Staff Data Engineer: Data Platform & Analytics Lead

Forterra

Clarksburg (MD)

On-site

USD 145,000 - 175,000

Full time

14 days+

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Benefits offered by this job

Premium Healthcare Benefits
Life/AD&D and disability insurance
Generous holiday calendar
20 days PTO per year
7 weeks paid parental leave
Tuition reimbursement ($9k/year)
401(k) with 4% match

Job summary

Forterra is seeking a Staff Data Engineer to help build and operate the data foundation for its autonomous systems platform. You will own ingestion pipelines, warehouse design in Snowflake, and governance frameworks to support analytics, ML, and reporting across multiple teams.

The role requires substantial experience with SQL, Python, cloud data warehouses, and modern orchestration tools, with a focus on scalable, cost-efficient architectures and data quality practices.

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.

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.

Skills

SQL
Python
Snowflake
Redshift
BigQuery
dbt
Airflow
Dagster
Prefect
CI/CD
Infrastructure as Code
MLOps
AI/ML

Education

Bachelor's Degree in STEM

Tools

dbt
Airflow
Dagster
Prefect
CI/CD

Job description

Forterra is seeking a Staff Data Engineer to help build and operate the data foundation for its autonomous systems platform. You will own ingestion pipelines, warehouse design in Snowflake, and governance frameworks to support analytics, ML, and reporting across multiple teams.

The role requires substantial experience with SQL, Python, cloud data warehouses, and modern orchestration tools, with a focus on scalable, cost-efficient architectures and data quality practices.

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