Process Engineer 


We are searching for an experienced Process Engineer - Cincinnati, HQ

• Medical
  
• Dental
  
• Vision
  
• 401k with company match
  
• 3 weeks PTO
  
• 9 paid holidays in 2026
  
• Career development and tuition assistance
  
• Diverse, inclusive, and welcoming culture

Job Summary:

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.

Key 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

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.

Additional Details
Salary: Exempt
Travel: Up to 20%
Physical Requirements: Ability to sit, stand, walk for extended periods; lift up to 20 lbs occasionally

Our company provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics.

**Please no Third-party candidates or phone calls**