For this U.S. based position, the expected compensation range is $112,000 - $168,000 per year, which includes base pay and short-term incentive.
The compensation range for this full-time position applies to candidates located within the United States. Our salary ranges are determined by reviewing roles of similar responsibility and level. Within the salary range, individual pay is determined by several factors including performance, knowledge, job-related skills, experience, and relevant education or training. Schneider Electric also offers a comprehensive benefits package to support our employees, inclusive of medical (with member reward points), dental, vision, and basic life insurance, Benefit Bucks (credits to apply towards your benefits) flexible work arrangements, paid family leaves, 401(k) + match, well-being and recognition (including service anniversary) programs, 12 holidays per year, 15 days of paid time off per year (pro-rated in the first year of employment based on start date), opportunity to purchase company stock (eligibility depends on start date), and military leave benefits.
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You must submit an online application to be considered for the position. The Company will accept applications on an ongoing basis until the position is filled.
Schneider Electric has a challenging opportunity for a passionate individual to assume the role of Data Engineer, System.AI Services in our Power Systems and Services division.
We are seeking a skilled Data Engineer for AI to join our dynamic team. This role involves designing, developing, and maintaining the data infrastructure required for AI and machine learning projects. The ideal candidate will have strong technical skills, a deep understanding of data architecture, and experience in handling large-scale data systems.
Key Responsibilities:
1. Data Pipeline Development:
- Design, implement, and optimize data pipelines to support AI and machine learning models.
- Ensure data is collected, stored, and processed efficiently and reliably.
- Develop ETL (Extract, Transform, Load) processes to integrate data from various sources.
2. Data Management:
- In collaboration with Technical delivery team, manage and maintain databases and data warehouses.
- Ensure data integrity, quality, and availability for AI applications.
- Implement data governance and security measures to protect sensitive information.
3. Collaboration:
- Work closely with data scientists, AI researchers, and software engineers to understand data requirements and deliver solutions.
- Collaborate with cross-functional teams to integrate data solutions into AI products and services.
4. Optimization and Performance:
- Monitor and improve the performance of data systems.
- Optimize data storage and retrieval processes for speed and efficiency.
- Implement indexing, partitioning, and other optimization techniques.
5. Innovation and Improvement:
- Stay updated with the latest advancements in data engineering and AI technologies.
- Continuously seek opportunities to improve existing data infrastructure and processes.
- Contribute to the development of best practices and standards in data engineering.
6. Documentation and Reporting:
- Maintain comprehensive documentation of data systems, processes, and architectures.
- Prepare regular reports on data pipeline performance, data quality, and system reliability.
- Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field. Master's degree preferred.
- 3+ years of experience in data engineering, with a focus on supporting AI or machine learning projects.
- Proficiency in programming languages such as Python, Java, or Scala.
- Strong experience with SQL and NoSQL databases (e.g., PostgreSQL, MongoDB).
- Familiarity with big data technologies (e.g., Hadoop, Spark, Kafka).
- Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and their data services.
- Solid understanding of data modeling, ETL processes, and data warehousing.
- Knowledge of data governance, security, and privacy best practices.
Preferred Skills:
- Experience with AI and machine learning frameworks (e.g., TensorFlow, PyTorch).
- Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes).
- Knowledge of version control systems (e.g., Git).
- Strong analytical and problem-solving skills.
- Excellent communication and teamwork abilities.
Let us learn about you! Apply today.
You must submit an online application to be considered for any position with us. This position will be posted until filled.
Looking to make an IMPACT with your career?
When you are thinking about joining a new team, culture matters. At Schneider Electric, our values and behaviors are the foundation for creating a great culture to support business success. We believe that our IMPACT values - Inclusion, Mastery, Purpose, Action, Curiosity, Teamwork - starts with us.
IMPACT is also your invitation to join Schneider Electric where you can contribute to turning sustainability ambition into actions, no matter what role you play. It is a call to connect your career with the ambition of achieving a more resilient, efficient, and sustainable world.
We are looking for IMPACT Makers; exceptional people who turn sustainability ambitions into actions at the intersection of automation, electrification, and digitization. We celebrate IMPACT Makers and believe everyone has the potential to be one.
Become an IMPACT Maker with Schneider Electric - apply today!
36 billion global revenue
+13% organic growth
150 000+ employees in 100+ countries
#1 on the Global 100 World's most sustainable corporations
You must submit an online application to be considered for any position with us. This position will be posted until filled.
Schneider Electric aspires to be the most inclusive and caring company in the world, by providing equitable opportunities to everyone, everywhere, and ensuring all employees feel uniquely valued and safe to contribute their best. We mirror the diversity of the communities in which we operate, and 'inclusion' is one of our core values. We believe our differences make us stronger as a company and as individuals and we are committed to championing inclusivity in everything we do. This extends to our Candidates and is embedded in our Hiring Practices.
You can find out more about our commitment to Diversity, Equity and Inclusion here and our DEI Policy here
At Schneider Electric, we uphold the highest standards of ethics and compliance, and we believe that trust is a foundational value. Our Trust Charter is our Code of Conduct and demonstrates our commitment to ethics, safety, sustainability, quality and cybersecurity, underpinning every aspect of our business and our willingness to behave and respond respectfully and in good faith to all our stakeholders. You can find out more about our Trust Charter here
Schneider Electric is an Equal Opportunity Employer. It is our policy to provide equal employment and advancement opportunities in the areas of recruiting, hiring, training, transferring, and promoting all qualified individuals regardless of race, religion, color, gender, disability, national origin, ancestry, age, military status, sexual orientation, marital status, or any other legally protected characteristic or conduct.