Data strategy consulting and data-as-a-service for utilities
Open Insights is a data consultancy and data-as-a-service provider whose stack centers on Databricks, Spark, Snowflake and the Azure data suite (Synapse, Data Lake, Data Factory), alongside legacy Teradata and SQL Server. Senior-weighted data hiring plus a security role tied to SOC 2, GDPR and CCPA compliance suggests the firm is hardening its own DaaS product for regulated clients, with MLflow and Domino pointing to growing ML delivery.
Open Insights is a privately held, US-headquartered firm with 201–500 employees. It advises organizations on data strategy and technology architecture, and offers data-as-a-service with a focus on the utility sector. Its engineering work spans Python, Java and Scala on Apache Spark and Databricks, with warehousing across Snowflake, Teradata and Azure Synapse. Delivery runs on both Azure and AWS, with Kubernetes and MLOps tooling supporting machine learning workloads.
Open Insights uses Python, Java, Scala, Apache Spark, Databricks, Snowflake, Teradata, Azure Synapse, Azure Data Factory, Azure Data Lake, AWS, Kubernetes, MLflow and Domino.
Yes. Hiring is accelerating and concentrated in the data department, mostly at senior level, with additional demand in security.
Job posts point to development of the company's own data-as-a-service product and machine learning model development, alongside SOC 2, GDPR and CCPA compliance work.
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Open Insights'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.