Introduction
At Senneca, we embrace the entrepreneurial spirit of the innovators that created our brands from traffic doors, to cold storage doors to fiberglass doors and beyond. We are committed to exceeding our customers’ expectations and to provide doors that offer safety and protection to our customers’ most important assets…people, products, capital investments and processes.
Overview
As a Data Engineer at Senneca, you will join a high-impact, stakeholder-facing team building a modern, cloud-native data platform. Reporting to the Director of Data Architecture, you will work across the full data stack—from ingestion to transformation and delivery—while supporting data governance and enabling confident, data-driven decision-making.
You will leverage tools such as Snowflake, dbt Fusion CLI, Fivetran, and Python (Snowpark), following best practices in CI/CD, data quality, and treating data as a product. This is a hands-on, build-focused role in a greenfield environment.
Responsibilities
- Build and maintain data pipelines using Fivetran and custom solutions
- Develop and manage dbt models across all data layers (staging to reporting)
- Optimize Snowflake performance, cost, and infrastructure
- Implement and support data governance, quality, and documentation standards
- Collaborate with BI teams (Power BI) to enhance reporting and semantic models
- Maintain internal data tools and ensure clean, reliable downstream data
- Participate in code reviews, CI/CD practices, and development standards
- Monitor and resolve data quality issues using observability tools
- Partner with stakeholders to translate business needs into technical solutions
Requirements
Required Experience & Education
- 2+ years of experience in data engineering or similar role
- Proficiency in Snowflake (or similar), SQL, and performance optimization
- Hands-on experience with dbt and ELT tools (e.g., Fivetran)
- Working knowledge of Python for data pipelines
- Experience with Git, CI/CD, and documentation best practices
- Bachelor’s degree in a related field or equivalent experience
Desired Qualifications
- Experience with data observability/quality tools (e.g., Elementary, dbt Expectations)
- Knowledge of data governance (ownership, access control, masking)
- Exposure to Power BI or similar BI tools
- Experience in manufacturing or multi-site environments
- Familiarity with data science or machine learning workflows
Additional Skills (Nice To Have)
- Polymer processing experience (extrusion, rotational molding)
- Strong analytical, statistical, and process improvement skills
- Experience leading cross-functional projects
- Knowledge of manufacturing processes and safety standards
Core Competencies
- Technical expertise, curiosity, strong communication, collaboration, ownership mindset, adaptability, and business acumen.
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