> Markdown version of [/jobs/ext/3973740-data-support-engineer](https://www.wearedevelopers.com/jobs/ext/3973740-data-support-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Data Support Engineer

- **Company:** Pro Mach Inc
- **Location:** United States (Remote available)
- **Experience:** Starter
- **Contract:** Permanent contract
- **Skills:** Business Analytics Applications, Data Analysis, Microsoft Basic Data Partition, Business Software, Software Documentation, Information Systems, Computer Programming, Data Cleansing, Information Engineering, Data Governance, Data Integration, Extract Transform Load (ETL), Python (Programming Language), Microsoft Dynamics, Power BI, Cloud Services, SAP (Applications), SQL Databases, Tableau (Software), User Provisioning Software, Enterprise Data Management, Software Troubleshooting, Information Technology, Syteline, Data Analytics, Data Management, Tools for Reporting, Databricks
- **Published:** October 27, 2026
- **Apply:** https://www.adzuna.com/details/5862027355

## About the Role

* Bachelor's degree in Information Systems, Computer Science, Data Analytics, or related field, or equivalent work experience.

 * 0-3 years of experience in IT support, analytics, data management, or related technical roles.

 * Basic understanding of databases and SQL.

 * Strong troubleshooting and problem-solving skills.

 * Excellent customer service and communication skills.

 * Ability to manage multiple priorities in a fast-paced environment.

 * Strong attention to detail and commitment to data accuracy.

Preferred Qualifications

 * Exposure to reporting and analytics platforms such as Power BI or Tableau.

 * Basic knowledge of ETL/ELT concepts and data integration processes.

 * Experience with ERP systems such as SyteLine, SAP, Dynamics, or similar business applications.

 * Familiarity with cloud data platforms such as Databricks.

 * Basic programming experience in SQL, Python, or similar technologies.

 * Understanding of master data management and data governance concepts.

What's in it for you?

There's no monopoly on innovative ideas or limits to how far you can advance with our team. We offer an open, communicative environment that fosters individual initiative. We pride ourselves in being a company where people are happy and choose to build a career.

## Description

Join ProMach and shine. Whether you're creative, strategic, persuasive, or mechanically inclined, there's a place for you here. Be a problem-solver, a closer, a futurist - whatever drives you.

At ProMach, you'll be challenged and rewarded as you help improve packaging performance and shape the future of automation. And we'll be proud to have you on the journey.

Do we have your attention? Keep reading.
The Data Support Engineer is responsible for providing Tier 1 support for the enterprise data platform while developing foundational data engineering skills. This role serves as the first point of contact for data-related incidents, user access requests, reporting issues, and platform support needs. The position also assists with data integration monitoring, user provisioning, documentation, and basic data engineering activities. The successful candidate will work closely with Data Engineers, Business Analysts, Data Stewards, and business users across the organization.

Key Responsibilities

 * Serve as the first point of contact for data platform support requests and incidents.

 * Monitor daily data loads, integrations, and scheduled processes.

 * Investigate and resolve routine data issues and escalate complex problems when necessary.

 * Respond to user questions regarding dashboards, reports, datasets, and data availability.

 * Create and maintain support documentation and knowledge base articles.

 * Provision, modify, and remove user access across data and reporting platforms.

 * Support data quality validation activities and investigate data discrepancies.

 * Assist with data cleansing, transformation, and standardization efforts.

 * Participate in testing and deployment activities for new data integrations.

 * Help maintain data dictionaries, lineage documentation, and technical specifications.

 * Work directly with business users to understand data-related issues and requirements.

 * Educate users on available reporting tools and data resources.

 * Assist with training materials and user documentation.