Data Engineer

Grandville, MI - USA

Monthly Salary: Not Disclosed

Posted on: Yesterday

Vacancies: 1 Vacancy

Job Summary

Data Engineer - Grandville MI

DISHER is currently partnering with a leading recycling and sustainability company that transforms scrap materials into reusable resourceshelping industries reduce waste and build a more circular economy. Theyre looking for a Data Engineer to help push their digital innovation forward.

As a Data Engineer youll sit at the intersection of data automation and applied AI. Your mission is to build intelligent data pipelines and robotic process automations that link business systems streamline workflows and increase operational efficiency. This engineer will work hands-on with technologies like Python SQL Server and modern APIsintegrating tools such as OpenAI Anthropic and Azure MLto automate decision-making and help the company make faster smarter moves across its enterprise.

What its like to work here:

Youll be part of a collaborative innovation-driven environment that values curiosity accountability and hands-on problem solving. The role is based on-site at corporate headquarters in Grandville Michigan where youll collaborate closely with IT and operations teams to design and deliver smart data-powered solutions that make a real impact.

Team members are encouraged to bring fresh ideas experiment with new technologies and take ownership of solutions from concept to completionall while contributing to a mission grounded in sustainability and continuous improvement.

What you will get to do:

Design and develop automated data pipelines that integrate AI and machine learning services to process enrich and deliver high-value data for analytics and automation use cases.
Build maintain and optimize SQL Server ELT workflows and Python-based automation scripts.
Connect to external APIs (OpenAI Anthropic Azure ML and other SaaS systems) to retrieve transform and post data as part of end-to-end workflows.
Partner with business stakeholders to identify manual workflows and translate them into AI-enabled automations.
Work with software developers to integrate automation logic directly into enterprise applications.
Implement and monitor data quality reliability and observability metrics across pipelines.
Apply performance tuning and best practices for database and process efficiency.
Develop and maintain reusable Python modules and configuration standards for automation scripts.
Support data governance and version control processes to ensure consistency and transparency across environments.
Collaborate closely with analytics software and operations teams to prioritize and deliver automation solutions that create measurable business impact.

What will make you successful:

Bachelors degree or equivalent experience in data engineering computer science or software development.
Must have personally owned an automated pipeline end-to-end (design build deploy maintain).
Minimum 3 years hands-on experience building production data pipelines using Python and SQL Server. Contract academic bootcamp or coursework experience does not qualify.
Intermediate to advanced Python development skills particularly for data and API automation.
Experience working with RESTful APIs and JSON data structures.
Familiarity with AI/ML API services (OpenAI Anthropic Azure ML etc.) and their integration into data workflows.
Experience with modern data stack components such as Fivetran dbt or similar tools preferred.
Knowledge of SQL Server performance tuning and query optimization.
Familiarity with Git and CI/CD workflows for data pipeline deployment.
Bonus: Experience deploying or maintaining RPA or AI automation solutions.

We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.

Required Experience:

Data Engineer - Grandville MIDISHER is currently partnering with a leading recycling and sustainability company that transforms scrap materials into reusable resourceshelping industries reduce waste and build a more circular economy. Theyre looking for a Data Engineer to help push their digital inno...

Data Engineer - Grandville MI

What its like to work here:

What you will get to do:

Design and develop automated data pipelines that integrate AI and machine learning services to process enrich and deliver high-value data for analytics and automation use cases.
Build maintain and optimize SQL Server ELT workflows and Python-based automation scripts.
Connect to external APIs (OpenAI Anthropic Azure ML and other SaaS systems) to retrieve transform and post data as part of end-to-end workflows.
Partner with business stakeholders to identify manual workflows and translate them into AI-enabled automations.
Work with software developers to integrate automation logic directly into enterprise applications.
Implement and monitor data quality reliability and observability metrics across pipelines.
Apply performance tuning and best practices for database and process efficiency.
Develop and maintain reusable Python modules and configuration standards for automation scripts.
Support data governance and version control processes to ensure consistency and transparency across environments.
Collaborate closely with analytics software and operations teams to prioritize and deliver automation solutions that create measurable business impact.

What will make you successful:

Bachelors degree or equivalent experience in data engineering computer science or software development.
Must have personally owned an automated pipeline end-to-end (design build deploy maintain).
Minimum 3 years hands-on experience building production data pipelines using Python and SQL Server. Contract academic bootcamp or coursework experience does not qualify.
Intermediate to advanced Python development skills particularly for data and API automation.
Experience working with RESTful APIs and JSON data structures.
Familiarity with AI/ML API services (OpenAI Anthropic Azure ML etc.) and their integration into data workflows.
Experience with modern data stack components such as Fivetran dbt or similar tools preferred.
Knowledge of SQL Server performance tuning and query optimization.
Familiarity with Git and CI/CD workflows for data pipeline deployment.
Bonus: Experience deploying or maintaining RPA or AI automation solutions.

Required Experience: