Data, AI, & Intelligence Talent Solutions
Turning Raw Data Into Automated Decision-Making.

Architecting the Modern Data Stack
We don't just find "data people." We deploy the specialists who build the pipelines, models, and governance frameworks that turn raw information into competitive advantage.
Positions We Commonly Fill
AI/ML
- Machine Learning Engineer
- AI Product Engineer
- Deep Learning Engineer
- Computer Vision Engineer
AI Ops
- AI Infrastructure Engineer
- MLOps / AI Ops Engineer
- Prompt Engineer
- AI Governance Manager
Data
- Data Scientist
- Data Engineer
- Data Architect
- ETL Developer
- BI Architect/Analyst
- Data Migration Specialist/Analyst
Why is Specialized AI and Data Staffing Critical in 2026?
Traditional tech recruiting often misses the nuance between a Data Engineer and an MLOps Specialist. To achieve model accuracy and scalable data pipelines, companies need talent that understands the intersection of clean code, mathematical modeling, and cloud infrastructure. Our specialty is bridging the gap between high-level AI strategy and technical execution.


Calibrated Solutions for Your Data & Analytics Needs
We bridge diverse data and highly qualified people to uncover impactful insights and drive evidence-based decisions through innovative solutions. Our data and analytics solutions strive to accelerate decision-making through building connections between data and people, distributing actionable insights enterprise-wide, and advancing a data-driven culture.
What is the Market Rate for Data, AI, & Intelligence Professionals in 2026?
The competition for specialized
Data, AI, and Intelligence
talent is fiercer than ever. Our
2026 Technology Salary Guide gives you the advantage with exclusive, location-specific data for the Bay Area, Boston, and Southern California. Benchmark compensation for 75 elite roles, including our definitive list of the
Top 12 AI & Machine Learning Roles for 2026.
DeWinter Delivers Data and Analytics Solution to Industry-Leading Social Media Company
See how the DeWinter's technology team supported our longtime client, an industry-leading social media company based in the Bay Area, when they needed to augment teams that provided Data Analytics and workflow tooling across a 1,500-person Engineering and Product organization.

What Our Clients Have To Say
Our Insights
Frequently Asked Questions: DeWinter Data, AI, & Intelligence Services
Got questions about our Data & Analytics talent solutions? We’ve got answers! Here are some of the most common inquiries we receive from our partners.
What Data & Analytics staffing solutions does DeWinter offer?
We specialize in providing top-tier data talent to help businesses make informed decisions and drive innovation. Our solutions connect companies with an exclusive network of data science professionals, from individual contributors to entire teams, for a variety of data projects and positions.
What types of data projects and roles do you staff for?
Search our Technology Talent BoardOur staffing solutions cover a wide range of in-demand data and analytics roles, including:
- Data Scientists
- Data Engineers
- Machine Learning Engineers
- AI Engineers
- Data Analysts
- Data Architects
We help with projects spanning Data Pipelines, Data Mining, Data Visualization, Business Intelligence, and more.
Do you have salary benchmarking for data & analytics roles?
2025 Mid-Year Technology Salary GuideYes, DeWinter’s technology salary guides and industry reports provide comprehensive compensation data for top data and analytics professionals and allows you to compare salaries across the Bay Area, Boston, and Southern California.
Access our 2025 Mid-Year Technology & Digital Salary Guide and Industry Report at the link below.
How can I find data & analytics consultant support?
Get in TouchThe DeWinter Technology team is ready to help you create an impactful, tailor-made staffing solution for your data and analytics needs. Start a conversation today.

Solutions With Impact
Find out how our network of top-tier consultants can help meet your needs at any stage.









