Data Engineer

Process Engineer

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

Process Engineer – Cincinnati, OH (HQ)

We are seeking an experienced Process Engineer to join our team at our Cincinnati headquarters.

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

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. This is a hands‑on, build‑focused role in a greenfield environment using tools such as Snowflake, dbt Fusion CLI, Fivetran, and Python (Snowpark).

• 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 and CI/CD best practices
• Monitor and resolve data quality issues
• Partner with stakeholders to translate business needs into technical solutions

• 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
• Must be authorized to work in the United States on a full‑time basis

• 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

• Polymer processing experience (extrusion, rotational molding)
• Strong analytical and process improvement skills
• Experience leading cross‑functional projects
• Knowledge of manufacturing processes and safety standards

• Technical expertise, curiosity, strong communication, collaboration, ownership mindset, adaptability, and business acumen

• Salary:
  Exempt
• Travel:
  Up to 20%

Ability to sit, stand, and walk for extended periods; lift up to 20 lbs occasionally

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