Indxx operates a mature data infrastructure stack (Python, PostgreSQL, Snowflake, BigQuery, Airflow, dbt) built to support index calculation and distribution at scale. The tech shape—polyglot databases plus modern orchestration—reflects their core challenge: moving structured market data through complex ETL pipelines into a warehouse layer. Hiring is minimal (6 open roles, none posted in 30 days) and concentrated in engineering and data roles, suggesting a stable, operationally-focused phase rather than growth mode.
Indxx is a financial-services index provider founded in 2005, offering end-to-end indexing services, index administration, and white-label solutions to the investment management industry. Headquartered in Miami with engineering presence in India, the company serves institutional clients who need custom indices calculated, managed, and tracked. Their operational backbone is a data warehouse and pipeline architecture spanning PostgreSQL, MySQL, MongoDB, and cloud warehouses (Snowflake, BigQuery, Redshift), orchestrated via Airflow and dbt for transformation. The organization is small (51–200 employees) and distributed.
Python, PostgreSQL, MySQL, MongoDB, Snowflake, BigQuery, Redshift, Airflow, dbt, React, Docker, Kubernetes, AWS, GCP, and Azure. Stack leans heavily toward data pipelines and warehouse infrastructure.
Miami, Florida. The company also operates engineering and data teams in India and has active hiring in South Korea.
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