Senior Staff Data Engineer
New
Based in the United StatesFull-TimeStaff
Salary not disclosed
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Job Details
- Experience
- 8–10+ years
- Required Skills
- AWSPythonSQLKafkaSnowflakeAirflowAzureData engineeringSparkDatabricks
Requirements
- 8–10+ years of experience in data engineering, with strong exposure to large-scale data systems and cloud-based architectures.
- Strong proficiency in SQL and Python for data processing, transformation, and pipeline development.
- Hands-on experience with modern data platforms such as Databricks, Snowflake, AWS, or Azure.
- Solid understanding of lakehouse and medallion architecture patterns.
- Experience working with streaming and batch data processing frameworks such as Spark, Kafka, and Airflow.
- Familiarity with manufacturing environments, including MES, SCADA, ERP systems, and shop floor operations (preferred).
- Knowledge of industrial protocols such as OPC-UA, MQTT, and Modbus (strong advantage).
- Understanding of manufacturing performance metrics and methodologies such as OEE, Six Sigma, and SPC.
- Strong problem-solving skills with the ability to operate in complex, data-rich environments.
Responsibilities
- Design, build, and optimize scalable data pipelines to process high-volume manufacturing and IoT data using modern distributed systems and cloud platforms.
- Develop and maintain integrations between OT systems (MES, SCADA, PLCs) and IT environments to enable real-time and batch data ingestion.
- Architect and implement lakehouse and medallion data structures across platforms such as Databricks, Snowflake, AWS, or Azure.
- Work with industrial protocols (OPC-UA, MQTT, Modbus) to extract, normalize, and stream production data from shop floor systems.
- Apply manufacturing and process improvement methodologies (OEE, Six Sigma, SPC, Lean) to support performance optimization and operational insights.
- Build reliable data workflows using tools such as Spark, Kafka, Airflow, and related data engineering technologies.
- Collaborate with cross-functional teams to translate business and manufacturing requirements into scalable technical solutions.
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