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

Adjunct Faculty Remote Employment: Remote Optional Job Number: 515 Department: Data Science ... process. Employment is contingent upon the successful results of an employment background screening.

Senior Applied AI Engineer

Philadelphia, PA ยท On-site +1

$105K - $144K/yr

... the remote option.) Job Summary We're seeking a Senior Applied AI Engineer to join our Cloud ... Experience with PostgreSQL, data modeling, ORM frameworks, and scalable data processing systems.

Senior Applied AI Engineer

Philadelphia, PA ยท On-site +1

$105K - $144K/yr

... the remote option.) Job Summary We're seeking a Senior Applied AI Engineer to join our Cloud ... Experience with PostgreSQL, data modeling, ORM frameworks, and scalable data processing systems.

Director of InfoSec & Data Privacy

Exton, PA ยท On-site +1

$175K - $190K/yr

Build scalable security, governance, and compliance processes that support continued growth This ... Experience supporting hybrid or remote environments and cloud-native application development ...

As a Data Analyst, you will partner closely with Data Scientists and cross-functional stakeholders to tackle complex, ambiguous analytical problems, focusing on the operationalization and maintenance ...

Showing results 41-60

Remote Data Processing information

See Media, PA salary details

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$20

$34

How much do remote data processing jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for remote data processing in Media, PA is $20.17, according to ZipRecruiter salary data. Most workers in this role earn between $16.01 and $22.26 per hour, depending on experience, location, and employer.

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

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

Infographic showing various Remote Data Processing job openings in Media, PA as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, 1% Temporary, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $41,945 per year, or $20.2 per hour.

Senior Data Architect | $125-$150/hr contract + Remote | US HealthTech IT Services Company

PhillyTech.Co

Philadelphia, PA โ€ข Remote

Full-time

Posted 29 days ago


Job description

Company Description

This is a fully remote full time 1099 contract role for 9-12 months.
ARE YOU READY TO TAKE THE HEALTHCARE SYSTEMS TO THE NEXT LEVEL?

THIS IS A CAREER DEFINING, EXCITING, AND HYPER GROWTH OPPORTUNITY FOR THE RIGHT PERSON.

Our client is an award winning HealthTech IT services company that provides digital health and AI development solutions for a variety of enterprises, ranging from startups to Fortune 20 companies. Their core focus is to democratize digital healthcare through open source solutions that expand the delivery and lower the costs of care.

Our client has designed and built systems for over 100 companies including Penn Medicine, Merck, Tomorrow Health, and many others. They have also been honored with many awards for their work including Fast Company World Changing Ideas, Fast Company Innovation By Design, Digital Health Awards, MobileWebAwards Best Mobile Application, Daveys Mobile Gold, and Daveys Health Services Gold.

Company Culture + Perks

Our client prides itself on having a diverse, inclusive team that values different viewpoints and types of expertise. If you have the desire to learn, grow, and lead, this is the right place for you. Our client has big ideas and is looking for big thinkers! Benefits of working with our client include:

  • Team oriented, collaborative environment encouraging continuous learning and ambition.
  • A Macbook will be provided to you for your business activities.
  • Flexible work schedule.
Job Description

Our client is looking for a Data Architect to lead the evolution of a next generation integrated care platform supporting multiple partners, customers, programs, and clinical conditions through a single configurable interface. 
This role is responsible for designing and governing enterprise data architecture across clinical, operational, financial, and analytical systems while developing scalable data platforms, integration strategies, and data governance practices. Working closely with Product, Engineering, Clinical Operations, Analytics, and business stakeholders, the Data Architect will deliver secure, reliable, and high performing data solutions that support organizational growth and innovation. Responsibilities include:

  • Design and implement enterprise data architecture for an integrated care platform.
  • Architect scalable enterprise data platforms for clinical, operational, reporting, and analytics needs.
  • Leverage AI technologies to improve system design, development, and operational efficiency.
  • Design and maintain enterprise data models and integration solutions across Microsoft Dynamics, EHR/EMR, claims, and third party systems.
  • Develop and oversee ETL/ELT processes for reliable data ingestion, transformation, validation, and distribution.
  • Establish data governance, data quality, metadata management, and master data management standards.
  • Collaborate with Engineering to build modern cloud based data solutions using Azure, including data lake and data warehouse architectures.
  • Ensure data solutions comply with HIPAA, HITRUST, privacy, security, and regulatory requirements.
  • Partner with business stakeholders to translate strategic objectives into scalable data solutions.
Qualifications
  • 8-10+ years of experience designing and implementing enterprise data platforms and architectures with Python, Azure platforms, and SQL.
  • Must have healthcare data management experience.
  • Extensive Azure Data Platform tech experience, including Azure Data Factory, Azure Functions, Power Platform, Azure Synapse Analytics, Azure SQL, Azure Data Lake Storage, and Databricks.
  • Strong experience designing data warehouses, data lakes, lakehouse architectures, and enterprise reporting platforms.
  • Proven experience creating and utilizing HTTP web service APIs, webhooks, and GraphQL.
  • Deep understanding of data modeling methodologies, including dimensional modeling, normalized designs, and modern analytical data structures.
  • Experience with business intelligence platforms such as Tableau, Power BI, and Microsoft Fabric.  
  • Experience with healthcare data standards and operational healthcare datasets is strongly preferred.
  • Strong understanding of data governance, data quality management, metadata management, and master data management principles.
  • Excellent written and verbal communication skills.

Additional Information

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Reach out to us at www.saas-talent.com to learn more about how we can help you.

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