and Access Management (IAM) teams.
  • Evaluate emerging technologies, including AI, and identify opportunities to apply them within the data ecosystem; help shape the long-term technical roadmap.
  • Mentor junior architects and data management staff, and translate complex technical concepts into clear, business-friendly language for technical and non-technical audiences alike.
Qualifications
  • 8+ years of experience in data architecture, data modeling, or cloud data engineering, with demonstrated ownership of architecture decisions.
  • Hands-on experience designing and implementing cloud data solutions using Snowflake, Azure, AWS, and/or Databricks.
  • Deep understanding of distributed systems, data architecture, and modern cloud infrastructure.
  • Experience with Lakehouse architecture and platforms (Delta Lake, Apache Iceberg, Apache Hudi).
  • Demonstrated success designing semantic data models for reporting and analytics at scale.
  • Experience leading or supporting large-scale data migrations, from discovery through cutover, and building systems from concept through production.
  • Experience supporting low-latency or high-volume data environments is highly desirable.
  • Strong grounding in modern data warehousing, ELT/ETL, and cloud architecture best practices.
  • Proven ability to navigate ambiguity, influence technical direction, and drive clarity across cross-functional teams, balancing strategic vision with hands-on execution.
  • Excellent communication, presentation, and stakeholder management skills.
Preferred Qualifications
  • Deep experience with data governance, metadata management, MDM, and data quality frameworks.
  • Familiarity with data catalog tools (e.g., Purview, Collibra, Alation).
  • Track record supporting enterprise data modernization, migration, or cloud transformation initiatives.
Work Environment: 
  • Remote work from home. 
  • Hours of work and days are generally Monday through Friday. Specific business hours will depend on client needs. 
Physical Demands: 
  • Must be able to remain in a stationary position 50% of the time. 
  • The person in this position must occasionally move about inside the office to access file cabinets, library stacks, office machinery, etc. 
  • Constantly operates a computer and other office productivity machinery, such as a calculator, copy machine, and printer. 
  • The person in this position frequently communicates with clients and coworkers. Must be able to exchange accurate information in these situations. 

Data Ideology is an EEO Employer
 

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