Pittsburgh, PA

Data Jobs in Pittsburgh, PA

18 jobs found

Include remote jobs

Today

Agentic AI Engineer

System One Pittsburgh, PA

Pittsburgh, PA

Today

$170+/hr Contract Agentic Ai Agentic Ai Orchestration Ai Agents

Apply Now

Job Description

System One is hiring for an Agentic AI Engineer on a contract-to-hire basis in Pittsburgh, PA (onsite) with additional locations listed as Dallas, TX and Cleveland, OH.

Responsibilities

Develop AI agents that can support reasoning, planning, memory management, and autonomous task execution
Configure agent and workflow behavior in Azure Foundry and AWS Bedrock
Build prompt engineering components, agent orchestration, and tool-calling mechanisms
Create multi-agent workflows using frameworks such as LangChain, LangGraph, MCP Server, or Semantic Kernel
Design and implement Retrieval-Augmented Generation (RAG) pipelines for context-aware responses
Develop scalable backend services and APIs that support AI agent operations
Monitor agent performance, reliability, and response quality
Apply responsible AI practices including security, governance, observability, and compliance
Collaborate with data engineers, software developers, and business stakeholders to deliver AI-driven automation solutions

Requirements

Hands-on experience building agentic AI automation using Azure or AWS
2+ years of software development experience with agentic AI implementation
Strong experience with Azure Foundry and/or AWS Bedrock for agentic automation development
Proficiency in Python, SQL, and Pandas
Good exposure to agile testing processes
Excellent communication skills for working with stakeholders

Technologies

Azure Foundry
AWS Bedrock
LangChain
LangGraph
MCP Server
Semantic Kernel
Python, SQL, Pandas
RAG (Retrieval-Augmented Generation)

Compensation and Job Details

Location: Pittsburgh, PA (onsite)
Other listed locations: Dallas, TX and Cleveland, OH
Salary: USD 170 per hourly
Experience: Minimum 2 years
Type: Contract to hire

Benefits

Health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, and voluntary plans
Participation in a 401(k) plan

View full job page →

7d ago

Data Analyst

System One Pittsburgh, PA

Pittsburgh, PA

7d ago

$90+/hr Contract Analyst Analytics Business Analytics

Apply Now

Job Description

System One is hiring a Data Analyst for a contract-to-hire opportunity in the healthcare payer domain. This hybrid role is based in Pittsburgh, PA and focuses on turning data into practical, business-ready insights while working closely with both business and technical teams to keep analytics stable from testing through production.

What you’ll deliver

Collaborate with business and technical stakeholders to build scalable analytical solutions
Use SQL, ETL, and data management technologies to provide actionable business insights
Support testing and help ensure solutions are ready for production
Troubleshoot production issues and support complex data and information management initiatives
Improve data quality across analytical workflows
Develop technical documentation to support maintainability and clarity for teams

Responsibilities in the healthcare payer environment

You will support complex data, analytics, and information management efforts specific to healthcare payer needs. The role includes contributing to analysis workflows such as functional and gap analysis, along with requirements gathering and definition, then translating that work into clear technical artifacts and testing materials.

What you bring

Bachelor’s degree in Information Systems, Computer Science, Healthcare Informatics, or a related field
7+ years of experience as a Data Analyst in a Healthcare Payer environment
Advanced expertise in SQL, PL/SQL, and Oracle
5+ years of hands-on experience with ETL development and data engineering
5+ years of hands-on experience with Teradata
7+ years experience in Functional Analysis
7+ years experience in Gap Analysis
7+ years experience in Business Requirements Gathering & Definition
Experience creating Technical Specifications
Experience creating Test Cases, Test Plans, and supporting QA
Strong documentation, QA, analytical, troubleshooting, and stakeholder collaboration skills

Skills and tools

SQL, PL/SQL, Oracle, ETL, Teradata, SAS, and Microsoft Excel (including Pivot Tables), plus analytical reporting and business intelligence solutions.

Preferred qualifications

Experience with SAS
Advanced Microsoft Excel skills, including Pivot Tables
Experience with analytical reporting and business intelligence solutions

Compensation: USD 90 per hour. Job type: contract (contract-to-hire).

View full job page →

12d ago

Industrial Engineering Analytics Engineer

Laiba Techonology LLC Pittsburgh, PA

Pittsburgh, PA

12d ago

$50 - $55/hr Full time Analytics Business Analytics Data Analysis

Apply Now

Job Description

The Industrial Engineering Analytics Engineer position at Laiba Techonology LLC in Pittsburgh, PA (onsite) focuses on building integrated industrial engineering analytics models that connect manufacturing planning inputs to operational outcomes. The role emphasizes capacity, labor, manufacturing efficiency, cost optimization, and scalable data modeling using analytics and simulation tools.

Responsibilities

Develop integrated industrial engineering (IE) models that connect capacity, labor, material flow, PFEP, and cost (COGS) to support factory planning and operations
Develop and apply advanced analytical models to improve manufacturing efficiency, capacity planning, and cost optimization
Build capacity models including target versus forecast versus gated capacity, incorporating cycle time, OEE, yield losses, and bottleneck analysis
Create labor models to optimize headcount, utilization, and labor cost (LOH) across production systems
Create and evaluate business cases for capital investments, including ROI, IRR, NPV, and cost benefit analysis
Model COGS, including labor, overhead, scrap, and process-driven cost components
Design OEE models covering availability, performance, and quality to drive operational efficiency and continuous improvement
Develop process flow diagrams (PFDs) and value stream maps to represent manufacturing systems and identify inefficiencies
Design scalable data models and data architecture for IE, capacity, labor, PFEP, and cost analytics

Key Areas to Focus

IE background in greenfield
Capacity planning
Labor planning

Requirements

Minimum 7+ years of experience in industrial engineering analytics, manufacturing modeling, or operations analysis
IE background in greenfield
Experience using data analysis tools, including advanced Excel modeling, Python, SQL, and Power BI/Tableau

Technologies

FlexSim
Anylogic
Simio
Excel
Python
SQL
Power BI
Tableau

Location and Compensation

Location: Pittsburgh, PA (onsite)

Pay: USD 50 - 55 per hour

Experience: 7+ years

View full job page →

22d ago

Agentic AI Engineer Lead

CGI Group, Inc. Pittsburgh, PA

Pittsburgh, PA

22d ago

$57k - $154k/yr Full time Agentic Ai Ai Agents Ai Workflows

Apply Now

Job Description

At CGI Group, Inc., the Agentic AI Engineer Lead will shape the design and delivery of Agentic AI automation for a major US Bank. The role is onsite at client sites in Cleveland, OH, Pittsburgh, PA, or Dallas, TX, with a salary range of USD 57,100 to 154,300 per year. You will blend strategic roadmap work with hands-on development to build AI agents capable of reasoning, planning, memory management, and autonomous task execution.

Responsibilities

Perform the AI Intent lead role which combines Scrum Master and Product Owner roles, to envision the AI automation roadmap
Build AI agents capable of reasoning, planning, memory management, and autonomous task execution
Should have hands on workflow configuration in Azure Foundry/AWS Bedrock
Implement prompt engineering, agent orchestration, and tool-calling mechanisms
Develop multi-agent workflows using frameworks such as LangChain, LangGraph, MCP Server or Semantic Kernel
Design Retrieval-Augmented Generation (RAG) pipelines for context-aware AI responses
Develop scalable backend services and APIs to support AI agent operations
Monitor agent performance, reliability and response quality
Ensure responsible AI practices including security, governance, observability, and compliance
Collaborate with data engineers, software developers, and business teams to deliver AI-driven automation solutions

Requirements

Candidate should be good in AI Agents automation development process using Azure/AWS
Excellent in creating AI product roadmap and backlog maintenance
At least 5+ years in software development with Agentic AI implementation experience preferred
Must be strong in Azure Foundry/AWS Bedrock related agentic automation implementation
Excellent in development using Python, SQL , Pandas
Good exposure to agile testing process
Should have excellent communication skills to interact with stakeholders

Technologies

Agentic AI
AWS Bedrock
Azure
Azure Foundry
LangChain
LangGraph
MCP Server
Semantic Kernel
Python
SQL
Pandas
GIT
Jira

Benefits

Competitive compensation
Comprehensive insurance options
Matching contributions through the 401(k) plan and the share purchase plan
Paid time off for vacation, holidays, and sick time
Paid parental leave
Learning opportunities and tuition assistance
Wellness and Well-being programs

View full job page →

23d ago

Industrial Engineering Analytics Engineer

Excelon Solutions Pittsburgh, PA

Pittsburgh, PA

23d ago

$50 - $100/hr Full time Analytics Business Analytics Business Intelligence

Apply Now

Job Description

What you get

Excelon Solutions offers a competitive hourly rate of USD 50 - 100 per hour for an onsite Industrial Engineering Analytics Engineer in Pittsburgh, PA. The role centers on building integrated IE models and analytical solutions to optimize capacity, labor, PFEP, and cost for factory planning and operations. You will apply advanced analytics and simulation to boost manufacturing efficiency and cost performance, collaborating closely with operations teams to drive tangible improvements.

Responsibilities

Design and implement integrated industrial engineering models that link capacity, labor, material flow, PFEP, and COGS to support factory planning and operations
Develop and apply advanced analytical models to enhance manufacturing efficiency, capacity planning, and cost optimization
Construct capacity models that compare target, forecast, and gated capacity, incorporating cycle time, OEE, yield losses, and bottleneck analysis
Create labor models to optimize headcount, utilization, and labor cost across production systems
Develop and evaluate business cases for capital investments, including ROI, IRR, NPV, and cost-benefit analyses
Model COGS components, including labor, overhead, scrap, and other process-driven costs
Design OEE models covering availability, performance, and quality to drive operational efficiency and continuous improvement
Develop process flow diagrams (PFDs) and value stream maps to depict manufacturing systems and identify inefficiencies
Design scalable data models and data architectures for IE, capacity, labor, PFEP, and cost analytics
Leverage tools such as FlexSim, Anylogic, and Simio to model scenarios and validate insights
Utilize data analysis tools including Excel advanced modeling, Python, SQL, and Power BI/Tableau

Requirements

7+ years of experience in industrial engineering analytics, manufacturing modeling, or operations analysis
Proficiency with FlexSim, Anylogic, and Simio
Experience with data analysis tools such as Excel advanced modeling, Python, SQL, and Power BI/Tableau

Technologies

FlexSim
Anylogic
Simio
Excel
Python
SQL
Power BI
Tableau

View full job page →

24d ago

Senior Data Analyst

Aramark Pittsburgh, PA

Pittsburgh, PA

24d ago

Full time Senior Analyst Analytics

Apply Now

Job Description

The Senior Data Analyst supports Aramark Sports + Entertainment venues in the Pittsburgh district by delivering high-quality insights that drive smarter decisions and enhance business outcomes. This role collaborates with Aramark operations leaders and venue clients to assess performance, anticipate challenges, and propose data-driven solutions.

Responsibilities

Establish and nurture strong client relationships, acting as a trusted analytical partner for strategic planning and performance reviews.
Present data insights to senior management and clients with clear storytelling and actionable recommendations.
Collaborate with clients to research hospitality across premium, suites, and concessions consumer segments.
Identify opportunities to generate demand and meet consumer needs, and work with internal and external partners to pilot concepts that enhance guest experiences across venues.
Analyze performance data from diverse sources, including labor tracking, point of sale, and inventory systems, to identify operational improvements and recommend data-driven actions.
Create engaging data visualizations and reports to effectively communicate complex insights to stakeholders.
Oversee the development of key performance reports for multiple stakeholders, including the Aramark operations team and clients.
Produce ad hoc analyses to assess short-term initiatives; coordinate with cross-functional teams to define the insights and analytics needed to measure success.
Utilize consumer analytics to understand purchasing behavior across Aramark Sports + Entertainment venues in the Pittsburgh district.
Support pricing, product mix, and placement decisions to drive revenue and guest satisfaction.
Develop processes to streamline data collection and synthesis by refining business workflows.
Keep abreast of emerging AI tools, technologies, and industry best practices to advance Aramark Data Science objectives.

Requirements

A bachelor’s degree in mathematics, statistics, accounting, finance, or another scientific discipline is required; a master’s degree is a plus but not mandatory.
Typically 3 to 5 years of experience in an analytical role is preferred.
Strong analytical ability and proficiency in spreadsheet modeling are required.
Moderate hands-on experience with SQL, Python, or R for data manipulation.
Familiarity with AI in a business context, plus curiosity and initiative to explore new AI technologies.
Excellent written and verbal communication skills with the ability to interact with stakeholders at multiple management levels.
Strong organizational, project management, and time management abilities.
Ability to effectively communicate findings, analysis, implications, and recommendations to diverse stakeholders.
Extensive experience with the Microsoft Office suite, with high proficiency in Excel and PowerPoint.
Experience developing business intelligence tools such as Power BI is a plus.

Technologies

SQL
Python
R
Excel
PowerPoint
Power BI

About Aramark

Aramark is rooted in service and purpose, with a mission to do good for colleagues, partners, communities, and the planet. The company upholds equal employment opportunity and does not discriminate on protected characteristics as defined by law. Serving millions of guests daily across 15 countries, Aramark emphasizes talent development, professional growth, and a workplace that supports pursuing new challenges, fostering a sense of belonging, and delivering a great work environment.

View full job page →

25d ago

AWS AI Engineer

Hudson Manpower Pittsburgh, PA 🇺🇸 Remote

Pittsburgh, PA

25d ago

Full time AI Amazon Web Services Artificial Intelligence

Apply Now

Job Description

Hudson Manpower is seeking a Senior AWS AI Engineer to architect and operate production AI/ML applications on AWS, with a focus on retrieval-augmented generation, fine-tuning large language models, and cloud-native microservices. The role centers on delivering secure AI services that integrate with live infrastructure data, built to scale and operate within live environments. The position is based in Pittsburgh, PA with remote work options and requires seven years of hands-on software engineering experience.

Responsibilities

Hands-on work with AWS services including Lambda, Bedrock, SageMaker, Step Functions, DynamoDB, and S3 to implement cloud infrastructure, machine learning features, and AI platform capabilities.
Own the deployment of AWS cloud services, spanning infrastructure, ML workflows, and AI platform services.
Develop and maintain LLM based applications, including Retrieval-Augmented Generation (RAG) using LangChain and related frameworks.
Build cloud-native microservices, APIs, and serverless functions to enable intelligent automation and real-time data processing.
Collaborate with internal stakeholders to translate business goals into secure, scalable AI systems.
Manage the software release lifecycle, including CI/CD pipelines, GitHub-based SDLC, and infrastructure as code with Terraform.
Support a reusable set of platform components for AI/ML operations and their evolution.
Create and maintain technical documentation for the team and internal customers.
Provide clear verbal and written communication in English.

Requirements

Seven years of hands-on software engineering experience with a strong emphasis on Python.
Experience with AWS services, particularly Bedrock or SageMaker.
Familiarity with fine-tuning large language models or building datasets and deploying ML models to production.
Experience navigating AWS organizations and policy guardrails such as SCP and AWS Config.
Solid track record implementing RAG architectures and using LangChain.
Proven experience with Infrastructure as Code best practices and building Terraform modules for AWS.
Strong background in Git-based version control, code reviews, and DevOps workflows.
Proven success delivering production-ready software with release pipeline integration.

Technologies

Python, Bedrock, SageMaker
ECS, Lambda, Step Functions
DynamoDB, S3
LangChain, Transformers, PyTorch, TensorFlow
Terraform, Git, GitHub
Hugging Face, Node.js, Golang
Terraform Sentinel, AWS Config, SCP

Benefits

Competitive base salary
Medical, dental, and vision insurance coverage
Optional life and disability insurance
401(k) with company match and optional profit sharing
Paid vacation time
Paid bench time
Training allowance
Referral bonuses

Top Skills

Experience with AWS services including Bedrock, SageMaker, ECS, and Lambda
Strong knowledge of AWS organizations and policy guardrails (SCP, AWS Config)
Proficiency in implementing RAG architectures and using ML tooling such as Transformers, PyTorch, TensorFlow, and LangChain
Infrastructure as Code best practices and building Terraform modules for AWS
Fine-tuning large language models, building datasets, and deploying ML models to production
Git-based version control, code reviews, and DevOps workflows
AWS or relevant cloud certifications
Data privacy and compliance best practices, including secure model deployment
Data science background or experience with structured and unstructured data
Exposure to FinOps and cloud cost optimization
Hugging Face, Node.js
Policy as Code development (Terraform Sentinel)