Senior Staff Data Engineer (Manufacturing)

TL;DR

Senior Staff Data Engineer (Manufacturing): Building scalable cloud data pipelines for high‑volume manufacturing and IoT data with an accent on medallion/lakehouse architectures. Focus on bridging OT/IT systems for real‑time data extraction and implementing lean methodologies to drive operational efficiency.

Location: Remote, USA

Company

hirify.global is a global Digital Product Engineering company with over 17,000 experts across 39 countries, focusing on building inspiring digital products and services.

What you will do

• Build scalable cloud data pipelines for high-volume manufacturing and IoT data using Spark, Kafka, Airflow, and Delta Lake.
• Implement and optimize medallion/lakehouse architectures on Databricks, Snowflake, AWS, or Azure.
• Bridge OT/IT systems using industrial protocols like OPC-UA, MQTT, and Modbus for real-time data extraction.
• Utilize OEE, Six Sigma, SPC, and lean methodologies to drive measurable gains in yield, uptime, and efficiency.
• Collaborate on systems including MES, SCADA, and ERP to optimize shop floor operations and production planning.

Requirements

• Minimum 8-10 years of professional experience.
• Strong proficiency in SQL and Python.
• Hands-on experience with medallion/lakehouse architectures on Databricks, Snowflake, AWS, or Azure.
• Must be based in the United States.

Culture & Benefits

• Dynamic and non-hierarchical work culture.
• Fully remote work arrangement.
• Inclusive environment committed to diversity and equal opportunity.
• Opportunity to grow within a rapidly scaling global engineering firm.