Top 21140 Data transmissions engineer Jobs

Data Engineer
Cleveland Steel Container Corporation —Hudson, OH
- Computer science
- Computer Science
- Mid-level
- Profit sharing
- Paid holidays
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Data Engineer

Cleveland Steel Container Corporation -
Hudson, OH

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Job Details

Benefits

Profit sharing
Paid holidays
Disability insurance
Health insurance
Dental insurance
401(k)
Flexible spending account
Vision insurance
Employee stock ownership plan
Life insurance

Qualifications

Salesforce API integration
Data integrity assurance
Data model design
Data quality checks
Commercial use (data warehousing systems)
Computer science
Systems integration
Data Integration (Data management)
Defect resolution root cause analysis
Statistics
Computer Science
Application systems
Cloud data warehouses
Data modeling projects
Bachelor's degree in statistics
Tooling
Defect analysis
Information Systems
Mid-level
Schema design
3 years
Snowflake
SQL
Data integrity and documentation
Data Architecture Design (Architecture design skills)
Salesforce Cloud
ETL process automation
Bachelor's degree
Data integrity process (data warehousing)
Version control systems

Full Job Description

Cleveland Steel Container, an Employee Owned and World Class Steel Pail Manufacturing company, is seeking an enthusiastic, responsible, and customer-oriented individual that has a positive attitude and shares the values of our company culture, which is built around teamwork, family, honest communication and producing desirable results for our Hudson, OH corporate office.

INDUSTRY LEADING BENEFIT PROGRAM THAT INCLUDES LOW EMPLOYEE PREMIUMS FOR MEDICAL INSURANCE, UNMATCHED RETIREMENT PROGRAMS AS AN EMPLOYEE OWNER. DENTAL, VISION, LIFE AND DISABILITY INSURANCES. NEW EMPLOYEES ARE ELIGIBLE FOR 15 DAYS OF PAID VACATION PER CALENDAR YEAR AND 11 PAID COMPANY HOLIDAYS.

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).

#INDC

Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights (https://www.eeoc.gov/poster) notice from the Department of Labor.

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