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

Karoo Health

Senior Data Engineer

Pittsburgh, PA · On-site +1

$150K - $175K/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 ...

OpenLiteracy

Data and Technology Manager

Pittsburgh, PA · Remote

$35 - $50/hr

... Remote . Work from anywhere in the U.S. with a flexible schedule. Meaningful, Focused Work. You'll take ownership of a specific set of technical Google-based tools and data processes that directly ...

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 ...

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All JobsData Processing JobsRemote Data Processing JobsRemote Data Processing Jobs in Pittsburgh, PA

Remote Data Processing information

See Pittsburgh, PA salary details

$11

$19

$33

How much do remote data processing jobs pay per hour?

As of Jul 26, 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.

How can I make 2000 a week working from home?

Remote data processing jobs can offer high earning potential, especially for experienced professionals who handle large datasets, use specialized tools, and meet project deadlines. To earn $2000 weekly, you may need to work multiple projects, develop strong skills in data analysis and processing, and possibly obtain relevant certifications. Consistent high-quality work and efficient time management are essential for reaching this income level remotely.

Are there real remote data entry jobs?

Yes, remote data entry jobs are available and involve inputting information into digital systems from home or other remote locations. These roles typically require basic computer skills, attention to detail, and sometimes familiarity with data management tools like spreadsheets or databases.

How to make $1000 a week remotely?

Remote data processing jobs can pay $1000 or more per week depending on experience, workload, and project complexity. To achieve this, professionals often work multiple projects, develop specialized skills in data analysis or automation, and utilize platforms that connect freelancers with clients. Consistent high-quality work and efficient time management are essential for reaching this income level.

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 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 jobs pay 4000 a week without a degree?

Remote data processing roles can pay around $4,000 per week for experienced professionals, especially those with strong skills in data analysis, programming, or automation. These jobs often require proficiency in tools like Python, SQL, or cloud platforms and may involve freelance or contract work with flexible schedules. High earnings typically depend on expertise, project complexity, and workload volume.

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, and why are they important?

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 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 July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $40,923 per year, or $19.7 per hour.
Senior Data Engineer

Senior Data Engineer

Karoo Health

Pittsburgh, PA • On-site, Remote

$150K - $175K/yr

Full-time

Posted 11 days ago

Job description

An Industry Defining Company
Karoo is a venture-backed startup, prior to Series A, on a mission to transform cardiovascular care. Our platform is designed to empower large provider groups and health systems to succeed in value-based care contracts with payers by improving patient outcomes and reducing cost of care through better coordination, analytics, and disease management. While our initial focus is cardiology, we are building a scalable operating system for managing complex conditions across the healthcare spectrum.
This is a rare opportunity to join a mission-driven founding team at a pivotal stage and help define the future of healthcare technology, with the power to improve the lives of patients with cardiovascular disease, the number one cause of death in America today.
The Role
Karoo Health is seeking a skilled and dedicated developer to join our Engineering team. As a software engineer at Karoo Health, you show a clear passion for quality and love to bring software to life. You are energized by the idea of building something new and want to work on problems that matter.
In order to do this job well, you must be a curious and eager problem solver with a hunger for building well-designed, high-quality solutions. You have a passion for great work and strive to produce simple solutions to complex problems. Knowing there are always multiple answers to a problem, you know how to engage in a constructive dialogue to find the best path forward.
When applying, please include a description of why you're interested in this role.
What You'll Do
  • Design and Architect Data Systems: Lead the design, construction, installation, and optimization of highly reliable, scalable, and secure data architecture.
  • Develop Data Pipelines: Build and maintain complex, production-grade data pipelines to ingest, process, and enrich large volumes of healthcare data.
  • Data Quality and Governance: Establish and enforce data quality standards, monitoring, and validation processes to ensure the accuracy, completeness, and consistency of data used for analytics.
  • Performance Optimization: Implement query tuning, indexing, and partitioning strategies to maximize the performance and efficiency of data processing systems and data retrieval.
  • Cloud Infrastructure: Design and deploy scalable, secure, cloud infrastructure leveraging infrastructure-as-code best practices.
  • Safeguard Data: Ensure strict compliance with healthcare data regulations (e.g., HIPAA, HITRUST) and implement data security best practices.

What We're Looking For
  • Bachelor's degree in Computer Science, Software Engineering, or related field, or equivalent work experience
  • Minimum 5 years of dedicated professional experience in a Data Engineering role, preferably within a startup or fast-paced healthcare technology environment.
  • Expert proficiency in SQL and at least one programming language used for data processing (Python or Scala).
  • Deep experience designing and managing Data Warehouses (e.g., Snowflake, Google BigQuery, AWS Redshift) and experience with Data Lake technologies (e.g., S3, Delta Lake).
  • Demonstrated hands-on experience with Big Data processing frameworks like Apache Spark or Dask.
  • Deep understanding of cloud platforms (AWS preferred) and cloud-native development, including services like S3, Lambda, and RDS.
  • Hands-on experience with workflow orchestration tools such as Apache Airflow or AWS Step Functions for managing data pipelines.
  • Expert knowledge of system architecture, scalability, and performance optimization for data systems.
  • Experience with test automation, CI/CD, and DevOps best practices for data deployments.
  • Ability to work independently and make high-impact technical decisions.
  • Must be legally authorized to work in the United States and not require employer sponsorship now or in the future

Why Join Us
  • Competitive salary and equity in an early-stage startup. The starting salary for this role is between $150K - $175K annually based on factors such as cost of living, experience, etc.
  • Opportunity to define the technical solution from the ground up
  • Possibly fully remote work environment with flexible hours
  • Health benefits, learning stipends, and professional development support
  • A collaborative and transparent company culture that values creativity and ownership

Equal Opportunity Statement
At Karoo Health Inc ("Karoo"), we believe that improving healthcare starts with creating a more equitable and inclusive world, both inside and outside our organization. We are committed to fostering a diverse workforce that reflects the communities we serve, and to building a culture where every team member feels valued, supported, and empowered. Our commitment to inclusion is reflected in initiatives such as equitable compensation practices, employee resource groups, inclusive benefits, and more.
Karoo Health is proud to be an equal opportunity employer. We maintain a strict policy of non-discrimination for all applicants and employees. What does that mean for you? It means that we are dedicated to providing a workplace that is inclusive, respectful, and free from discrimination or harassment of any kind.
Employment decisions at Karoo Health are made based on merit, qualifications, and business need, without regard to race, religion, color, national origin, sex, sexual orientation, gender identity or expression, age, disability, marital status, veteran status, political affiliation, or any other characteristic protected under applicable law. This policy applies to every aspect of the employment journey, from recruitment and hiring to compensation, benefits, training, promotion, performance evaluation, and beyond.
We're committed to doing the right thing, always, and that includes creating a fair and inclusive hiring process and workplace for all.
Karoo Health welcomes all.
In the United States, compensation is determined by factors including location, role level, job-related skills, experience, and market conditions. Some positions may also be eligible for bonuses, equity, or other benefits. To learn more about Karoo Health's benefits, please contact our People Team.

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