Senior Staff Engineer - Senior Data Engineer

Nagarro • Grand-Prairie, TX

11d • Onsite

About The Position

We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work on a scale across all devices and digital mediums, and our people exist everywhere in the world (18000 plus experts across 40 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in! This role is for a Senior Data Engineer located in Grand-Prairie, Texas, and is a full-time employee position with an onsite work model (4 days a week in the office, Monday - Thursday). The role requires 8-10 years of experience, with a strong preference for experience in manufacturing, including shop floor operations, production planning, and systems like MES, SCADA, and ERP. Proficiency in industrial protocols (OPC-UA, MQTT, Modbus) is needed to bridge OT/IT systems for real-time data extraction. Applied experience with OEE, Six Sigma, SPC, and lean methodologies is also desired to drive measurable gains in yield, uptime, and efficiency. The core of the role involves skilled data engineering, specifically building scalable cloud data pipelines for high-volume manufacturing and IoT data using Spark, Kafka, Airflow, and Delta Lake. Strong SQL and Python proficiency are essential, along with hands-on experience in medallion/lakehouse architectures on platforms like Databricks, Snowflake, AWS, or Azure.

Requirements

• Minimum 8 - 10 years of experience.
• Strong in SQL and Python proficiency.
• Hands-on experience in medallion/lakehouse architectures on Databricks, Snowflake, AWS, or Azure.

Nice To Haves

• 8–10 years in manufacturing with hands-on experience in shop floor operations, production planning, and systems including MES, SCADA, and ERP.
• Proficient in industrial protocols (OPC-UA, MQTT, Modbus).
• Applied experience with OEE, Six Sigma, SPC, and lean methodologies.

Responsibilities

• Build scalable cloud data pipelines for high-volume manufacturing and IoT data using Spark, Kafka, Airflow, and Delta Lake.
• Bridge OT/IT systems for real-time data extraction using industrial protocols (OPC-UA, MQTT, Modbus).
• Apply OEE, Six Sigma, SPC, and lean methodologies to drive measurable gains in yield, uptime, and efficiency.
• Utilize strong SQL and Python proficiency for data engineering tasks.
• Implement and work with medallion/lakehouse architectures on Databricks, Snowflake, AWS, or Azure.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed