Jobs at Cuesta Partners

The Associate Recruiter will assist in talent acquisition, candidate engagement, interview coordination, and ensure an excellent candidate experience.

The Data & AI/ML Solutions Architect designs cloud-native architectures, advises clients on AI strategies, mentors teams, and evaluates emerging tools.

As an Associate Consultant, you'll design and execute technology strategies, manage project plans, and translate client needs into technical solutions, while engaging with stakeholders at various levels.

As a Data Scientist, analyze complex datasets, build predictive models, and deliver data-driven solutions while mentoring others and collaborating with clients.

Responsible for leading data engineering efforts, mentoring teams, and delivering end-to-end data solutions while ensuring best practices and quality standards. The role involves collaborating with various stakeholders to optimize data architecture and contribute to strategic decision-making.

The Data Visualization Engineer designs and implements data models and visualizations in Power BI while ensuring data accuracy and quality for clients' decision-making processes.

As a Data Analyst, you will deliver data solutions, optimize data pipelines, and provide actionable insights while collaborating closely with team members and stakeholders.

Looking for a Data Engineer to develop data solutions, optimize data pipelines, and support business analytics with technical expertise in SQL and ETL tools.

The Data Architect will design business data models, define data architecture frameworks, mentor teams, and enhance data governance across AI and data initiatives.

Lead technology due diligence assessments for M&A transactions, provide strategic client advisory, manage technology risks, and mentor junior team members.

This role involves leading technology due diligence for private equity transactions, advising clients on tech-related risks and opportunities, and managing teams.

The Databricks Architect leads data engineering solutions, designing scalable Databricks platforms and managing cloud implementations. They work with clients, ensuring technical alignment and project execution.

Design business data models and data architectures, mentor data teams, translate business requirements into technical specifications, and set standards for AI-augmented development practices.