# Staff Data Engineer

**Company:** [Forterra](https://hotfix.jobs/companies/forterra)
**Location:** Arlington, VA
**Role:** Data Engineering
**Salary:** $145k – $175k/yr
**Experience:** 7+ years
**Skills:** SQL, Python, Snowflake, dbt, Airflow, Dagster, prefect, AWS, MLOps, CI/CD, Infrastructure As Code, Data Modeling, Data Governance, RBAC
**Posted:** 2026-03-19

> Build and maintain data pipelines, Snowflake data warehouse, and governance frameworks to support analytics, ML, and autonomy product development at Forterra. Requires 6+ years data engineering experience, expert SQL/Python, and modern data stack proficiency.

## Job Description

## 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 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.

## Preferred Qualifications
- Big Data/IoT Data experience.
- Experience working with unstructured data.
- Experience working with GovCloud and FedRamp.

## Education
- Bachelor's Degree in STEM field or Related degree.

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**Canonical:** https://hotfix.jobs/jobs/9bcff0d8-a86a-4dd0-924a-b58488f91947