Staff Data Engineer
Company: Forterra
Location: Remote (Remote)
Salary: $145,000 - $175,000 a year
Type: Full-time
Remote: Yes
Posted: 2026-06-15
About this role
About Forterra
Forterra is a leading provider of autonomous systems for ground-based movement in the working world. Amongst some of the earliest innovators in the field of driverless technology, Forterra is focused on building systems that protect front-line soldiers and enable civilian workers in our industrial base. Forterra is the go-to provider of ground autonomy solutions for the U.S. Department of Defense, which harnesses the technology for asymmetric warfare in critical conditions.
About the role
- The Forterra Data Team is seeking an experienced Staff Data Engineer to support the implementation and development of data pipelines, the data warehouse, and other key components of the data platform. In this role, you will be instrumental in building the data foundation that enables insights for developing a best-in-class ecosystem of autonomy products
What you'll do
- Build and orchestrate pipelines for ingestion and transformation of data collected from Forterra's vehicles and internal systems.
- Design, build, and maintain our enterprise data warehouse on Snowflake, ensuring optimal performance, cost-efficiency, and scalability.
- Gather requirements from both technical and non-technical stakeholders to deliver end-to-end data products.
- Support user and role provisioning, implement RBAC policies, support audits and conduct user access reviews.
- Establish data modeling standards and data governance frameworks, creating dimension and fact tables that serve analytics, machine learning, and reporting use cases.
- Implement data quality monitoring, anomaly detection, tests, and alerting. - Document definitions, metrics, and KPIs and assist in the development of a data dictionary.
Qualifications
- 6+ years of hands-on experience in data engineering, data warehousing, or analytics engineering roles.
- Expert SQL knowledge and Python proficiency.
- Experience with the modern data warehouses (Snowflake, Redshift, BigQuery, etc), data transf...