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Remote Packet Core Engineer Jobs in Pittsburgh, PA

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 ... engineering standards, governance, and platform scalability are core priorities. At a high level ...

Data Ideology LLC

Senior AI/ML Architect

Pittsburgh, PA · On-site +1

$65.25 - $87.25/hr

Collaborate with the Edge ML / Embedded Engineer on hardware constraint inputs that shape SLM ... IoT Core, KMS) and authoring complex Terraform modules with remote state management. * Deep ...

Data Ideology

Senior AI/ML Architect

Pittsburgh, PA · Remote

$68.75 - $92/hr

Collaborate with the Edge ML / Embedded Engineer on hardware constraint inputs that shape SLM ... IoT Core, KMS) and authoring complex Terraform modules with remote state management. * Deep ...

GFT.

Senior Civil/Structural Drafter - Substation

Pittsburgh, PA · On-site +1

$80K - $100K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Louis, MO , with remote consideration for qualified candidates. Joining the power team at GFT means ... Provide drafting support to civil and structural engineers and senior drafters/designers. * Develop ...

Ventura Community Partners

Marketing Manager

Pittsburgh, PA · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

S.) This is a fully remote position. To support coloration with our team, candidates must be ... The Marketing Manager demonstrates Ventura Community Partner core values through a commitment to ...

CCMC

Marketing Manager

Cleveland, OH · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

S.) This is a fully remote position. To support coloration with our team, candidates must be ... The Marketing Manager demonstrates Ventura Community Partner core values through a commitment to ...

SoftWriters, Inc.

Product Owner

Pittsburgh, PA · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The Product Team owns the core product experience and customer satisfaction while also serving as ... Lead release planning and coordinate delivery across engineering, QA, and cross-functional teams

RAND Corporation

AI Security Resident

Pittsburgh, PA · On-site +1

  • Medical

  • Life

  • PTO

... core values of quality and objectivity. Required: * Technical experience in security engineering ... Graduate of the Computer Network Operations Development Program (CNODP), Remote Interactive ...

New

Motional

Staff Technical Program Manager

Pittsburgh, PA · On-site +1

$144K - $191K/yr

This role will operate across our core machine learning capabilities--specifically partnering with ... Partner deeply with engineering and product leadership to ensure the ML and behaviors roadmap is ...

Deloitte

Netsuite Financials Consultant

Pittsburgh, PA · On-site +1

This role fits professionals across core financial accounting, procure-to-pay, or order-to-cash ... and remote * Prepare Business Requirements and Technical Scoping Documents for client approval

New

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All JobsPacket Core Engineer JobsRemote Packet Core Engineer JobsRemote Packet Core Engineer Jobs in Pittsburgh, PA

Remote Packet Core Engineer information

See Pittsburgh, PA salary details

$59.7K

$148.3K

$199.5K

How much do remote packet core engineer jobs pay per year?

As of Aug 15, 2026, the average yearly pay for remote packet core engineer in Pittsburgh, PA is $148,315.00, according to ZipRecruiter salary data. Most workers in this role earn between $138,800.00 and $153,900.00 per year, depending on experience, location, and employer.

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

To thrive as a Remote Packet Core Engineer, you need a strong understanding of mobile core network architectures (such as EPC, 4G/5G), IP networking, and telecommunications protocols, typically supported by a degree in engineering or computer science. Familiarity with tools like Wireshark, Cisco routers, virtualization platforms, and certifications such as CCNP or vendor-specific credentials (e.g., Nokia, Ericsson) is typically required. Excellent problem-solving, communication, and self-management skills are crucial for remote troubleshooting and effective collaboration. These skills and qualifications are essential to ensure reliable network performance, rapid issue resolution, and seamless integration of new technologies in a distributed work environment.

What are some common challenges faced by remote packet core engineers, and how can they be addressed?

Remote Packet Core Engineers often encounter challenges such as troubleshooting complex network issues without physical access to hardware, coordinating across multiple time zones, and maintaining high network performance and reliability. To address these challenges, strong communication skills, proficiency with remote diagnostic tools, and effective collaboration with onsite teams are essential. Proactive monitoring, thorough documentation, and continued learning about evolving network technologies also help in overcoming these obstacles and excelling in the role.

What is a remote packet core engineer?

A Remote Packet Core Engineer is a telecommunications professional responsible for designing, implementing, monitoring, and maintaining the core elements of mobile data networks, such as the Evolved Packet Core (EPC) in LTE or 5G Core in next-generation networks. These engineers often work remotely to support network infrastructure, troubleshoot issues, and optimize network performance to ensure seamless connectivity and data transmission. Their expertise is crucial for mobile service providers aiming to deliver reliable and high-speed wireless services to customers.

What are popular job titles related to Remote Packet Core Engineer jobs in Pittsburgh, PA?

For Remote Packet Core Engineer jobs in Pittsburgh, PA, the most frequently searched job titles are:

What job categories do people searching Remote Packet Core Engineer jobs in Pittsburgh, PA look for?

The top searched job categories for Remote Packet Core Engineer jobs in Pittsburgh, PA are:

What cities near Pittsburgh, PA are hiring for Remote Packet Core Engineer jobs?

Cities near Pittsburgh, PA with the most Remote Packet Core Engineer job openings:

Remote Packet Core Engineer jobs near you
Infographic showing various Remote Packet Core Engineer job openings in Pittsburgh, PA as of July 2026, with employment types broken down into 87% Full Time, and 13% Contract. Highlights an 100% Remote job distribution, with an average salary of $148,315 per year, or $71.3 per hour.

Databricks Architect

CEI

Pittsburgh, PA • On-site, Remote

Full-time

Re-posted 11 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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