Staff Data Engineer

Forterra is a leading provider of autonomous systems for ground-based movement in the working world. The Staff Data Engineer will support the implementation and development of data pipelines, the data warehouse, and other key components of the data platform, playing a crucial role in building the data foundation for autonomy products.

Responsibilities:

• 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

Requirements:

• 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 transformation, and orchestration tools (dbt, Airflow, Dagster, Prefect)
• Experience with cloud infrastructure
• Understanding of software engineering best practices including version control, CI/CD pipelines, code review processes, and infrastructure-as-code
• Understanding of MLOps and experience with implementation of AI/ML technologies
• Bachelor's Degree STEM field or Related degree
• Big Data/IoT Data experience
• Experience working with unstructured data
• Experience working with GovCloud and FedRamp