Software Engineer

Software Engineer: Advanced AnalyticsYou will bring together software engineering, analytics, and robust deployment practices to move analytics solutions reliably from prototype to production. This includes building scalable pipelines, deploying and monitoring analytics applications, integrating enterprise systems and services, and ensuring security, governance, and operational reliability. You have experience building and deploying production analytics solutions and enjoy solving challenges at the intersection of software engineering, industrial data, and cloud platforms. We value strong engineering fundamentals, hands-on deployment experience, and the ability to collaborate with data scientists, domain experts, and business stakeholders.What you'll be doing:Design, build, and maintain end-to-end analytics pipelines from development through deployment and monitoring.Write production-quality Python code using modern software engineering practices, including testing, logging, and error handling.Design deployment architectures that can run across Databricks, Azure, containers, and other cloud environments.Implement orchestration patterns including routing, handoffs, fallback logic, and failure handling.Develop resilient analytics capable of handling real-world data challenges such as missing data, delayed data, communication outages, sensor failures, and inconsistent telemetry.Build and support analytics solutions using time-series data from OT, IoT, and industrial systems.Develop CI/CD pipelines using GitHub Actions, Azure DevOps, or similar technologies.Establish monitoring, observability, and operational support for analytics applications, services, and pipelines.Perform data analysis using SQL to support AI and pipeline development.Develop operational dashboards and visualizations to monitor analytics performance, system health, data quality, and business outcomes.Collaborate with engineering, analytics, product, and business teams to deliver scalable solutions.Apply security, governance, and Responsible AI practices including access controls, auditability, and data protection.What you bring:Background in Software Engineering, Analytics Engineering, Data Engineering, AI Engineering, or a related technical field.Strong Python skills including design patterns, testing, packaging, logging, and API integration.Hands-on experience building, deploying, and supporting production software or analytics solutions.Experience designing and maintaining deployment pipelines, CI/CD workflows, monitoring, and operational support for production systems.Experience working with time-series data and industrial, IoT, or OT data sources.Understanding of common operational data challenges including missing, delayed, noisy, or unreliable sensor data.Knowledge of electrical power systems, energy systems, industrial automation, or related engineering domains.Experience deploying applications using containerized and cloud-native architectures.Experience designing solutions across Databricks, Azure, and similar environments.Experience with GitHub Actions, Azure DevOps, or equivalent CI/CD platforms.Strong SQL (Spark SQL / Delta; relational databases a plus)Familiarity with Power BI, Tableau, or Looker.Bachelor's degree with 5+ years of relevant experience, or Master's degree with 3+ years of relevant experience.What's in it for me?High-impact work on innovative AI projects that shape business strategy Collaborative team culture with talented professionals who support your growth Opportunities to expand your expertise and stay at the forefront of AI technology Autonomy to guide technical decisions and set your own prioritiesAt Schneider, we believe that every employee is a talent who deserves equal opportunities. This means you matter. Every individual needs to feel valued, supported, and treated fairly to do their best work. Our Total Rewards is our way of saying: "We see you. We value you". It's more than just pay and benefits- it's a meaningful investment in you. It is designed for you to perform, grow, feel safe, and elevate your potential to shine as an impact maker. For this U.S. based position, the expected pay range is USD 117,600 - USD 176,400 per year. This pay range includes base pay and short-term incentives. The compensation range for this full-time position applies to candidates located within the United States. Our pay ranges are determined by reviewing roles of similar responsibility and level. Within the pay range, individual pay is determined by several factors including performance, knowledge, job-related skills, experience, and relevant education or training.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! €40 billion global revenue +9% organic growth 150 000+ employees in 100+ countriesYou 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. 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. 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.