Senior Staff Engineer - Senior Data Engineer in United States at Jobgether
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Job Description
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Staff Engineer – Senior Data Engineer based in the United States.
This is a senior-level data engineering role focused on building and scaling modern data platforms that power industrial and manufacturing intelligence.
You will design and implement high-performance data pipelines that connect OT and IT environments, enabling real-time visibility across production systems.
The role blends deep data engineering expertise with manufacturing domain knowledge to improve operational efficiency, quality, and throughput.
You will work with large-scale IoT and shop floor data, transforming complex signals into actionable insights for business and engineering teams.
A key part of the role involves architecting cloud-based lakehouse solutions that support advanced analytics and AI-driven decision-making.
You will collaborate with cross-functional stakeholders across engineering, operations, and product teams in a global, fast-paced environment.
This is a high-impact opportunity for a senior engineer passionate about industrial data, scalable systems, and digital transformation.
- 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.
- 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.
- Competitive compensation package aligned with senior-level engineering expertise.
- Fully remote work opportunity within the United States.
- Exposure to cutting-edge industrial data, IoT systems, and large-scale cloud architectures.
- Opportunity to work on global digital transformation and smart manufacturing initiatives.
- Collaborative, international environment with highly skilled engineering teams.
- Strong focus on innovation, modern data stack adoption, and technical growth.
- Inclusive and diverse workplace culture supporting equal opportunity employment.