Pittsburgh, PA

Engineer Jobs in Pittsburgh, PA

10 jobs found

Include remote jobs

Today

Analytics Engineer - AI Trainer

DataAnnotation Pittsburgh, PA 🇺🇸 Remote

Pittsburgh, PA

Today

$40 - $60/hr Full time Advanced Analytics Ai Trainer Analyst

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Job Description

DataAnnotation is seeking an Analytics Engineer - AI Trainer to join a fully remote team. The role centers on evaluating AI-generated quantitative work and designing training problems that benchmark and improve AI systems, with a flexible schedule and a Pittsburgh, PA base. This position blends hands-on analysis with the practical aim of guiding next-generation AI models in quantitative reasoning.

Responsibilities

Evaluate AI-generated quantitative outputs for technical accuracy and real-world validity, including statistical analysis, predictive modeling, scientific reasoning, and data-driven insights.
Design and solve quantitative tasks used to train and benchmark AI systems, spanning forecasting, experimental analysis, optimization, and statistical inference.
Write clear technical explanations and maintain well-documented analytical code.
Provide actionable feedback that informs the development of future AI models focused on quantitative reasoning.

Requirements

2+ years of hands-on work in a quantitative role or research environment such as data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or related fields.
Some coding experience with comfort writing and reviewing analytical code end-to-end.
Practical experience with statistical methods, predictive modeling, and experiment design (including A/B testing, hypothesis testing, regression, classification, and time-series forecasting).
Fluency in English with strong writing skills (native or bilingual level).
Bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); a master's or PhD is a plus.
Relevant credentials are a plus (for example Kaggle competition ranking, AWS/GCP ML certifications, or equivalent demonstrated expertise).

Benefits

Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand.
Flexible schedule: choose which projects you take on and when you work.
Competitive pay: hourly rates up to $60 USD, with opportunities for higher-paying projects based on performance.
Impact: contribute to AI systems designed to reason about data and analytics.

Note

Payment is made via PayPal. We will never ask for money from you.
This job is available to candidates in the US, Canada, UK, Ireland, Australia, and New Zealand.

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3d ago

Senior Instrumentation & Controls Engineer

Hatch Pittsburgh, PA

Pittsburgh, PA

3d ago

$165k - $165k/yr Full time Electrical Engineering Senior Automation

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Job Description

Join Hatch's Pittsburgh-based electrical team as a Senior Instrumentation & Controls Engineer, bringing extensive expertise to design and deliver instrumentation and control solutions for capital projects of all sizes. This onsite role focuses on industrial process control, automation, and computer-based systems, guiding projects from concept through commissioning with rigor and a strong commitment to safety and quality.

Role Details

Location: Pittsburgh, PA (onsite)
Salary: USD 165,000 per year
Education Requirements: Bachelor's degree in Electrical, Mechanical, or Chemical Engineering
Experience: Minimum 10 years

Responsibilities

Draft and review instrumentation and controls deliverables, including design criteria, control philosophy, narratives, instrument index, I/O lists, calculations, data sheets, specifications, selection and sizing, P&ID drawings, system architecture, instrument location drawings, and installation details.
Lead the production of scope-of-work documentation and engineering/construction work packages, performing quality checks and ensuring compliance with standards and internal procedures; review contractor and vendor drawings, material requisitions, and bid tabulations; provide construction support, commissioning, and startup assistance.

Requirements

A bachelor’s degree in Electrical, Mechanical, or Chemical Engineering with a strong interest in industrial process control, automation, and computer systems.
At least ten years of experience designing industrial instrumentation and control systems for heavy industrial projects.
Familiarity with current statutory regulations, industry standards, and recommended practices, with practical application experience.
Experience with DCS and PLC control system hardware and architecture.
Knowledge of SIS hardware and architecture.
Strong planning and execution capabilities to meet quality, cost, and schedule targets.
Experience with plant site instrumentation, control systems, control valves, and communications.
Practical instrumentation system reliability, maintenance, and repair standards.
Understanding of electrical hazardous area classifications and equipment specifications for plant sites.
Experience with electrical and instrumentation fittings and interfaces.
Demonstrated commitment to safety and quality programs and procedures.
Technical strength paired with interpersonal skills.
Proficient PC skills and professional written and verbal communication abilities.
Experience with SmartPlant Instrumentation (InTools, Intergraph).
Experience with Plantspace PID (Intelligent P&ID's, Bentley, Microstation).
Experience with 3D modeling (Bentley).
Experience with Relational Databases (administration & coordination).
Experience with digital communications, fieldbus technologies, networking and hardware.

Technologies

SmartPlant Instrumentation (InTools, Intergraph)
Plantspace P&ID (Intelligent P&ID's, Bentley, Microstation)
3D modeling (Bentley)
Relational Databases
Siemens PCS 7
Delta-V
Allen Bradley

Benefits

Work with great people to make a difference
Collaborate on exciting projects to develop innovative solutions
Top employer
Flexible work environment
Long term career development
Think globally, work locally

Why Join Us?

Work with great people to make a difference
Collaborate on exciting projects to develop innovative solutions
Top employer

What We Offer You?

Flexible work environment
Long term career development
Think globally, work locally

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9d ago

Data Engineer

Wolfe, LLC Pittsburgh, PA

Pittsburgh, PA

9d ago

$75k - $85k/yr Full time AWS Aws Glue Big Data

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Job Description

Data Engineer role in Pittsburgh, PA (onsite) at Wolfe, LLC, offering a salary range of $75,000 to $85,000 per year.

Responsibilities

Design, build, and maintain scalable data pipelines across Bronze, Silver, and Gold layers within a lakehouse architecture
Develop and optimize ETL/ELT processes using AWS services (Glue, S3, Athena, etc.)
Ensure data quality, consistency, and reliability across all stages of the data lifecycle
Implement and enforce data governance standards, including cataloging, lineage, and access controls
Collaborate with analytics, product, and engineering teams to deliver high-quality data products
Support and enable AI/ML and Agentic AI workflows by providing clean, well-structured, and accessible datasets
Monitor and troubleshoot data pipeline performance and failures
Contribute to architectural decisions and continuous improvement of the data platform

Requirements

3+ years of experience in data engineering or related field
Hands-on experience with AWS data services (Glue, S3, Athena, IAM, Lake Formation preferred)
Strong proficiency in Python and SQL for data transformation and pipeline development
Understanding of data governance concepts including cataloging, lineage, and access control
Familiarity or interest in AI/ML workflows, with exposure to Agentic AI concepts considered a strong plus

Technologies

Python
SQL
AWS Glue
Amazon S3
Amazon Athena
IAM
Lake Formation

Benefits

Restricted Stock Units (RSUs)
Profit Share and/or Incentive Bonus
Medical, Prescription, Vision, and Dental insurance for employees and dependents (Wolfe pays 80% of premium)
Short-Term Disability Insurance (Wolfe pays 100% of premium)
Voluntary Long-Term Disability Insurance, Life Insurance, Critical Illness Insurance, Accident Insurance, and Hospital Indemnity coverage
PTO (vacation and sick time)
Corporate Holidays and Floating Holidays
401(k)
Employee recognition program
Charitable Donation to a charity of your choice yearly
Employee Referral Bonus
Tuition Reimbursement
Internal Training and Information sessions
Family Picnic, Holiday Party, and other outings
Internal Culture Club

Impact Statement

Successfully onboard and take ownership of key data pipelines within the medallion architecture
Deliver measurable improvements in pipeline performance, reliability, or cost efficiency
Implement or enhance at least one data governance capability (e.g., lineage tracking, tagging, or access controls)
Contribute to enabling at least one AI/analytics use case by delivering clean, production-ready datasets

About Wolfe, LLC

Wolfe, LLC is a Pittsburgh-based company founded in 1996 and a pioneer in e-commerce and the gifting industry. Guided by a vision to move humanity to express love for each other through personalized, faster, beautiful, secure, and flexible gift giving, the organization emphasizes teamwork, drive, integrity, caring, and excellence. Wolfe has earned multiple recognitions, including a 2023 Inc. 5000 ranking (no. 382), the 2022 Fastest 50 Growing Companies award from the Pittsburgh Business Times, and honors such as Best Places to Work (2020) and the Carnegie Science Award (2019), among others.

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11d ago

Software Engineer (Python)

CGI Group, Inc. Pittsburgh, PA

Pittsburgh, PA

11d ago

$58k - $124k/yr Full time Backend Developer Python Azure

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Job Description

Responsibilities

Design, develop, and maintain Python-based services, automation tools, and platform utilities that support containerized workloads.
Build and enhance CI/CD pipelines for automated builds, tests, security scans, deployments, and release orchestration.
Deploy, operate, and troubleshoot applications on Kubernetes/OpenShift, including configuration, scaling, upgrades, and runtime issues.
Implement Policy as Code to enforce standards such as security, networking, resource controls, image provenance, and RBAC, mitigating configuration drift.
Integrate DevSecOps controls like SAST/DAST, container image scanning, SBOM generation/validation, secrets detection, and compliance checks into pipelines.
Manage Kubernetes artifacts including Deployments, Services, Ingress/Routes, ConfigMaps, and Secrets; work with Helm charts and/or Kustomize overlays.
Operate OpenShift resources (Projects/Namespaces, Routes, SCCs, Operators where applicable).
Improve platform reliability through monitoring and alerting integrations and conduct root cause analysis for production issues.
Contribute to engineering standards and documentation, including runbooks, SOPs, and onboarding guides.
Participate in code and design reviews and agile ceremonies, clearly communicating risks, tradeoffs, and implementation details.

Requirements

35 years of professional software engineering experience.
Strong Python development experience covering APIs, automation, scripting, packaging, and unit testing.
Experience administering Apache httpd, including mod_proxy, mod_rewrite, and OIDC authentication modules.
Experience configuring Azure EntraID application registrations, client credentials, OAuth2/OIDC endpoint integration, and API permissions, including integrating EntraID as an identity provider via OIDC.
Hands-on Kubernetes/OpenShift experience, including deploying and troubleshooting workloads.
Experience building CI/CD pipelines with tools such as Jenkins or UDeploy.
Familiarity with Policy as Code concepts and tooling, including SAST, IAST, policy testing/validation, and policy lifecycle management.
Proficient in Git workflows, branching strategies, and pull request reviews; experience with JIRA and Confluence.
Linux fundamentals, networking basics, and troubleshooting in distributed systems.
Working knowledge of security best practices: RBAC, least privilege, secrets management, and secure Software Development Life Cycle.

Technologies

Python, Bitbucket, Git, Kubernetes, OpenShift, Helm, Kustomize, Apache httpd, OIDC, Azure EntraID, Jenkins, UDeploy, JIRA, Confluence, JupyterHub, Apache Spark, React, JavaScript

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

Position Description

This role is on-site at a client office in Pittsburgh, PA, five days a week. CGI seeks a Software Engineer with 35 years of hands-on experience building, deploying, and operating applications and platform capabilities on Kubernetes/OpenShift. The ideal candidate is proficient in Python, experienced with CI/CD pipeline development, and familiar with Bitbucket, able to implement and maintain Policy as Code to enforce governance, security, and compliance across container platforms.

Skills

Bitbucket
GIT
Python

What You Can Expect From Us

CGI emphasizes ownership and collaboration, inviting you to contribute from day one as part of a partner-led culture. You will work with a team that values respect and belonging, with opportunities to develop innovative solutions and advance within a stable, growth-focused environment.

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11d ago

Software Engineer (Full Stack)

BNY Pittsburgh, PA

Pittsburgh, PA

11d ago

Full time Backend Developer Python Agile

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Job Description

BNY offers a culture of excellence, competitive compensation, and generous paid leave, backed by wellbeing programs and a pay for performance mindset. This full stack software engineer role centers on delivering end to end platform features, API integrations, and AI driven agent orchestration. The position is onsite in Pittsburgh, PA, with an option to work from Lake Mary, FL as well, requiring four days in the office each week.

You will partner with Product and Architecture leadership to transform requirements into practical technical work, and you will have the chance to grow into a Product Owner role as you build domain expertise in Source to Pay workflows and shape backlog priorities and roadmap discussions.

Responsibilities

Design and implement full stack features across the platform, including workflow orchestration UIs, agent configuration surfaces, API integrations, and data visualization dashboards.
Extend API gateway capabilities to centralize platform calls to enterprise systems under stable, versioned contracts.
Build bidirectional integrations with enterprise procurement, finance, travel, and contract management platforms using RESTful APIs and event driven patterns.
Collaborate directly with the Product Lead and Architecture Lead to translate product requirements into technical specifications and sprint deliverables.
Implement AI agent orchestration workflows with durable execution, audit trails, and deterministic replay of sourcing decision chains.
Contribute to regulatory compliance data products, including field validation controls, data lineage mapping, and integration with cloud data warehouse and transformation tooling.
Champion engineering best practices such as test coverage, CI/CD quality, code review standards, and thorough documentation.
Progress toward a Product Owner role by building deep domain knowledge and taking increasing ownership of backlog prioritization and stakeholder communication.

Requirements

Bachelor’s degree in computer science, software engineering, or a related field.
4+ years of professional full stack development experience, with strong frontend in React/TypeScript and backend in Python or Node.js.
Hands on experience building and consuming RESTful APIs and integrating with enterprise or third party systems.
Solid understanding of relational databases and SQL; experience with cloud data warehouses is a strong plus.
Familiarity with workflow orchestration concepts and durable execution frameworks.
Strong communication skills and the ability to work closely with product leadership, translating business requirements into technical solutions.
A builder mindset, comfortable shaping architecture decisions in an early stage product environment rather than only executing fixed specifications.

Technologies

Python
Node.js
RESTful APIs
React
TypeScript
Data visualization libraries
Durable workflow engines
Pipeline orchestration tools
Event driven architecture
Cloud data warehouse
Transformation frameworks
SQL
LLM API integration
Prompt engineering
Agent framework design
API gateway
CI/CD pipelines
Containerized deployments
Procurement platforms
Finance platforms
Travel platforms
Contract management platforms

Benefits

Highly competitive compensation, benefits, and wellbeing programs rooted in a culture of excellence and pay for performance
Access to flexible global resources and tools for life’s journey
Generous paid leaves

Preferred

Experience with LLM AI integration patterns, prompt engineering, or agent based system design
Previous work in procurement, sourcing, or Source to Pay domains
Familiarity with regulatory compliance frameworks and data requirements
Experience with data transformation frameworks, pipeline orchestration, or data quality and lineage tooling
Interest in growing into product ownership; prior PO, PM, or technical product lead experience is a bonus

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13d ago

Date Engineer Lead(Big Data)

CGI Group, Inc. Pittsburgh, PA

Pittsburgh, PA

13d ago

$71k - $157k/yr Full time Big Data Bigdata Data Engineer

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Job Description

Benefits and culture

CGI offers a benefits-forward environment that prioritizes ownership, teamwork, respect and belonging. In addition to competitive pay, you gain access to comprehensive benefits and ongoing learning opportunities that support your growth and well-being.

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

Location and role focus

This onsite role requires five days per week at client sites in Pittsburgh, PA; Cleveland, OH; Birmingham, AL; or Dallas, TX. The Lead Data Engineer will design, build and optimize real-time analytics solutions and streaming pipelines using Kafka, Flink, Spark, Hadoop and SQL.

Responsibilities

Design and implement low-latency, high-throughput streaming pipelines with Kafka, Flink, and Spark Streaming
Build and maintain event-driven architectures for real-time data ingestion and processing
Develop stateful and stateless stream processing applications using Flink and Spark Structured Streaming
Collaborate with application teams to define integration points and API specifications

Requirements

10+ years of hands-on data engineering experience
Proven track record in building streaming pipelines
Hands-on expertise with Hadoop ecosystem, Kafka, Flink, Spark Streaming and SQL
Proficiency in Scala and Python
Experience with Oracle Database, SQL, and PL/SQL
Familiarity with CI/CD tools (Git, Bitbucket, uDeploy, ServiceNow)
Strong verbal and written communication skills with client-facing capabilities
Experience in client-facing or consulting roles
Strong problem-solving and analytical thinking
Ability to manage multiple priorities in a fast-paced environment
Collaborative mindset with leadership capabilities
Experience building enterprise-scale data platforms
Exposure to cloud-based data ecosystems (AWS, Azure, or GCP)
Knowledge of data governance, security, and compliance practices
Experience mentoring junior team members

Ideal candidate profile

Thinks beyond code and understands business impact
Leads conversations and owns end-to-end solutions
Balances technical depth with strong interpersonal skills
Comfortable taking ownership of solutions from conception to delivery

Technologies

Apache Kafka
Flink
Spark Streaming
Spark Structured Streaming
Hadoop and Hadoop Ecosystem (HDFS)
SQL
Python
Scala
RESTful APIs
Oracle Database
PL/SQL
Git
Bitbucket
uDeploy
ServiceNow
AWS
Azure
GCP

Compensation

Salary: USD 70,800 - 156,700 per year

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19d ago

Senior Vice President, Data Pipeline Engineer – Ontology & Investment Data Standard (IDS)

The Bank of New York Mellon Corporation Pittsburgh, PA

Pittsburgh, PA

19d ago

Full time Senior Big Data Data Architecture

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Job Description

Bank of New York Mellon Corporation seeks a Senior Vice President, Data Pipeline Engineer to architect and scale the data pipelines that power the Investment Data Standard (IDS) and its knowledge graph. This leadership role partners with ontology and knowledge-architecture teams to create a unified data ecosystem, handling data from both internal platforms and external vendors. The position is based onsite in Pittsburgh, PA, with an alternative in Lake Mary, FL.

Responsibilities

Design and implement scalable pipelines that ingest and process data across batch, streaming, and near real-time patterns from internal systems and external vendors.
Transform a variety of data formats — including APIs, flat files, streaming data, and unstructured sources — into clean, standardized time-series and event-driven datasets aligned to IDS entity models.
Create reusable frameworks to normalize identifiers, symbology, units, hierarchies, and event data such as corporate actions and transactions.
Collaborate with the Ontology/Knowledge architecture team to map source data to canonical entities, relationships, and attributes, enabling graph ingestion and entity resolution.
Establish robust data quality controls with full lineage, provenance, and traceability tied to the IDS product lineage.
Support multi-vendor data ingestion, comparison, and reconciliation, including source prioritization, hierarchy logic, and coverage/quality analytics.
Build modular, cloud-native pipelines optimized for scale, performance, and cost, leveraging platforms like Snowflake, with monitoring and SLA-driven reliability.
Work across functions to translate business and data requirements into production-ready pipelines and support downstream distribution via APIs, data products, and client platforms.

Requirements

Bachelor’s degree in a related discipline or equivalent work experience; an advanced degree with a preference for statistics/statistical analysis is preferred.
Minimum six years of total experience, including at least three years focused on data analysis and business intelligence.
Extensive background in data engineering, building and scaling production-grade pipelines.
Hands-on expertise in Python, Spark, and SQL, with strong ETL/ELT frameworks and orchestration tools.
Proven ability to design and operate high-volume, resilient pipelines across batch, streaming, and distributed environments.
Solid understanding of structured and semi-structured data modeling, including time-series and event-driven architectures.
Experience designing data transformation and normalization layers, covering schema evolution and backward compatibility.
Proficiency with modern data platforms (Snowflake, AWS, Databricks), lakehouse architectures, and API-based data integration.
Strong skills in performance tuning, cost optimization, and implementing data quality, monitoring, logging, and lineage frameworks.
Domain experience with financial datasets (market data, pricing, reference data, portfolio holdings, transactions, corporate actions) and familiarity with vendors such as Bloomberg, ICE, and MSCI.
Exposure to knowledge graph/ontology-driven systems, entity resolution workflows, AI/LLM-based unstructured data integration (documents, PDFs), and data entitlements, licensing, and usage tracking is preferred.