Jobs in the United States

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Added 1 min ago
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GCP data Engineer
Cognizant
Jackson, MS
- $100,000 to $120,000 USD / year
Deliver curated and well-profiled datasets supporting machine learning and entity-resolution initiatives.
Added 1 min ago
ENGINEER INDUSTRIAL 1- FALL NEW GRAD
HII
Pascagoula, MS
We build the world's most powerful, survivable naval ships and defense technology solutions that safeguard our seas, sky, land, space and cyber. HII's diverse workforce includes skilled…
Added 19 mins ago
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ML / Applied Scientist
Cognizant
Phoenix, AZ
- $115,000 to $130,000 USD / year
As an ML / Applied Scientist, you will make an impact by developing machine learning models that power entity resolution, inference, and intelligent data classification across enterprise…
Added 19 mins ago
C
GCP data Engineer
Cognizant
Phoenix, AZ
- $100,000 to $120,000 USD / year
Deliver curated and well-profiled datasets supporting machine learning and entity-resolution initiatives.
Added 24 mins ago
Enterprise Solutions Engineer, Post-Sale (Remote LATAM or US)
Whippy
Remote, United States
Hi, I'm Joe, Head of Customer Success at Whippy. I'm hiring an Enterprise Solutions Engineer to design and build the solutions our customers run their business on. This isn't a pre-sale…
Added 24 mins ago
Solutions Engineer, Post-Sale (Remote LATAM or US)
Whippy
Remote, United States
Hi, I'm Joe, Head of Customer Success at Whippy. I'm hiring a Solutions Engineer to design and build the solutions our customers run their business on. This isn't a pre-sale demo role.…
Added 24 mins ago
Associate Solutions Engineer, Post-Sale (Remote LATAM or US)
Whippy
Remote, United States
Hi, I'm Joe, Head of Customer Success at Whippy. I'm hiring an Associate Solutions Engineer to design and build the solutions our customers run their business on. This isn't a pre-sale demo…
Added 29 mins ago
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AI Solutions Engineer
Wings Credit Union
Colorado Springs, CO
- $108,000 to $126,000 USD / year
Develop prototypes, proofs of concept, and production ready solutions using modern AI technologies including generative AI, intelligent automation, machine learning, and workflow…
Added 29 mins ago
Solutions Engineer, Chrome Scaled Solutions, gUP Chrome and Web Ecosystem, gTech
Google
Boulder, CO
Experience using machine learning and building solutions.
Added 29 mins ago
SoftwareEngineer - Applied Research & Technology
Acuity Inc.
Boulder, CO
As a Research Engineer in the Applied Research & Technology team at Acuity Intelligent Spaces, you will sit at the intersection of applied machine learning research, software engineering,…
Added 30 mins ago
Manager III, Security Engineer, AWS Vulnerability Management - Third Party Software and Software Supply Chain
Amazon.com Services LLC
Austin, TX
Third-party software vulnerabilities threaten every layer of Amazon's fleet, and this team is responsible for stopping them - through automated remediation, proactive mitigation, and…
Added 44 mins ago
QA Engineer 2
Dexcom
Mesa
At the center of this mission, the Quality Engineer II plays a critical technical and leadership role. Operating as both a subject‑matter expert and strategic problem‑solver, the Quality…
Added 1 hour ago
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Machine Learning Engineer
Coframe
Burlingame, CA
- $180,000 to $300,000 USD / year
As a Machine Learning Engineer, you’ll build the models that power performance optimization at Coframe. You’ll train both foundation models and customer-specific models that predict and…
Added 1 hour ago
Senior Software Engineer - Internal AI Agent Infrastructure
Qualtrics
Seattle, WA
Machine learning experience is a plus, not a requirement.
Added 1 hour ago
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Principal Platform Software Engineer
Oracle
WA · CA
- $105,900 to $234,600 USD / year
…innovative services at the intersection of artificial intelligence and cloud infrastructure. In Generative AI Service team, you will build and operate massive-scale cloud services…
Added 1 hour ago
HPE Labs - AI/ML Engineer (Technical Lead)
Hewlett Packard Enterprise
Milpitas, CA
Strong, current depth across AI and machine learning, including supervised and unsupervised learning, deep learning, natural language processing, large language models, generative AI,…
Added 1 hour ago
Management Consultant - Data Engineer
IBM
Columbus, OH
AI Solution Development: Experience with developing and deploying AI solutions on cloud-based platforms, including natural language processing, machine learning, and deep learning. Ability…
Added 1 hour ago
Senior Cloud Engineer
Laivly
Remote, United States
Seeking curious and creative types! We are an ambitious company of innovators building and shaping the future of customer service technology. Our solutions help the world's biggest brands…
Added 1 hour ago
Sr. Software Developer
Velocity Electronics Corp.
St. Petersburg/Tampa, FL
Lead Application Development: Drive delivery across frontend, backend, cloud infrastructure, databases, integrations, and machine learning-enabled solutions.
Added 1 hour ago
Internship-Co-Op: AI Engineer
ASML US, LLC. (US01)
San Diego, CA
As an AI Engineer Co-Op, you will work alongside experienced AI architects, AI engineers, and platform engineers to design, develop, and operationalize AI solutions that support ASML's…
Added 1 hour ago
Internship- Co-Op: AI Engineer
ASML US, LLC. (US01)
San Diego, CA
As an AI Engineer Co-Op, you will work alongside experienced AI architects, AI engineers, and platform engineers to design, develop, and operationalize AI solutions that support ASML's…
Added 1 hour ago
Internship- Co-Op: AI Engineer
ASML US, LLC. (US01)
San Diego, CA
As a AI Engineer Co-Op at ASML, you will help develop data pipelines and data products that transform laser-machine and enterprise data into trusted, usable information.
Added 1 hour ago
Senior Software Engineer, AI/ML, Google Cloud Platforms
Google
Kirkland, WA
3 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision…
Added 1 hour ago
Vision System Engr 4
Lam Research
Tualatin
We are seeking a highly skilled Vision System Data Science Engineer (Level 4) to lead the design, development, and deployment of advanced computer vision and machine learning solutions for…
Added 2 hours ago
BT
AI Data Engineer - AI Training data
Blueprint Technologies
Redmond, WA · Bellevue, WA
- $150,000 to $160,000 USD / year
Experience with large-scale dataset curation and preparation for AI or machine learning model training.

IBM

Management Consultant - Data Engineer

Columbus, OH, United States

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Job details

Posting language: English
Posted: Oct 31, 2026

Original job description

Introduction

A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You'll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you'll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You'll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.

Your role and responsibilities

As a Data Engineer specializing in Data Platforms-Databricks, you will play a critical role in building and enhancing the Databricks platform for client's Data and AI use cases. This position is responsible for implementing Data and AI use cases on the Databricks platform.

Your primary responsibilities will include:

Implement Data and AI Use Cases: Design, develop, and deploy data and AI solutions on the Databricks platform to meet client needs, driving business value through data-driven insights.
Enhance Databricks Platform: Collaborate with stakeholders to identify areas for improvement and implement enhancements to the Databricks platform, ensuring optimal performance and scalability.
Drive Solution Delivery: Lead the delivery of data and AI solutions, working closely with clients to understand their requirements and ensure successful project outcomes.

*This job can be performed from anywhere in the US.

Required technical and professional expertise

Deep Expertise in Databricks: Proven experience with designing, developing, and deploying data and AI solutions on the Databricks platform, with a strong understanding of its architecture and capabilities.
Experience with Data Engineering: Skilled in data engineering principles, including data processing, storage, and retrieval, with the ability to apply this knowledge to build scalable and efficient data pipelines.
Cloud Computing Knowledge: Experience with cloud-based technologies and infrastructure, including migration, deployment, and management of cloud-based data platforms.
Certification in Data and AI: Possession of relevant certifications in data engineering, data science, or AI, demonstrating expertise in implementing data and AI use cases on cloud-based platforms.
Experience with Solution Delivery: Proven track record of leading the delivery of data and AI solutions, working closely with clients to understand their requirements and ensure successful project outcomes.

Preferred technical and professional experience

Cloud Migration Expertise: Experience with migrating data platforms to cloud-based infrastructure, including planning, execution, and post-migration optimization. Ability to assess existing infrastructure and develop strategies for seamless migration to cloud-based environments.
Advanced Data Engineering: Deep understanding of data engineering principles, including data warehousing, ETL, and data governance. Ability to design and implement scalable and efficient data pipelines, leveraging expertise in data processing, storage, and retrieval.
AI Solution Development: Experience with developing and deploying AI solutions on cloud-based platforms, including natural language processing, machine learning, and deep learning. Ability to collaborate with stakeholders to identify business opportunities and develop AI-powered solutions to drive business value.

IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

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Skills

Databricks
Negotiate with stakeholders
Cloud computing
Data engineering
Data warehousing
Process data
Natural language processing
Machine learning
Deep learning
Regulatory compliance

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