Jobgether
Senior Staff Engineer - Senior Data Engineer
TLDR
Lead design and scaling of lakehouse data platforms and real-time pipelines for industrial analytics across OT/IT ecosystems.
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.
- 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.
Requirements:
Benefits:
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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Benefits
Inclusive and diverse workplace culture
Inclusive and diverse workplace culture supporting equal opportunity employment.
Remote-Friendly
Fully remote work opportunity within the United States.
Jobgether runs the largest remote job platform, effectively linking job seekers with over 200,000 flexible and remote opportunities that match their unique skills and preferences. Our focus is on enhancing the hiring process, ensuring efficiency while prioritizing the candidate experience, particularly in the growing health and wellness sector.
- Founded
- Founded 2020
- Employees
- 11-50 employees
- Industry
- Professional Services
Senior Data Engineer