IT staffing and custom software development with cloud modernization focus
H3 Technologies operates as both an IT staffing firm (contract, contract-to-hire, permanent) and a software development shop. The tech stack reveals a heavy enterprise-data footprint—Ab Initio, Redshift, Hive, Oracle, Databricks—with active projects centered on legacy modernization (Ab Initio → PySpark conversion) and cloud migration, now extending into AI (proof-of-concepts, LLM-backed content generation, RAG solutions). Hiring velocity is accelerating across senior and mid-level engineering and data roles, signaling execution capacity scaling rather than new business pivots.
H3 Technologies is a 51–200 person IT staffing and software development company based in Florence, Kentucky, operating since 2006. The firm is certified as a minority and women-owned business. Service lines include contract staffing, contract-to-hire, permanent placement, and both onshore and offshore software development. Technical specialization spans Java, microservices, Oracle HCM, NetSuite, RPA automation (Power Apps, Power Automate), and cloud platforms (Azure, AWS, Oracle Cloud). Active project work includes enterprise data pipeline migration, cloud infrastructure transitions, and emerging AI implementations (agents, generative solutions).
Primary: Ab Initio, Redshift, Hive, Oracle, Databricks, Azure, AWS, SQL Server, Salesforce, ServiceNow, Java, PL/SQL. Adopting: PySpark. Focus areas include data warehousing, ETL, cloud platforms, and enterprise resource planning tools.
Legacy modernization (Ab Initio to PySpark conversion), cloud data pipeline migration, Enablon implementations, AI proofs-of-concept (marketing, sales pipeline use cases), and LLM-backed content generation with retrieval-augmented generation (RAG).
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h3 Technologies, LLC'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 →
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