Senior Data Engineer
Description For Senior Data Engineer
Bright Machines, a pioneering company in manufacturing automation, is seeking a Senior Data Engineer to help transform the manufacturing industry through intelligent automation. This role combines data analysis expertise with data engineering fundamentals, working at the intersection of software and manufacturing innovation. The position offers an opportunity to shape the future of Software-Defined Manufacturing while working with cutting-edge technology.
The role involves designing and implementing scalable data pipelines, managing large datasets, and ensuring data accuracy across the company. You'll be responsible for both analytical and engineering tasks, working with real-time streaming data and batch workloads from multiple sources. The position requires collaboration with cross-functional teams, including product managers and automation engineers, to drive key business insights and manufacturing operations.
Bright Machines has been recognized as a "Technology Pioneer" by the World Economic Forum and named one of "America's Most Promising Artificial Intelligence Companies" by Forbes. The company offers a collaborative and inclusive work environment, focusing on both team success and individual growth. This is an excellent opportunity for someone passionate about modernizing manufacturing through data-driven solutions and intelligent automation.
The ideal candidate will bring 5+ years of experience in data engineering, strong technical skills in Python and SQL, and the ability to translate complex data into actionable insights. You'll work with various data sources and formats, implement data quality frameworks, and lead the implementation of BI and Big Data tools. The role offers competitive compensation and the chance to make a lasting impact in manufacturing automation.
Responsibilities For Senior Data Engineer
- Design, implement, and maintain resilient and scalable data pipelines
- Create and maintain data models, schemas, and metadata
- Develop and maintain event-driven data processing systems
- Oversee data performance and accessibility
- Implement data quality checks and monitoring systems
- Collaborate with stakeholders to define KPIs
- Automate data workflows using scripting and orchestration tools
- Research and resolve data quality and performance issues
- Lead implementation of BI and Big Data tools
- Define dataset standards and optimize data collection applications
Requirements For Senior Data Engineer
- 5+ years of experience in data analysis and/or data engineering
- Bachelor's degree in Data Science, Engineering, Computer Science, or related field
- Strong knowledge of data architecture, ETL/ELT processes, and data warehousing solutions
- Proficiency in Python, including pandas, NumPy, and SQLAlchemy
- Expertise in working with various data sources and formats
- Experience with version control systems (Git) and CI/CD pipelines
- Strong experience with SQL for data querying
- Ability to transform data into actionable insights
- Ability to manage data systems and collaborate with cross-functional teams
