
1001 - 5000 employees
🏭 Manufacturing
🤝 B2B
🔧 Hardware
💰 Private equity on 2023-06
Manufacturing • B2B • Hardware
ProMach is a global provider of processing and packaging equipment, integrated systems, and services for consumer packaged goods (CPG) and pharmaceutical manufacturers. The company assembles best-in-class brands into business lines that cover the full packaging line — from processing, filling and bottling to labeling, coding, robotics, end-of-line and turnkey conveyor and integration services. ProMach markets equipment and engineering solutions (including sterilization/pasteurization, pouch and tray systems, capping, labeling, palletizing and digital intelligence for production lines) and reports 150,000+ machines in the field, 50+ go-to-market product brands, 90+ manufacturing and sales locations, and 6,000+ employees worldwide.
🕒 August 28
🐊 Florida, Illinois, +8 more states – Remote
⏰ Full Time
🟡 Mid-level
🟠 Senior
🚰 Data Engineer
👻 Ghost score 11%
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1001 - 5000 employees
🏭 Manufacturing
🤝 B2B
🔧 Hardware
💰 Private equity on 2023-06
Manufacturing • B2B • Hardware
ProMach is a global provider of processing and packaging equipment, integrated systems, and services for consumer packaged goods (CPG) and pharmaceutical manufacturers. The company assembles best-in-class brands into business lines that cover the full packaging line — from processing, filling and bottling to labeling, coding, robotics, end-of-line and turnkey conveyor and integration services. ProMach markets equipment and engineering solutions (including sterilization/pasteurization, pouch and tray systems, capping, labeling, palletizing and digital intelligence for production lines) and reports 150,000+ machines in the field, 50+ go-to-market product brands, 90+ manufacturing and sales locations, and 6,000+ employees worldwide.
• Design, build, and maintain scalable data pipelines using Databricks, Apache Spark, and Delta Lake • Develop and manage ETL/ELT workflows for extracting, transforming, and loading data from diverse source systems • Monitor and resolve issues with scheduled data-movement jobs • Contribute to data models and architecture for data lakes and data warehouses • Guide architecture and platform decisions supporting reporting and analytics • Integrate data solutions with Azure, AWS, GCP, and related cloud services • Implement data quality checks, monitoring, and data governance practices • Implement and maintain CI/CD pipelines to automate deployment and streamline workflows • Collaborate with business analysts and stakeholders to define data requirements and deliver actionable insights
• Proven experience in data engineering and cloud-based development • 3-5 years’ experience in a similar role • Expertise in Databricks and the broader Databricks ecosystem, including Databricks SQL, Delta Lake, and Databricks Runtime • Proficiency in SQL, Python, and Apache Spark • Experience with Azure, AWS, or GCP • Strong understanding of data modeling, ETL/ELT, and data warehousing concepts • Experience with CI/CD tools and practices • Excellent problem-solving, analytical, and communication skills • Eager to learn new skills and step in to deliver where needed • Bachelor’s Degree in Information Systems, Computer Science, or related field, or equivalent work experience • Pro Mach uses E-Verify to verify employment eligibility of all new hires to work in the United States • Drug-free workplace
• Salary • Comprehensive medical/dental programs • Life insurance • Generous paid time off program • Retirement savings plan with a company match • No waiting period for benefits; eligible on the first day of employment • Growth opportunities • Open, communicative environment fostering individual initiative
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