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Remote Viewer Jobs in Pennsylvania (NOW HIRING)

CEI

Databricks Architect

Pittsburgh, PA · On-site +1

Hybrid in Pittsburgh, PA 15205 ( 3 Days On-Site / 2 Days Remote ) | OR | Remote (1st pref-EST; 2nd ... views, performance tuning, and enabling consumption through BI tools such as Power BI and Tableau ...

Comcast

Senior Cybersecurity Engineer

Philadelphia, PA · On-site +1

$115K - $158K/yr

... viewers, and guests worldwide. Become part of our award-winning technology team that turns big ... remote option.) Job Summary The CONNECT Cybersecurity & Privacy team partners across Comcast ...

Birgo

Client Services Representative

Pittsburgh, PA · On-site +1

$50K - $60K/yr

... profile details, or viewing investment performance). * Assist investors who have questions ... We prefer someone based in Pittsburgh, but we will consider remote candidates on a case-by-case ...

Comcast

Senior Cybersecurity Engineer

Philadelphia, PA · On-site +1

$115K - $158K/yr

... viewers, and guests worldwide. Become part of our award-winning technology team that turns big ... remote option.) Job Summary The CONNECT Cybersecurity & Privacy team partners across Comcast ...

Birgo

Client Services Representative

Pittsburgh, PA · On-site +1

$50K - $60K/yr

... profile details, or viewing investment performance). * Assist investors who have questions ... We prefer someone based in Pittsburgh, but we will consider remote candidates on a case-by-case ...

Comcast

Senior ServiceNow Engineer

Philadelphia, PA · On-site +1

... viewers, and guests worldwide. Become part of our award-winning technology team that turns big ... remote option.) Job Summary Comcast Business provides connectivity, voice, managed services, and ...

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Showing results 21-40

All JobsViewer JobsRemote Viewer JobsRemote Viewer Jobs in Pennsylvania

Remote Viewer information

See Pennsylvania salary details

$56.1K

$125K

$176.4K

How much do remote viewer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for remote viewer in Pennsylvania is $125,031.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,800.00 and $143,300.00 per year, depending on experience, location, and employer.

What is a remote viewer?

Remote viewers are individuals who use a mental technique called remote viewing to gather information about a target, location, object, or event that is hidden from physical view or located at a distance. This practice was originally developed for military and intelligence purposes, but is now sometimes used in research, investigations, or personal development. Remote viewing typically involves focusing the mind, sometimes with specific protocols, to perceive details without using the traditional five senses. While some people believe in its effectiveness, scientific evidence supporting remote viewing remains limited and controversial. Many remote viewers work independently or as part of specialized investigative teams.

What are the key skills and qualifications needed to thrive as a remote viewer, and why are they important?

To thrive as a Remote Viewer, you need strong observational skills, pattern recognition, and attention to detail, often supported by training in intelligence analysis or investigative techniques. Experience with specialized software for image analysis, mapping tools, and secure communication systems is typically required. Analytical thinking, perseverance, and clear written communication are key soft skills that set top performers apart in this field. These competencies are crucial for accurately interpreting remote data, producing actionable insights, and supporting decision-making in areas such as security or research.

What are some common challenges remote viewers face when working independently, and how can they stay engaged with their team?

Remote viewers often work in solitary environments, which can lead to feelings of isolation or difficulty staying motivated. To remain engaged with their team, it's important to participate in regular virtual check-ins, share progress updates, and seek feedback on assignments. Building a routine and setting clear goals can help maintain focus, while using collaborative tools ensures alignment with project objectives. Open communication with team members fosters a sense of community and helps overcome the challenges of remote work.

Can you get paid for remote viewing?

Remote viewing is a skill sometimes offered as a service by individuals or companies, and they can get paid for providing remote viewing insights or reports. Payment depends on the client, project scope, and the viewer's experience, with some earning income through freelance platforms or direct contracts. However, remote viewing is not a widely recognized or regulated profession, so earnings can vary significantly.

What are popular job titles related to Remote Viewer jobs in Pennsylvania?

For Remote Viewer jobs in Pennsylvania, the most frequently searched job titles are:

What job categories do people searching Remote Viewer jobs in Pennsylvania look for?

The top searched job categories for Remote Viewer jobs in Pennsylvania are:

What cities in Pennsylvania are hiring for Remote Viewer jobs?

Cities in Pennsylvania with the most Remote Viewer job openings:

Remote Viewer jobs near you
Infographic showing various Remote Viewer job openings in Pennsylvania as of August 2026, with employment types broken down into 80% Full Time, 10% Part Time, and 10% Temporary. Highlights an 10% In-person, and 90% Remote job distribution, with an average salary of $125,031 per year, or $60.1 per hour.

Databricks Architect

CEI

Pittsburgh, PA • On-site, Remote

Full-time

Re-posted 15 days ago

Job description

CEI is seeking a Databricks Architect to join our growing organization!
Client/Industry: CEI – AI / IT Solutions/Consulting and Professional Services
Job Title: Databricks Technical Architect
Location: Hybrid in Pittsburgh, PA 15205 (3 Days On-Site / 2 Days Remote) | OR | Remote (1st pref-EST; 2nd pref-CST)
Work Schedule/Shift: Monday to Friday, Standard business hours | Minimum expectation of ~40 work hours per week.
Duration/Length of Assignment: W2 Direct Hire / Full Time
Compensation: Competitive pay (Salary) | Benefits available (optional) [Medical, Dental, Vision, and 401(k) match]
Position Overview:
This role supports CEI’s continued evolution into an AI-first engineering and transformation company by building and scaling enterprise-grade data platforms that enable analytics, reporting, and AI/ML initiatives. The position sits within CEI’s Solutions and Engineering organization, working alongside data engineering, analytics, governance, and business teams to deliver a modern Lakehouse platform. The individual will act as a senior technical leader, partnering across multiple stakeholders while guiding a team of data engineers and contributing directly to architectural decisions and implementation. The role operates within a collaborative, cross-functional environment where engineering standards, governance, and platform scalability are core priorities. At a high level, this individual will design and implement end-to-end data solutions, establish platform standards, and ensure the data ecosystem supports both analytical and AI-driven use cases. The expectation is to balance architecture ownership with hands-on development, contributing directly to platform buildout, optimization, and governance. This role requires consistent collaboration with internal teams, active participation in architecture discussions, and ongoing mentorship of engineers while ensuring delivery of reliable, scalable, and cost-efficient data solutions.

Required Skills/Experience/Qualifications:
  • 8–12+ years of experience in data engineering, data architecture, or related roles
  • 3+ years of hands-on production experience with Databricks
  • Strong expertise in Apache Spark using PySpark and Spark SQL
  • Experience designing and implementing Lakehouse architectures using Delta Lake and medallion (Bronze/Silver/Gold) patterns, with a strong grasp of partitioning, Z-ordering, liquid clustering, and Delta optimization techniques
  • Experience with Unity Catalog including governance design, access control, and data lineage
  • Implementation experience on at least one major cloud platform: AWS, Azure, or GCP
  • Experience implementing infrastructure-as-code using Terraform and/or Databricks Asset Bundles
  • Experience building and managing CI/CD pipelines for data engineering workflows (Git-based, with environment promotion)
  • Strong understanding of data modeling approaches including dimensional modeling and Data Vault
  • Experience with ETL/ELT patterns and distributed data systems
  • Experience with cost optimization and performance tuning within Databricks environments at scale
  • Understanding of data governance, security, and compliance principles and ability to implement them within platform design

Preferred Skills (Not Required):
  • Scala is a plus but not required
  • Databricks certifications such as Data Engineer Professional or Solution Architect
  • Experience with Structured Streaming and event-driven architectures (Kafka, Event Hubs, Kinesis, Pub/Sub)
  • Experience with ingestion frameworks such as Lakeflow Connect
  • Familiarity with MLflow, feature stores, and ML platform integrations
  • Experience supporting BI tools such as Power BI or Tableau at scale, including semantic modeling
  • Exposure to open table formats such as Iceberg or Delta UniForm and Delta Sharing.
  • Experience working within regulated industries such as healthcare, financial services, or public sector

Day to Day/Responsibilities:
  • Architect end-to-end data solutions within Databricks, spanning ingestion, transformation, governance, and serving layers using the medallion (Bronze/Silver/Gold) architecture pattern on Delta Lake
  • Lead hands-on development of production data pipelines using PySpark and Spark SQL, with Scala leveraged where appropriate, ensuring code quality, scalability, and performance across workloads
  • Perform code reviews and establish engineering standards through reusable frameworks and reference implementations to ensure consistency across the platform
  • Own and design Unity Catalog structures, including catalog and schema organization, access controls, row- and column-level security, data classification, lineage tracking, and audit capabilities
  • Partner directly with data governance teams to translate business policies into enforceable platform-level controls within Databricks
  • Define and implement the data serving layer strategy using Databricks SQL, including materialized views, performance tuning, and enabling consumption through BI tools such as Power BI and Tableau, including semantic modeling
  • Establish platform-as-code practices using Terraform and/or Databricks Asset Bundles, ensuring consistent infrastructure deployment and environment standardization
  • Design and operate CI/CD pipelines for notebooks, jobs, and infrastructure using Git-based workflows with environment promotion, supporting controlled releases across development, testing, and production environments
  • Define orchestration strategies using Databricks Workflows and Lakeflow Declarative Pipelines, integrating with tools such as Airflow when cross-platform orchestration is required
  • Own cost and performance governance across the platform, including cluster policies, serverless versus classic compute decisions, Photon usage, job versus all-purpose cluster strategy, and DBU budgeting/chargeback models
  • Collaborate with AI and ML teams to support platform integration with MLflow, feature engineering on Delta Lake, and emerging Databricks AI capabilities such as vector search and Mosaic, ensuring the platform supports model development and deployment
  • Provide technical leadership and mentorship to data engineers, acting as the primary Databricks subject matter expert across architecture discussions and cross-functional forums
About Us: CEI is an AI-first engineering and transformation company that designs, builds, and operationalizes production-grade AI and data solutions across enterprise environments. Originally established as an IT consulting and staffing firm, CEI has evolved into a technology partner focused on delivering enterprise-scale AI transformation, modern data platforms, and application development solutions. We work across industries including healthcare, financial services, utilities, retail, and manufacturing, supporting both mid-market and Fortune 1000 clients. CEI combines consulting, engineering, and delivery capabilities to not only define strategies but also build and implement solutions at scale. With a focus on integrating AI into core business operations, CEI enables organizations to modernize their technology landscape, improve decision-making, and generate measurable outcomes through advanced data and AI capabilities.
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