Pittsburgh, PA

Engineer Jobs in Pittsburgh, PA

30 jobs found

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Today

Industrial Engineering Analytics Engineer

Excelon Solutions Pittsburgh, PA

Pittsburgh, PA

Today

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

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Job Description

The Industrial Engineering Analytics Engineer will join Excelon Solutions in Pittsburgh, onsite, focusing on building integrated IE models and analytical solutions to optimize capacity, labor, PFEP, and cost for factory planning and operations. The position offers an hourly rate of USD 50 to 100, and candidates are expected to have at least 7 years of experience in related analytics.

Responsibilities

Develop integrated industrial engineering models that connect capacity, labor, material flow, PFEP, and cost of goods sold to support factory planning and operations
Apply advanced analytical models to drive manufacturing efficiency, capacity planning, and cost optimization
Construct capacity models comparing target, forecast, and gated capacity, incorporating cycle time, OEE, yield losses, and bottleneck analysis
Develop labor models to optimize headcount, utilization, and labor cost across production systems
Create and evaluate business cases for capital investments, including ROI, IRR, NPV, and cost benefit analysis
Model COGS components, including labor, overhead, scrap, and process-driven cost elements
Design OEE models addressing 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
Utilize modeling tools such as FlexSim, Anylogic, and Simio
Employ data analysis tools including advanced Excel 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 including advanced Excel modeling, Python, SQL, and Power BI/Tableau

Technologies

FlexSim
Anylogic
Simio
Excel
Python
SQL
Power BI
Tableau

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1d ago

Sr. Controls and Automation Engineer

ABARTA Coca-Cola Beverages Pittsburgh, PA

Pittsburgh, PA

1d ago

Full time Electrical Engineering Senior Allen-Bradley

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Job Description

Senior Controls and Automation Engineer based in Pittsburgh, PA (hybrid) for ABARTA Coca-Cola Beverages, responsible for designing, implementing, and supporting industrial control systems across beverage manufacturing facilities and automated warehouses.

Responsibilities

Lead the design and development of PLC, HMI, and SCADA solutions for beverage production lines, packaging equipment, and warehouse automation systems.
Architect and maintain control architectures for conveyors, sortation systems, palletizers, depalletizers, and robotic equipment.
Program, test, and commission PLCs (Rockwell Automation, Siemens) and HMIs to meet functional, safety, and performance requirements.
Integrate controls with MES, WMS, ERP, and data historians to support production reporting, traceability, and OEE initiatives.
Provide technical leadership during system commissioning, site acceptance testing SAT, and start-up activities.
Troubleshoot complex control system issues to minimize downtime and improve reliability.
Develop and enforce controls standards, best practices, and documentation including functional specifications, I/O lists, cabinet schematics, and network diagrams.
Collaborate with mechanical, electrical, IT, operations, and maintenance teams to deliver integrated automation solutions.
Support continuous improvement initiatives focused on safety, quality, throughput, and energy efficiency.
Provide oversight and technical guidance to third party controls engineers and technicians.

Requirements

Bachelor’s degree in Electrical Engineering, Controls Engineering, Automation Engineering, or a related field.
8+ years of experience in industrial automation, preferably within beverage, food and beverage, or high speed consumer goods manufacturing.
Experience with Allen-Bradley PLCs (ControlLogix, CompactLogix, PLC5, SLC500), PanelView/PanelViewPlus HMIs, and industrial networks (Ethernet, Ethernet IP, DeviceNet, DH+).
Strong PLC programming proficiency in Rockwell Automation ControlLogix/CompactLogix.
Hands-on experience with HMI and SCADA platforms (Ignition).
Demonstrated experience supporting automated warehouse and material handling systems (for example Vertique automated case-picking).
Strong troubleshooting skills in live production environments.
Ability to read and interpret electrical schematics and control system documentation.
Willingness to travel up to 25% for project support and commissioning.

Technologies

Rockwell Automation ControlLogix, ControlLogix and CompactLogix
Allen-Bradley PLC5, SLC500
PanelView, PanelView Plus
Siemens
Ignition
Ethernet, Ethernet/IP, DeviceNet, DH+

Benefits

401(k)
401(k) matching
Dental insurance
Disability insurance
Employee assistance program
Employee discount
Flexible spending account
Health insurance
Health savings account
Life insurance
Paid time off
Parental leave
Professional development assistance
Referral program
Retirement plan
Tuition reimbursement
Vision insurance

Additional Information

ABARTA Coca-Cola Beverages, LLC requires all applicants to undergo a background verification process prior to commencing employment. Employment is contingent on satisfactory completion of a pre-employment background check, which may include drug screening. Background verifications will be evaluated according to ABARTA Coca-Cola Beverages guidelines to determine eligibility for this position.

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2d ago

AWS AI Engineer

Hudson Manpower Pittsburgh, PA 🇺🇸 Remote

Pittsburgh, PA

2d ago

Full time AI Amazon Web Services Artificial Intelligence

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Job Description

Hudson Manpower is seeking a Senior AWS AI Engineer to architect and operate production AI/ML workloads on AWS, with an emphasis on retrieval-augmented generation, fine-tuning large language models, and cloud-native microservices. The role delivers scalable, secure AI services that integrate with live infrastructure data. Location: Pittsburgh, PA with remote work options.

Responsibilities

Hands-on development and operation of AWS services including Lambda, Bedrock, SageMaker, Step Functions, DynamoDB, and S3.
Design and implement AWS cloud services across infrastructure, machine learning, and AI platform offerings.
Work with LLM based applications, including Retrieval-Augmented Generation (RAG) using LangChain and other frameworks.
Build cloud-native microservices, APIs, and serverless functions to support intelligent automation and real-time data processing.
Collaborate with internal stakeholders to translate business goals into secure, scalable AI solutions.
Own the software release lifecycle, including CI/CD pipelines, GitHub-based SDLC, and infrastructure as code with Terraform.
Contribute to the development and evolution of reusable platform components for AI/ML operations.
Create and maintain technical documentation for the team and internal customers.

Requirements

Seven years of hands-on software engineering experience with a strong focus 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 with AWS Organizations and policy guardrails such as SCP and AWS Config.
Solid background implementing RAG architectures and using LangChain.
Practices in Infrastructure as Code and building Terraform modules for AWS cloud.
Strong 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 provided
401(k) with a company match and optional profit sharing
Paid vacation time
Paid Bench time
Training allowance offering
Referral bonuses

Top Skills

AWS services including Bedrock, SageMaker, ECS, and Lambda
Experience with 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 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 other cloud certifications
Data privacy and compliance best practices (PII handling, secure model deployment)
Background in data science or experience with structured and unstructured data
Exposure to FinOps and cloud cost optimization
Hugging Face and Node.js experience
Policy as Code development (Terraform Sentinel)

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3d ago

Managed Services - Data Engineer - Experienced Associate

PRICE WATERHOUSE COOPERS Pittsburgh, PA

Pittsburgh, PA

3d ago

$63k - $140k/yr Full time Analytics Business Intelligence Cloud

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Job Description

Responsibilities

Develop and deploy data driven solutions aimed at enhancing business performance and competitive edge, covering data engineering and ETL processes.
Apply advanced analytics techniques to uncover strategic insights and support data informed decision making for clients, including SQL optimization.
Build and maintain data pipelines to enable efficient data collection and analysis, leveraging DataStage.
Use business intelligence tools such as Oracle Business Intelligence and QlikView to deliver comprehensive reports and dashboards, incorporating DB2 and SQL Server data sources.
Collaborate with team members to gather and analyze data from multiple sources to identify patterns and trends, utilizing star schemas and dimensional modeling.
Apply data architecture development skills to design and sustain robust database management systems, including snowflake style models.
Participate in ongoing process improvement to elevate data quality and integrity.
Support client engagement by actively listening and addressing diverse perspectives and needs within regulated environments.
Contribute to the development of business cases and market development strategies through data analysis and interpretation.
Adapt to a fast paced environment and take ownership of tasks to consistently deliver quality work, including experience with job scheduling and UNIX.

Requirements

Bachelor's degree required
Minimum 1 year of experience

Technologies

DataStage
Oracle BI
QlikView
SQL Server
DB2
SQL
Spotfire
Python
Java
UNIX
Snowflake

Benefits

Medical insurance
Dental insurance
Vision insurance
401(k) plan
Holiday pay
Vacation
Personal and family sick leave
Annual discretionary bonus

The Opportunity

As a Managed Services Data Engineer at the Experienced Associate level, you will leverage data and analytics to deliver strategic insights and support informed client decisions. Within PwC's Data and Analytics practice, you will design and implement innovative solutions to optimize performance and strengthen competitive advantage. The role emphasizes learning, client engagement, and delivering high-quality work while building your skills and knowledge over time. You will operate in a dynamic environment that values ownership and a proactive approach to development and collaboration.

What Sets You Apart

Preference for study in one of several fields including Computer and Information Science, Economics, Statistics, Engineering, or related programs.
Proficiency in Python and Java programming.
Experience with data visualization tools such as QlikView and Spotfire.
Background in developing business intelligence solutions using Oracle BI.
Experience in data architecture development and management.
Ability to apply macroeconomic and microeconomic analysis techniques.
Strong data analysis and interpretation capabilities.

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4d ago

Sr Machine Learning Engineer

System One Pittsburgh, PA

Pittsburgh, PA

4d ago

Contract Senior Ai Ml Artificial Intelligence

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Job Description

System One offers an onsite, contract-to-hire Senior Machine Learning Engineer role with opportunities across Pittsburgh, Dallas, and Cleveland. This senior position centers on production ML models, GenAI and LLM workflows, governance, and release planning within finance projects. The engagement is onsite five days a week, with a clear path to permanent placement for a candidate with 10+ years of experience.

What you will gain

Onsite, five days a week across Pittsburgh, Dallas, and Cleveland
Contract-to-hire engagement with potential for permanent placement
Hands-on work on production ML models and GenAI / LLM initiatives, with governance and release planning in finance

Responsibilities

Continuous support of models deployed to production applications
Internal client consultation to elicit and collect requirements, and communicate and align the technical team toward delivery
Release planning, coordination, and hands on support throughout release windows

Requirements

Experience implementing production solutions that leverage generative AI and LLMs
Machine learning model solution design, build, orchestration and implementation
Experience building solutions with model governance, risk management, and regulatory adherence at top of mind
GPT 5.x
Langchain
RAG / RAGAS

Technologies

GPT 5.x
Langchain
RAG / RAGAS
Azure AI Search
AI Agent Service
Document Intelligence
Content Safety
Microsoft Agent Framework
Foundry
Redis
Elasticsearch
Arize
Deepeval
ChromaDB
Langgraph

Location and engagement details

Locations: Pittsburgh, PA; Dallas, TX; Cleveland, OH

Work status: Onsite 5 days a week

Duration: Contract to Hire

Experience: 10+ years

Industry: Finance / Banking

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6d ago

Sr Databricks Data Engineer

Deloitte Pittsburgh, PA

Pittsburgh, PA

6d ago

$116k - $229k/yr Full time Apache Airflow Automation Big Data

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Job Description

Join Deloitte's AI & Data practice on site in Pittsburgh to help modernize data platforms, enable analytics and AI, and drive measurable business outcomes. This role offers a competitive compensation range of USD 116,200 to 229,100 per year, plus a discretionary annual incentive and a benefits package aligned with the Core Talent Model. You will work in a collaborative, data-driven environment that prizes technical excellence and leadership, with opportunities to shape cloud based data engineering solutions on Databricks.

Benefits

Discretionary annual incentive program
Benefits package aligned with Core Talent Model
Competitive salary range: USD 116,200 – 229,100 per year

Responsibilities

Champion best practices by documenting and promoting superior data architecture, integration, and modeling approaches
Own data pipelines and architectures to support large scale enterprise data needs
Lead efforts to improve data quality, operational efficiency, and process scalability
Evaluate, pilot, and integrate new big data and analytics technologies; lead and develop teams of data engineers and architects
Design and implement governance, security, and compliance strategies for modern cloud data ecosystems
Communicate technical concepts and business value to executives, business leads, and technology teams
Oversee CI/CD practices with tools such as Azure DevOps, AWS Code Pipeline, Jenkins, TFS, or PowerShell to streamline deployments and operations

Requirements

Bachelor's degree in Computer Science, Engineering, or a related field
5+ years of hands-on data engineering experience focusing on Databricks on AWS, Azure, or GCP
Experience with Lakehouse architecture, Apache Spark, Delta Lake, cloud-native databases, storage solutions, and distributed compute platforms
Experience with data warehousing, 3NF, dimensional modeling, enterprise data lakes, incremental data loads, and metadata driven ingestion and data quality frameworks using PySpark
1+ year leading complex, cross-functional data projects and technical teams, including experience with Delta Live Tables, Autoloader, Structured Streaming, Databricks Workflows, Apache Airflow, Unity Catalog, automated CI/CD pipelines, and performance optimization of data engineering pipelines, code, and compute resources
Ability to travel up to 50% on average based on the work and client needs
Limited immigration sponsorship may be available

Preferred qualifications

Master's degree in Computer Science, Engineering, or a related field
Experience across one or more cloud ecosystems (AWS, Azure, GCP) and associated big data services
Experience tuning and optimizing performance in Databricks and Apache Spark environments
Experience with Databricks Lakeflow
Experience with artificial intelligence and machine learning solutions

Technologies

Databricks
AWS, Microsoft Azure, Google Cloud Platform (GCP)
Apache Spark, Delta Lake, Unity Catalog
Delta Live Tables, Autoloader, Structured Streaming
Databricks Workflows, Apache Airflow
Azure DevOps, AWS Code Pipeline, Jenkins, TFS, PowerShell
PySpark, Databricks Lakeflow

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6d ago

Data Engineer, AWS Support S&O - ESSO - Strategy, Planning & Inspection (SPI)

Amazon Web Services, Inc. Pittsburgh, PA

Pittsburgh, PA

6d ago

$132k - $179k/yr Full time Amazon Quicksight Amazon Web Services AWS

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Job Description

The Data Engineer supporting AWS Enterprise Support Strategy and Operations designs and maintains analytics infrastructure to enable key metrics, dashboards, and data-driven decisions. The role collaborates with data scientists and BI engineers, leveraging SQL, Redshift and Quicksights to deliver actionable insights across SPI operations.

Overview

Within the Strategy, Planning and Inspection group, the Data Engineer builds scalable data architectures, develops and sustains data pipelines, and curates dashboards that inform strategic and operational decisions. The position emphasizes SQL driven analytics using Redshift and Quicksights, with a strong focus on collaborating with Data Scientists and BI Engineers to promote best practices in reporting and analysis.

Location

Pittsburgh, PA (onsite)

Salary

USD 132,100 - 178,800 per yearly

Responsibilities

Architect, implement, and maintain an analytics data platform to support reporting and analysis.
Administer AWS services such as EC2, EMR, S3, Glue, Redshift, and related infrastructure.
Collaborate with cross-functional technology teams to extract, transform, and load data from diverse sources using SQL and AWS big data technologies.
Continuously explore new AWS technologies to introduce capabilities and improve efficiency.
Partner with Data Scientists and BI Engineers to identify and promote best practices in reporting and analytics.
Enhance ongoing reporting and analytics workflows, automating or simplifying self-service options for customers.

Requirements

Bachelor's degree.
Experience as a data engineer or related role (eg software engineer, BI engineer, data scientist) with a track record of manipulating, processing, and deriving value from large datasets.
3+ years developing and operating large-scale data structures for business intelligence analytics using SQL.
Experience providing technical leadership and mentoring other engineers on data engineering best practices.
Experience building and operating highly available, distributed systems for data extraction, ingestion, and processing of large data sets.
Experience with data modeling, warehousing, and ETL pipeline development.