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Sr Data Engineer 1
Exelon
OAKBROOK TERRACE, IL
- $104,800 USD / year
…solutions, products, and processes under the guidance of a Principal Data Engineer or Manager. May coordinate tasks for other team…
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Integration Engineer 5 - Payment Network Partner Experience
Capital One
Riverwoods, IL
…seeking Integration Engineers who are passionate about marrying data with emerging technologies to join our team. As an Integration Engineer, you’ll have the opportunity to be on the…
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Lead Interdisciplinary
U.S. Army Corps of Engineers
Rock Island, IL
…theories of professional architecture. Basic Requirement for Engineer: Civil Engineer (0810), Environmental Engineer (0819), General Engineer (0801),Mechanical Engineer (0830), Electrical…
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Sr.Test & Validation Engineer (machine controls)
Caterpillar, Inc.
East Peoria, IL
Caterpillar EMD’s Peoria Proving Ground division is hiring for Sr. Test & Validation Engineer (machine controls) in Peoria, IL!
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L6E Software and Technology Validation Engineer
Caterpillar, Inc.
East Peoria, IL
…join the team as an L6E Sr. Software and Technology Validation Engineer ! Caterpillar enjoys the strongest reputation in the industry, and, in this critical role, you will help to continue…
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R&D Engineer/Scientist II
Honeywell Aerospace
Des Plaines, IL
- $100,000 to $127,000 USD / year
As a R&D Engineer/Scientist II here at Honeywell Aerospace, you will engage in research and development activities to create innovative solutions that address complex challenges in…
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Product Manager
Meta
Springfield, IL
Integrate data, usability studies, research, and market analysis into product strategies and requirements to enhance user satisfaction and improve engineer productivity
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Lead Principal Software Development Engineer
Oracle
Springfield, IL
- $135,200 to $306,400 USD / year
As a Sr. Principal Software Development Engineer in the Oracle Cloud Infrastructure (OCI) Core Platform division, you will play a critical leadership role in the architecture, evolution,…
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Senior Staff Software Engineer, Institutional Exchange
Coinbase
Springfield, IL
…markets with speed, depth, and trust. As a Senior Staff Software Engineer on the Exchange team, you'll set the architectural direction for the matching engine, order management, market…
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Principal Software Engineer
Highmark Health
Springfield, IL
We are seeking a visionary Principal Software Engineer responsible for building scalable public-facing software applications across Digital Member Experience channels. As a key player…
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Senior Business Intelligence Professional
CenterWell
Springfield, IL
The Senior Business Intelligence Engineer solves complex business problems and issues using data from internal and external sources to provide insight to decision-makers. The Senior…
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Senior Staff Full-stack Engineer - Global Payment Network (Remote - Eligible)
Capital One
Springfield, IL
As a Senior Staff Engineer at Capital One, you will be part of a community of technical experts working to define the future of banking in the cloud. You will work alongside our talented…
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Telecom Engineer IV
Ryder System
Springfield, IL
The Telecom Engineer IV will provide Tier 3 and 4 support, engineering / design, testing and deployment in all areas of responsibility of the Enterprise Voice Team; Voice Facilities, UCaaS…
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Principal Software Engineer - (Reston or Cambridge)
Akamai Technologies, Inc.
Springfield, IL
- $169,300 to $304,700 USD / year
As a Principal Software Engineer Lead, you will be responsible for:
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IT Intern - Multiple positions available
Levi, Ray & Shoup, Inc.
Springfield, IL
- $18 USD / hour
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Senior Technical IT Storage Engineer
Highmark Health
Springfield, IL
Assisting in data backup and recovery management along with both disaster recovery and cyber recovery testing and activities.
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Senior Data Scientist Engineer - SFL Scientific
Deloitte
Chicago, IL
…that transform our clients' businesses. We are hiring a Senior Data Scientist to collaborate directly with clients to design and develop novel projects and solutions. Join a rapidly growing…
Added 1 min ago
Data Scientist Engineer - SFL Scientific
Deloitte
Chicago, IL
…programs that transform our clients' businesses. We are hiring a Data Scientist to collaborate directly with clients to design and develop novel projects and solutions. Join a rapidly…
Added 1 min ago
Google Infrastructure and Security Lead Architect
Deloitte
Chicago, IL
…operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage,…
Added 1 min ago
Google AI Architect
Deloitte
Chicago, IL
…operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage,…
Added 1 min ago
HPC AI Solution Architect (S2S)
Deloitte
Chicago, IL
As a Lead Cloud Integrated Infra Engineer on the Silicon2Service team in Deloitte's AI & Engineering practice, you will design and drive deployment of fully integrated architectures for…
Added 1 min ago
ConvergeHEALTH Life Sciences - Product Forward Deployed Engineer - Products & Platforms
Deloitte
Chicago, IL
…sciences enterprise. Converge by Deloitte combines proprietary data assets, advanced analytics, and AI-driven decision intelligence to help pharmaceutical, biotech, and medical product…
Added 1 min ago
ConvergeCONSUMER - Product Installation Engineer - Products & Platforms
Deloitte
Chicago, IL
As the Product Installation Engineer within Expert Services, you will be responsible for installing one of a suite of applications, all following the same pattern of containerized…
Added 1 min ago
ConvergeHEALTH Life Sciences - Product Forward Deployed Engineer - Products & Platforms
Deloitte
Chicago, IL
…sciences enterprise. Converge by Deloitte combines proprietary data assets, advanced analytics, and AI-driven decision intelligence to help pharmaceutical, biotech, and medical product…
Added 1 min ago
Senior Manager Data Engineer (Databricks, Pyspark, Snowflake)
Capital One
Chicago, IL
Chicago, IL: $209,000 - $238,500 for Sr. Manager, Data Engineer

Newell Brands

Forward Deployed Engineer

Hoboken, United States

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Job details

Posting language: English
Posted: Oct 30, 2026

Original job description

Job ID: 19184

Alternate Locations:

Newell Brands is a leading consumer products company with a portfolio of iconic brands like Graco®, Coleman®, Oster®, Rubbermaid®, Sharpie® and Yankee Candle® - and 24,000 talented teammates around the world. Our culture is built on values in action: Integrity, Teamwork, Passion for Winning, Ownership, and Leadership. We work together to win, grow, and make a real impact - supported by a high-performing, inclusive, and collaborative environment where you can be your best, every day.

We are building AI-enabled capabilities that help our marketing, eCommerce and content teams work faster and smarter, starting with content optimization and extending to other needs as they come up. The Forward Deployed Engineer designs and builds the solutions. You will work directly with the teams who own content, product data, creative, syndication and other marketing and eCommerce workflows, learn how their work gets done and build with them. This role is focused on building, and you will report to the Head of Digital Product & Innovation, eCommerce, who leads product strategy and stakeholder alignment. You will work closely with your leader on the product vision, using what you learn in the field to inform what we build next and why. What you build in the field informs what gets productized, and what gets productized is then deployed back into the business. This is a hands-on, high-visibility role.

Responsibilities

Discover and Design

Work with New Item Setup, Marketing, Brand, eCommerce, Content, Media, Commercial and IT teams to map how work gets done and find where data issues, handoffs and rework slow teams down
Take on new marketing and eCommerce needs as they come up, from workflow automation to analytics and reporting, and help prioritize them alongside ongoing work
Find the underlying problem behind each request, and turn business requirements into scoped technical solutions with clear specifications and success metrics
Contribute to architecture choices for each AI solution, including models, orchestration and data design, in partnership with enterprise IT, and recommend a different approach when the request is not the best fit

Build and Deploy

Build and own technical components from design through deployment, testing and monitoring in production
Rapidly prototype and deploy solutions such as AI agents, workflow automations, integrations, data pipelines and lightweight applications, then take them from prototype to production to meet enterprise standards
Build and deploy AI agents and workflows that take action in business systems, including prompts, tool calls, retrieval and context layers
Develop classification and enrichment models, such as those that map, validate and generate product attributes and categories against our taxonomy and retailer requirements
Train, tune and deploy machine learning models that extract and classify information from text, images and documents, such as product attributes against our taxonomy, at scale
Choose the right approach for each use case, from rules and classical models to fine-tuned and LLM-based extraction, and design feedback loops that retrain models using human corrections
Connect copy and generative AI content capabilities into connected workflows, using a blend of AI within custom Azure solutions and enterprise tools such as Adobe and Salsify
Build data pipelines and integrations across Azure, enterprise data platforms and the commercialization stack: product information management (PIM), syndication and digital asset platforms (Stibo, Salsify, Adobe)
Work with enterprise IT to meet requirements for security, access control and data governance, and to integrate with legacy systems
Use Claude Code and similar AI-assisted development tools daily to build and test faster

Operate and Improve

Test AI output with defined test sets, quality metrics and human review
Measure extraction and classification performance by attribute using precision, recall and F1 on labeled datasets, and track confidence thresholds, error patterns and model drift over time
Monitor deployed solutions, find the root cause when issues occur and fix them
Build dashboards that report solution health and business results: cycle time, data quality, cost avoidance and content readiness
Help measure and report impact in terms stakeholders and finance care about, such as time saved, cost avoided, revenue influenced and quality improved
Document solutions and train business teams to use and extend them independently, gathering feedback and iterating until the solution is part of how the team works

Inform the Product

Contribute to the product vision and roadmap alongside your leader, combining what you learn in the field with their strategy and priorities
Turn repeated field needs into reusable capabilities, and help decide what to build once, what to configure and what not to build
Bring data, working demos and clear technical recommendations to stakeholder discussions to help reach decisions
Keep stakeholders informed by communicating progress, tradeoffs and risks clearly to both working teams and senior leaders
Stay current on new AI tools and methods, and recommend when to adopt, build or retire a capability

Qualifications

Bachelor's degree in computer science, engineering, data science or a related field, or equivalent practical experience
Five or more years in software engineering, data engineering, solutions engineering or a similar role such as forward-deployed engineering or consulting, including technical delivery for customers or business teams
Strong Python and SQL skills
Software engineering fundamentals, including version control, code review and automated testing
Experience with Azure and DevOps practices, including CI/CD, infrastructure as code and cloud deployment
Experience in data science, including feature engineering, model selection, validation and statistical evaluation, and moving models from experiment to production
Hands-on machine learning for information extraction and classification, such as named-entity recognition, multi-label and hierarchical classification, embeddings, and fine-tuning of transformer or large language models
Experience building with large language models, agent frameworks and orchestration, prompt and context design, evaluation and monitoring
Experience with classification, taxonomy mapping or entity-resolution models
Working knowledge of current AI tools and methods, with examples of what you have built or tested

Newell Brands (NASDAQ: NWL) is a leading global consumer goods company with a strong portfolio of well-known brands, including Rubbermaid, Sharpie, Graco, Coleman, Rubbermaid Commercial Products, Yankee Candle, Paper Mate, FoodSaver, Dymo, EXPO, Elmer’s, Oster, NUK, Spontex and Campingaz. We are focused on delighting consumers by lighting up everyday moments. Newell Brands and its subsidiaries are Equal Opportunity Employers and comply with applicable employment laws. EOE/M/F/Vet/Disabled are encouraged to apply.

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