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Remote Data Processing Jobs in Pittsburgh, PA (NOW HIRING)

Karoo Health

Senior Data Engineer

Pittsburgh, PA · On-site +1

$102K - $139K/yr

Build and maintain complex, production-grade data pipelines to ingest, process, and enrich large ... Possibly fully remote work environment with flexible hours * Health benefits, learning stipends ...

Data Ideology

Cloud Data Architect

Pittsburgh, PA · Remote

$65.25 - $84/hr

Build frameworks for real-time and near real-time data ingestion and processing, alongside batch ... Remote work from home. * Hours of work and days are generally Monday through Friday. Specific ...

Data Ideology

Sr. Data Engineer (Snowflake)

Pittsburgh, PA · Remote

$117K - $140K/yr

... process to understand requirements, shape solutions, and then lead the delivery of high-quality ... Remote work from home. * Hours of work and days are generally Monday through Friday. Specific ...

Data Ideology LLC

Cloud Data Architect

Pittsburgh, PA · On-site +1

$62 - $79.50/hr

Build frameworks for real-time and near real-time data ingestion and processing, alongside batch ... Remote work from home. * Hours of work and days are generally Monday through Friday. Specific ...

Data Ideology LLC

Sr. Data Engineer (Snowflake)

Pittsburgh, PA · On-site +1

$111K - $133K/yr

... process to understand requirements, shape solutions, and then lead the delivery of high-quality ... Remote work from home. * Hours of work and days are generally Monday through Friday. Specific ...

Huntington

Segment Data Officer - 3

Pittsburgh, PA · On-site +1

$125K - $255K/yr

Responsible for data-related controls on systems that support segment processes and customers ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

JLL

Data Collection Specialist II

Pittsburgh, PA · Remote

... processing, spreadsheet functions, communications, project tracking, etc. * Excellent time ... Remote -Boston, MA, Chicago, IL, Cleveland, OH, Dallas, TX, Indianapolis, IN, JERSEY CITY, NJ, Las ...

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Remote Data Processing information

See Pittsburgh, PA salary details

$11

$19

$33

How much do remote data processing jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for remote data processing in Pittsburgh, PA is $19.67, according to ZipRecruiter salary data. Most workers in this role earn between $15.62 and $21.68 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 the most commonly searched types of Data Processing jobs in Pittsburgh, PA?

The most popular types of Data Processing jobs in Pittsburgh, PA are:

What are popular job titles related to Remote Data Processing jobs in Pittsburgh, PA?

For Remote Data Processing jobs in Pittsburgh, PA, the most frequently searched job titles are:

What job categories do people searching Remote Data Processing jobs in Pittsburgh, PA look for?

The top searched job categories for Remote Data Processing jobs in Pittsburgh, PA are:

What cities near Pittsburgh, PA are hiring for Remote Data Processing jobs?

Cities near Pittsburgh, PA with the most Remote Data Processing job openings:

Remote Data Processing jobs near you
Infographic showing various Remote Data Processing job openings in Pittsburgh, PA as of August 2026, with employment types broken down into 57% Full Time, and 43% Contract. Highlights an 100% Remote job distribution, with an average salary of $40,923 per year, or $19.7 per hour.

Senior Python Developer (AWS | Data Modernization | API Integration)

3B Staffing LLC

Pittsburgh, PA • Remote

$113K - $152K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Senior Python Developer (AWS | Data Modernization | API Integration)

6+ months, high chance of extensions, maybe conversion - fully remote - need recent/current asset management experience / investment industry experience

We are seeking a Senior Python Developer to lead the modernization of legacy SQL-based data processing into scalable, cloud-native solutions. This role will focus on converting complex SQL stored procedures into Python, redesigning data pipelines to consume and process data from SaaS APIs, and building an AWS-native architecture that supports scalable API services and efficient data storage.

Key Responsibilities

  • Lead the conversion of complex SQL stored procedures into clean, efficient, and maintainable Python applications.
  • Design and develop backend data processing solutions that consume, transform, and manage data from SaaS APIs.
  • Architect scalable data storage solutions to support modern API-driven applications and optimize data access patterns.
  • Build and deploy cloud-native applications using AWS services including S3, Lambda, RDS, EC2, and EKS.
  • Design, implement, and maintain GitLab CI/CD pipelines for automated testing and deployment.
  • Automate infrastructure provisioning using Terraform and Infrastructure as Code (IaC) best practices.
  • Collaborate with software engineers, DevOps, DBAs, and business stakeholders to deliver project milestones.
  • Troubleshoot production issues, optimize application performance, and support all phases of the software development lifecycle.
  • Document system architecture, workflows, and technical best practices while identifying opportunities for process improvements.

Required Qualifications

  • Strong experience converting SQL stored procedures into Python for enterprise applications.
  • Advanced Python development experience focused on backend services, data processing, and automation.
  • Experience integrating with RESTful SaaS APIs and designing scalable API-driven architectures.
  • Hands-on expertise with AWS including S3, Lambda, RDS, EC2, and EKS.
  • Experience designing cloud-based data storage and processing solutions.
  • Strong experience with GitLab CI/CD pipelines and automated deployment practices.
  • Proficiency with Terraform and Infrastructure as Code.
  • Excellent problem-solving, communication, and collaboration skills within Agile development environments.

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