Senior Staff Engineer - Senior Data Engineer
We are a digital product engineering company scaling globally, building products, services, and experiences that inspire and delight. With over 18,000 experts across 40 countries, we foster a dynamic, non-hierarchical work culture.
About the role
This onsite role (4 days a week in the office Monday–Thursday) is based in Grand Prairie, Texas. The ideal candidate brings 8–10 years of experience, ideally in manufacturing, with hands-on expertise in shop floor operations, production planning, and systems such as MES, SCADA, and ERP. You’ll bridge OT/IT systems using industrial protocols (OPC-UA, MQTT, Modbus) to enable real-time data extraction and apply OEE, Six Sigma, SPC, and lean methodologies to drive measurable improvements in yield, uptime, and efficiency.
As a Senior Data Engineer, you’ll build scalable cloud data pipelines for high-volume manufacturing and IoT data using Spark, Kafka, Airflow, and Delta Lake. Strong SQL and Python skills are essential, along with hands-on experience in medallion/lakehouse architectures on Databricks, Snowflake, AWS, or Azure.
Responsibilities
- Design and implement scalable cloud data pipelines for manufacturing and IoT data using Spark, Kafka, Airflow, and Delta Lake.
- Bridge OT/IT systems to enable real-time data extraction via industrial protocols (OPC-UA, MQTT, Modbus).
- Apply OEE, Six Sigma, SPC, and lean methodologies to drive measurable gains in yield, uptime, and efficiency.
- Develop and optimize medallion/lakehouse architectures on Databricks, Snowflake, AWS, or Azure.
Requirements
- Minimum 8–10 years of experience in data engineering or a related field.
- Strong proficiency in SQL and Python.
- Hands-on experience with medallion/lakehouse architectures on Databricks, Snowflake, AWS, or Azure.
- Experience with manufacturing systems (MES, SCADA, ERP) and shop floor operations (preferred but optional).
- Familiarity with industrial protocols (OPC-UA, MQTT, Modbus).
Nagarro is an equal opportunity employer committed to diversity and inclusion.