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Remote Data Labeling Jobs in Mercer, PA (NOW HIRING)

Pharmacy Data Management

Senior Data Engineer

Poland, OH · On-site +1

$91K - $124K/yr

We offer transparent, pass-through pharmacy processing and other services for private label ... Fully remote opportunity with a company that cares. Key Responsibilities: * Design, develop ...

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Remote Data Labeling information

What is remote data labeling?

A Remote Data Labeling job involves annotating or categorizing data, such as images, text, audio, or video, to train machine learning models. Workers review and tag content based on specific guidelines provided by companies. This job is typically done online from home and requires attention to detail, consistency, and sometimes specialized domain knowledge. It plays a crucial role in improving artificial intelligence systems by providing high-quality labeled data.

What skills and qualifications are needed for remote data labeling?

To thrive as a Remote Data Labeling specialist, you need strong attention to detail, basic data analysis skills, and the ability to accurately tag and categorize diverse data types, often with a high school diploma or equivalent. Familiarity with data labeling platforms, annotation tools (such as Labelbox or Amazon SageMaker Ground Truth), and, occasionally, basic knowledge of data privacy standards is helpful. Time management, self-discipline, and effective remote communication are valuable soft skills in this position. These skills ensure that labeled data is accurate and reliable, supporting the success of machine learning and AI projects.

What are common challenges faced by remote data labelers, and how can they be managed?

Remote data labelers often face challenges such as maintaining focus during repetitive tasks, managing volume-based workloads, and interpreting ambiguous data with consistency. To manage these, it's important to set up a distraction-free workspace, take regular breaks to avoid fatigue, and seek clarification from supervisors or project guidelines when uncertainties arise. Most companies provide onboarding and ongoing support to help new labelers understand annotation standards and best practices. Collaborating with remote team members via chat or project management platforms also helps maintain quality and stay connected. By being proactive and utilizing available resources, remote data labelers can maintain high accuracy and productivity.

What cities near Mercer, PA are hiring for Remote Data Labeling jobs?

Cities near Mercer, PA with the most Remote Data Labeling job openings:

Remote Data Labeling jobs near you
Infographic showing various Remote Data Labeling job openings in Mercer, PA as of July 2026, with employment types broken down into 41% Full Time, 25% Part Time, 6% Temporary, and 28% Contract. Highlights an 100% Remote job distribution.

Senior Data Engineer (Remote)

Pharmacy Data Management, Inc.

Poland, OH • Remote

$108K - $147K/yr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

PDMI is looking to add a Senior Data Engineer to our team! This position is responsible for designing, developing, optimizing, and supporting enterprise data integration, reporting, and analytics solutions. The Senior Data Engineer plays a key role in modernizing the organization's data ecosystem by transitioning legacy SQL Server and SSRS solutions to a scalable, cloud-based architecture centered on Amazon Redshift, AWS data services, and Tableau. This position develops scalable ETL pipelines, data warehouse solutions, governed data products, and secure data delivery capabilities that enable reliable enterprise reporting, analytics, and self-service access to trusted business information.

Since 1984, PDMI has provided pharmacy data processing and otherflexible, scalable solutions to help our clients meet their businessobjectives. We offer transparent, pass-through pharmacy processing and other services for private label Pharmacy Benefit Managers (PBMs), vertically integrated healthplansand hospital systems. In addition to Pharmacy Benefit Administrative Services, we offer 340B Administration, Hospice and Long-Term Care Services.

Why Join Us:

  • Best Employer:PDMI was votedBestEmployer in Ohio for the 5th consecutive year in 2025!
  • Meaningful Work:Contribute to improving healthcare quality and efficiency.
  • Collaborative Environment:Work with passionate professionals who share your drive.
  • Exciting Challenges:Every day brings new opportunities to excel.
  • Flexible Work:Fully remote opportunity with a company thatcares.

Key Responsibilities:

  • Design, develop, optimize, and support scalable ETL pipelines and data integration solutions that enable enterprise reporting, analytics, and data delivery.
  • Develop and optimize complex SQL queries, stored procedures, data transformations, and data models across Amazon Redshift and Microsoft SQL Server environments.
  • Support the modernization of legacy SQL Server and SSRS reporting solutions by migrating data pipelines, reporting processes, and analytics capabilities to AWS-based architectures.
  • Design and maintain cloud-based data warehouse solutions using Amazon Redshift and related AWS services to support scalable, reliable, and high-performing data processing.
  • Develop governed data models, datasets, and data products that enable Tableau reporting, enterprise analytics, and self-service access to trusted business information.
  • Build and enhance scalable data extract, file delivery, and reporting solutions that reduce manual processes and improve the reliability and efficiency of enterprise data delivery.
  • Analyze and optimize ETL workflows, SQL queries, data models, and warehouse performance for large-scale datasets and complex reporting workloads.
  • Partner with business and technical stakeholders to gather requirements, understand reporting and data needs, and translate business requirements into scalable technical solutions.
  • Implement and maintain appropriate data security, role-based access controls, and governance standards across enterprise data and analytics solutions.
  • Monitor, troubleshoot, and resolve data pipeline, data quality, performance, and reporting issues while supporting critical legacy systems throughout modernization efforts.
  • Apply modern software development practices, including source control, code review, testing, CI/CD, documentation, and automation, to data engineering and analytics development.
  • Evaluate and leverage cloud-native services, automation, and AI-assisted development tools to improve development efficiency, monitoring, data operations, and analytics capabilities.
  • Collaborate with Data, Engineering, Product, and business teams to establish sustainable data solutions, reduce reliance on manual reporting and external development resources, and support the continued evolution of the enterprise data platform.

Work & Education Experience Requirements:

  • Bachelor's degree in Data Management, Information Systems, Computer Science, Analytics, or a related field required, or equivalent combination of education and experience.
  • 7+ years of experience in ETL development, data engineering, business intelligence, data warehousing, or a related discipline required.
  • Hands-on experience designing, developing, optimizing, and supporting enterprise data warehouse and ETL solutions, including Amazon Redshift, required.
  • Advanced SQL development expertise, including complex query development, data transformation, and performance optimization required.
  • Strong knowledge of data warehousing concepts, dimensional modeling, enterprise reporting architectures, and large-scale data processing required.
  • Experience gathering business requirements and translating them into scalable data integration, reporting, and analytics solutions required.
  • Experience with Microsoft SQL Server, including legacy data extraction and migration support, required.
  • Experience with SSRS reporting solutions and migrating legacy SQL Server/SSRS environments to modern cloud-based data platforms preferred.
  • Experience developing cloud-native data pipelines using AWS services such as Glue, S3, Lambda, Athena, ECS/EKS, or similar technologies preferred.
  • Experience developing Tableau dashboards, semantic data models, governed data products, and enterprise self-service analytics solutions preferred.
  • Experience implementing data governance, role-based security, Git, CI/CD pipelines, and modern software development practices preferred.
  • Experience within PBM, healthcare, pharmacy claims, 340B, rebate, or claims adjudication environments preferred.
  • Experience using AI-assisted development tools or developing AI-enabled automation, analytics, monitoring, or reporting solutions preferred.

AI Usage & Candidate Authenticity:

AI tools may be used forresumeformatting or drafting application materials; however,submittingcontent that misrepresents your experience, including copied job descriptions or unverifiable work history, is not acceptable. Candidates must be prepared to clearly and confidently speak to allexperiencelisted. PDMI may request work samples, portfolio links, or other forms of validation during the process. Use of AI tools during interviews or assessments, unless explicitlypermitted, will result in disqualification.

All offers are contingent upon successful completion of a pre-employment background check, including employment and education verification, as well as a 4-panel drug screen.