Technology and data consulting for due diligence, integration and value creation
Cuesta Partners is a Chicago technology consultancy whose project mix — technology due diligence, post-transaction integration and value creation strategy — points to a deal-driven client base. Its stack spans nearly every major warehouse and BI tool (Snowflake, Databricks, BigQuery, Microsoft Fabric, Power BI, Tableau), typical of a vendor-agnostic data practice. Hiring is data- and engineering-heavy across the US and Colombia, though velocity is slowing.
Notable leadership hires: Tech Lead, Data Technical Lead
Cuesta Partners is a Chicago-based consulting partnership founded in 2019, with 51–200 employees. The firm helps business leaders apply digital and data technology to create value, with a hands-on delivery model staffed by people who have operated companies. Engagements include technology due diligence, post-transaction integration, cloud data platform implementations and data architecture design. Delivery teams work across AWS, Azure and GCP, building pipelines with tools such as Databricks, dbt, Fivetran and Airflow. The firm hires in the United States and Colombia.
Cuesta works across AWS, Azure and GCP with Snowflake, Databricks, BigQuery, Redshift, Microsoft Fabric, dbt, Fivetran, Airflow and Python, plus BI tools like Power BI, Tableau, Looker and Qlik.
Its work includes technology due diligence, post-transaction integration, value creation strategy, cloud data platform implementations, data warehouse and lake builds, and data architecture design.
Cuesta is headquartered in Chicago, Illinois and hires in the United States and Colombia, mostly for senior and mid-level data and engineering roles.
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Cuesta Partners's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.