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Remote Data Jobs in Pittsburgh, PA (NOW HIRING)

Data Ideology

Cloud Data Architect

Pittsburgh, PA · Remote

$65.25 - $84/hr

Remote work from home. * Hours of work and days are generally Monday through Friday. Specific ... Data Ideology is an EEO Employer Powered by JazzHR hQ8Bz5JGY3

Epistemix

Data Scientist

Pittsburgh, PA · Remote

The Data Scientist supports data integration and modeling for a portfolio of customers, supporting ... We are fully remote, with team members in the United States and Europe. Benefits include: * Equity ...

Data Ideology

Senior AI/ML Architect

Pittsburgh, PA · Remote

$68.75 - $92/hr

Our data analytics advisory services enable our customers to transform data into insights by ... Remote work from home. * Hours of work and days are generally Monday through Friday. Specific ...

Synopsys

Data Engineer / Architect

Canonsburg, PA · On-site +1

$152K/yr

... Remote Eligible Yes Base Salary Range: $152000 - $228000 Descriptions & Requirements and ... You are a talented Data Engineer / Architect with a passion for designing and delivering modern ...

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All JobsData JobsRemote Data JobsRemote Data Jobs in Pittsburgh, PA

Remote Data information

See Pittsburgh, PA salary details

$44.7K

$160.2K

$236.4K

How much do remote data jobs pay per year?

As of Aug 10, 2026, the average yearly pay for remote data in Pittsburgh, PA is $160,202.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,600.00 and $165,000.00 per year, depending on experience, location, and employer.

What are some common challenges faced when working as a remote data analyst, and how can they be addressed?

Remote Data Analysts often face challenges such as maintaining effective communication with team members, managing access to secure data, and staying aligned with project goals across different time zones. These can be addressed by leveraging collaboration tools like Slack or Microsoft Teams, following strict data security protocols, and participating in regular virtual meetings to ensure everyone is on the same page. Proactive communication and strong organizational skills are key to thriving in a remote data role.

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

AspectRemote DataRemote Data Analyst
Required CredentialsBachelor's in Data Science, Computer Science, or related field; knowledge of databases and data toolsBachelor's in Data Science, Statistics, or related; proficiency in data analysis tools like Excel, SQL, and visualization software
Work EnvironmentRemote, often independent, with collaboration via online platformsRemote, involves analyzing data sets, creating reports, and communicating findings
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceBusiness, marketing, finance, and tech sectors

Remote Data generally refers to roles focused on managing and processing data, while Remote Data Analyst emphasizes analyzing data to generate insights. Both roles often require similar educational backgrounds and work remotely, but Data Analysts typically focus more on interpreting data and creating reports for decision-making.

Are there real remote data entry jobs?

Yes, remote data entry jobs are available and involve inputting information into digital systems from home. These roles typically require basic computer skills, attention to detail, and sometimes familiarity with spreadsheet or database software. They are often part-time or flexible, making them accessible to a wide range of job seekers.

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

To thrive as a Remote Data Analyst, you need strong analytical skills, proficiency in statistics, and a background in data science or a related field. Familiarity with data analysis tools such as Python, R, SQL, and platforms like Tableau or Power BI, along with relevant certifications, is typically required. Excellent self-motivation, time management, and communication skills help you stand out in a remote environment. These capabilities are crucial for delivering accurate insights, collaborating effectively from a distance, and meeting business objectives efficiently.

What are remote data jobs?

Remote data jobs are positions that involve collecting, analyzing, managing, or interpreting data while working from a location outside the traditional office environment. These roles can include data analysts, data scientists, data entry specialists, and database administrators, among others. Remote data professionals use online tools and platforms to access and process data, collaborate with teams, and deliver insights or reports. This flexible work arrangement allows individuals to contribute to data-driven projects from anywhere with an internet connection.
What are the most commonly searched types of Data jobs in Pittsburgh, PA? The most popular types of Data jobs in Pittsburgh, PA are:
What are popular job titles related to Remote Data jobs in Pittsburgh, PA? For Remote Data jobs in Pittsburgh, PA, the most frequently searched job titles are:
What job categories do people searching Remote Data jobs in Pittsburgh, PA look for? The top searched job categories for Remote Data jobs in Pittsburgh, PA are:
What cities near Pittsburgh, PA are hiring for Remote Data jobs? Cities near Pittsburgh, PA with the most Remote Data job openings:
Remote Data jobs near you
Infographic showing various Remote Data job openings in Pittsburgh, PA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $160,202 per year, or $77 per hour.

Cloud Data Architect

Data Ideology

Pittsburgh, PA • Remote

$65.25 - $84/hr

Contractor

Re-posted 2 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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