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Remote Computer Engineer Jobs in Hermitage, PA (NOW HIRING)

Spang & Company

Systems Sales Engineer

Sandy Lake, PA · On-site +1

This position offers remote work flexibility, provided you are located within approximately four ... Qualifications include a Bachelor's Degree in Electrical Engineering, Computer Science/Engineering ...

Spang & Company

Systems Sales Engineer

Sandy Lake, PA · On-site +1

  • Retirement

This position offers remote work flexibility, provided you are located within approximately four ... Qualifications include a Bachelor's Degree in Electrical Engineering, Computer Science/Engineering ...

Pharmacy Data Management

Senior Data Engineer

Poland, OH · On-site +1

$91K - $124K/yr

Fully remote opportunity with a company that cares. Key Responsibilities: * Design, develop ... Bachelor's degree in Data Management, Information Systems, Computer Science, Analytics, or a ...

All JobsComputer Engineer JobsRemote Computer Engineer JobsRemote Computer Engineer Jobs in Hermitage, PA

Remote Computer Engineer information

See Hermitage, PA salary details

$44.3K

$111K

$125.6K

How much do remote computer engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for remote computer engineer in Hermitage, PA is $111,003.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,900.00 and $120,100.00 per year, depending on experience, location, and employer.

What is a remote computer engineer?

A Remote Computer Engineer is a professional who designs, develops, tests, and maintains computer systems and software while working remotely. They may specialize in areas such as software development, network engineering, cybersecurity, or cloud computing. These engineers collaborate with teams using online tools, troubleshoot technical issues, and ensure systems run efficiently. Remote work allows flexibility but requires strong communication skills and self-discipline. Many companies hire remote computer engineers to reduce costs and access global talent.

What are some common challenges faced by remote computer engineers, and how can they be overcome?

Remote computer engineers often encounter challenges such as coordinating across different time zones, maintaining clear communication with colleagues, and staying motivated without direct in-person supervision. Overcoming these challenges typically involves proactive scheduling, frequent updates via team messaging tools, and focusing on structured routines to manage tasks independently. Many companies also offer virtual stand-ups, regular check-ins, and supportive remote work cultures to foster connection and keep team members engaged. With the right strategies and tools, remote engineers can collaborate effectively and thrive in their roles.

What are the key skills and qualifications needed to thrive in the remote computer engineer position, and why are they important?

To thrive as a Remote Computer Engineer, you need strong programming skills, problem-solving abilities, and a degree in computer science or a related field. Experience with collaboration platforms (like Git, Jira, or Slack), cloud technologies, and relevant certifications such as AWS or CompTIA Network+ is often required. Excellent time management, self-motivation, and written communication skills are crucial for successful remote work. These qualities enable consistent productivity, seamless teamwork, and effective project delivery in a decentralized environment.

What job categories do people searching Remote Computer Engineer jobs in Hermitage, PA look for?

The top searched job categories for Remote Computer Engineer jobs in Hermitage, PA are:

What cities near Hermitage, PA are hiring for Remote Computer Engineer jobs?

Cities near Hermitage, PA with the most Remote Computer Engineer job openings:

Remote Computer Engineer jobs near you
Infographic showing various Remote Computer Engineer job openings in Hermitage, PA as of August 2026, with employment types broken down into 67% Full Time, 26% Part Time, and 7% Contract. Highlights an 100% Remote job distribution, with an average salary of $111,003 per year, or $53.4 per hour.

Senior Data Engineer (Remote)

Pharmacy Data Management, Inc.

Poland, OH • Remote

$108K - $147K/yr

Full-time

This job post has expired today. 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.