Data Engineer
Fluidstack1 month ago
Base Salary
$224k - $279k/yr
Responsibilities
- Build and operate pipelines that consolidate data from ERP, ATS, project management, construction software, and telemetry systems into a queryable layer.
- Own schemas and the data model for a knowledge graph covering sites, equipment, schedules, and people.
- Ship datasets and services with SLAs for internal tools, dashboards, and ML models.
- Extract and structure data from vendors, field systems, PDFs, spreadsheets, and exports.
- Implement data quality through testing, monitoring, and lineage.
Requirements
- Experience building and operating production data pipelines depended on by other teams’ products.
- Experience modeling messy real-world domains into durable schemas.
- Treat data quality as an engineering problem involving tests, monitoring, and lineage.
- Experience extracting structured information from unstructured sources.
- Ability to work quickly with AI tools and modern data stacks while maintaining a clean data environment.
- Preferred experience with Postgres, dbt, warehouse internals, streaming, eventing, LLM-based extraction, or construction, manufacturing, and supply chain data.
Benefits
- The company states a commitment to pay equity and transparency.
- Fluidstack is an equal employment opportunity employer.
Tech Stack
dbtPostgreSQL
Categories
Data Engineering
About Fluidstack
Fluidstack provides on-demand GPU cloud infrastructure for AI training and inference, offering dedicated clusters of NVIDIA H200 and GB200 systems. The company sells compute capacity and managed clusters to AI labs, enterprises, and public-sector teams that need high-throughput workloads. Founded in 2017 and headquartered in New York, it is privately held.