We're looking for a Data Engineer to join our Data & Analytics team and take ownership of the data infrastructure that powers our internal analytics and reporting capabilities. You'll be the primary technical resource responsible for maintaining and evolving our ELT pipelines and Snowflake data warehouse, working closely with a team of analysts and systems administrators who depend on reliable, well-structured data to do their jobs.
Essential Duties and Responsibilities:- Own the day-to-day operation, maintenance, and enhancement of our ELT pipelines and Snowflake data warehouse
- Diagnose and resolve pipeline failures, data quality issues, and performance bottlenecks
- Design, build, and document new data models and transformations as analytical needs evolve
- Ensure data reliability, consistency, and availability for downstream consumers
- Support and extend API integration workflows built on Boomi and Python
- Maintain and contribute to custom Python applications developed by the team
- Collaborate with internal stakeholders to scope and deliver new data integration projects
- Contribute to the evaluation of modern data tooling options as we assess potential improvements to our current architecture
- Document systems, processes, and decisions to build institutional knowledge over time
Qualifications and Skills:- Bachelor's Degree in Computer Science, Information Systems, Statistics or similar subjects is preferred
- 3-5 years of hands-on experience in a data engineering role
- Strong proficiency with SQL and data modelling concepts for analytical workloads
- Practical experience with Snowflake or a comparable cloud data warehouse platform
- Familiarity with ELT/ETL pipeline concepts and tools - you don't need to know our specific stack on day one, but you should be able to learn it quickly
- Experience with WhereScape RED, Matillion, Airbyte, dbt, or comparable ELT automation tools
- Working knowledge of Python for data processing and scripting
- Experience with API integrations and working with REST-based data sources
- A methodical approach to troubleshooting - comfortable digging into unfamiliar systems to find the root cause
- Experience with GitHub for version control
Ability to:- Support and extend API integration workflows built on Boomi and Python
- Maintain and contribute to custom Python applications developed by the team
- Collaborate with internal stakeholders to scope and deliver new data integration projects
Additional Skills:- Exposure to enterprise integration platforms (Boomi or similar iPaaS tools)
- Experience with Oracle EBS and SalesForce
- Familiarity with data pipeline orchestration concepts
- Experience working closely with BI or analytics teams as a technical partner
Cleveland Steel Container was founded in 1963 to provide customers with a dependable steel pail. Currently, we have four pail plants located strategically throughout the United States to support our customers. At our Streetsboro facility, we have a metal stamping plant to provide component parts for our pails. Our goal is to continuously provide our customers with quality pails through excellent service at an outstanding value. Finally, we make good pails and deliver them on time!
Cleveland Steel Container offers a competitive salary based on commensurate experience and a comprehensive benefits program that includes medical, dental, and vision insurance, flexible spending accounts, 401k with company contribution, profit sharing, paid holidays and vacations, life insurance and short & long-term disability coverages along with an Employee Stock Ownership Plan (ESOP).
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