Data engineering and IT services focused on healthcare and life sciences
Silicontek operates as a data services firm built on AWS and Databricks infrastructure, with active investment in BI tooling (adopting Power BI alongside Tableau) and AI-driven analytics (Salesforce Einstein Analytics). The hiring mix—7 of 9 open roles in data, skewed senior—reflects a pivot toward data platform delivery rather than general staffing. Active projects (governed data models, enterprise platform delivery, clinical data infrastructure) confirm a shift from IT consulting into specialized healthcare data engineering.
Notable leadership hires: Tech Lead - Clinical Data
Silicontek is a San Jose–based IT services and software development firm founded in 2017, operating across staffing, solutions delivery, and data engineering. The company serves mid-market and enterprise clients, with visible depth in healthcare and life sciences (clinical data leadership roles, revenue cycle management, CDISC compliance in stack). Core delivery spans data platform architecture (Databricks, Snowflake, AWS), ETL modernization (Apache Airflow, Glue, rearchitected extracts), and analytics applications (Tableau, Power BI, emerging AI features). Pain-point patterns—scalable pipelines, delivery governance, secure analytics, client-offshore coordination—suggest a business handling complex, regulated data migrations for clients at scale.
Databricks, Delta Lake, AWS (EMR, Athena, Glue, Lambda, RDS, Redshift, API Gateway), Apache Airflow, Python, PySpark, Snowflake, Tableau, Power BI, BigQuery, Dataform, and GCP services. Currently adopting Salesforce Einstein Analytics and Power BI for BI/AI.
San Jose, California. Founded in 2017, privately held, 51–200 employees, currently hiring in the United States.
Silicontek Inc'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.