Senior Staff Engineer - Senior Data Engineer [Remote]

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.

Accountabilities:

• 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.

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.

Benefits:

• 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.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.