Data engineering consultancy building AI-ready pipelines and infrastructure
Lineate is a New York data engineering services firm whose stack spans Airflow, dbt, Spark, Kafka, ClickHouse, Snowflake, Databricks and Microsoft Fabric across AWS, GCP and Azure, the breadth of a shop delivering for many client environments. Current job posts point to a real estate and mortgage technology platform, time-series infrastructure on ClickHouse-style workloads and AI-agent automation. Senior data and engineering hires are being added in Armenia and Georgia.
Lineate, founded in 2005 and headquartered in New York, NY, is a privately held firm with 51–200 employees. It designs and builds data pipelines, governance layers and integrations that let mid-market companies put AI into production on top of their proprietary data. The firm has deep roots in FinTech, AdTech and HealthTech work, including audience targeting, attribution modeling, real-time reporting and machine learning data pipelines. Delivery engineering draws on Python, Java with Spring Boot, TypeScript and React alongside multi-cloud deployments on AWS, GCP and Azure.
Lineate works with Python, Apache Airflow, dbt, Apache Spark, Kafka, ClickHouse, Snowflake, Databricks and Microsoft Fabric, plus Java, Spring Boot, PostgreSQL, Redis, Temporal, Kubernetes and Docker across AWS, GCP and Azure.
Lineate's current openings are in Armenia and Georgia, focused on senior-level data and engineering roles, with hiring momentum accelerating.
Job posts reference a real estate and mortgage technology platform, AI-agent-driven operational automation, high-performance time-series data infrastructure, lakehouse integration, observability upgrades and BYOC deployments on AWS.
Other companies in the same industry, closest in size
Lineate'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.