
51 - 200 employees
Founded 2019
🤖 Artificial Intelligence
🏢 Enterprise
🤝 B2B
Artificial Intelligence • Enterprise • B2B
Cuesta Partners is a management and technology consulting firm that helps organizations translate strategy into measurable outcomes, specializing in AI, data, and technology-driven transformations. The firm provides services across mergers & acquisitions (technology diligence and integration), technology strategy, data strategy and execution, AI strategy and implementation, and delivery & transformation to accelerate time-to-value for enterprise clients. Cuesta works with private equity, healthcare, pharma, distributors, and other mid-market and enterprise companies to unlock value through AI-ready data platforms, analytics, and operational change.
🕒 May 15
Improve your chances of getting an interview by checking your resume score before you apply.

51 - 200 employees
Founded 2019
🤖 Artificial Intelligence
🏢 Enterprise
🤝 B2B
Artificial Intelligence • Enterprise • B2B
Cuesta Partners is a management and technology consulting firm that helps organizations translate strategy into measurable outcomes, specializing in AI, data, and technology-driven transformations. The firm provides services across mergers & acquisitions (technology diligence and integration), technology strategy, data strategy and execution, AI strategy and implementation, and delivery & transformation to accelerate time-to-value for enterprise clients. Cuesta works with private equity, healthcare, pharma, distributors, and other mid-market and enterprise companies to unlock value through AI-ready data platforms, analytics, and operational change.
• Design the business data model based on the discovered business processes and data analysis • Set the standard for AI-augmented development practices — ensuring projects are structured and tooled in ways that allow coding agents to operate effectively, and coaching the team to work the same way. • Translate business requirements into technical design specifications, including data streams, integrations, transformations, databases, and data warehouses. • Develop work estimates for Data Warehouse & Data Lake deliverables • Coach and mentor a team of a few dozen data engineers, analysts and ML Engineers on data architecture and modeling best practices • Define the data architecture framework, standards, and principles, including modeling, metadata, security, reference data such as product codes and client categories, and master data such as clients, vendors, materials, and employees • Define reference architecture, which is a pattern others can follow to create and improve data systems • Define data flows, i.e., which parts of the organization generate data, which require data to function, how data flows are managed, and how data changes in transition • Collaborate and coordinate with team members, clients and external SMEs
• Bachelor’s degree in a technical or quantitative field (e.g. Computer Science, Math, Economics Statistics) • 10+ years of work experience in the data analytics space • Active, hands-on experience using AI-assisted development tools (e.g., Cursor, Claude Code, Codex, or similar) in your daily workflow — including building working prototypes, agentic pipelines, RAG systems, or LLM-powered data and analytics products — is a strong asset. • Previous experience in the consulting space is a plus • A passion for exploring and solving different kinds of problems • A desire to learn and assimilate technical information quickly • Hands-on experience deploying solutions in large-scale, high performing databases • Expertise aligned to technologies listed in Key Areas of Focus
• Constant opportunities for exposure & learning • Flexible working location and enabling personal-life harmony with work • Agency and influence in the company’s total strategy and direction • Collaboration with a high-performing team • Competitive base salary (outlined in this listing) and target bonus of 20-25% • Supplemental Health, Dental, Vision, and Life insurance
Apply Now🕒 May 15
ML Data Engineer responsible for designing and developing AI platforms at Newfold Digital. Collaborating across teams to integrate and optimize data sources for AI-driven applications.
🕒 May 14
Senior Data Engineer at Datatonic working across varied projects using Google Cloud and the Modern Data Stack. Involves designing data pipelines and collaborating with multiple technology partners.
🇨🇦 Canada – Remote
💵 CAD$110k - CAD$140k / year
💰 Pre Seed Round on 2013-01
⏰ Full Time
🟠 Senior
🚰 Data Engineer
🕒 May 13
Senior Data Engineer at Fullscript transforming messy healthcare data into actionable insights for 125,000+ practitioners. Collaborating closely with product partners and optimizing data workflows.
🕒 May 5
Principal Software Engineer leading architecture and development of BI solutions for Verint. Collaborating with global teams to reshape customer experiences with advanced data insights.
🕒 May 5
AI Data Platform Lead overseeing data architecture for AI within Agiloft's operations. Leading cross-departmental data infrastructure design and governance for AI applications.