Software Engineer - Analytics

Schneider Electric; Andover (MA); Hybrid; USD 118,000 - 176,000; Full time

Benefits offered by this job

Medical/dental/vision benefits

Paid time off 15 days

12 holidays per year

401(k) with match

Flexible work arrangements

Job summary

Schneider Electric is seeking a Software Engineer for Advanced Analytics in the United States. You will design, build, and deploy scalable analytics pipelines, write production-quality Python, and implement cloud deployments across Databricks and Azure. Collaboration with data scientists and business teams is essential.

You’ll also develop CI/CD pipelines, establish monitoring and governance, and work with time-series data from industrial systems to drive AI-enabled insights.

Qualifications

• Bachelor’s degree in a technical field with 5+ years of relevant experience or Master’s with 3+ years of experience.
• Experience building and deploying production analytics solutions and collaborating with data scientists and business stakeholders.
• Strong Python skills, testing, packaging, logging, and API integration.

Responsibilities

• Design, build, and maintain end-to-end analytics pipelines from development through deployment and monitoring.
• Write production-quality Python code with testing, logging, and error handling.
• Design deployment architectures across Databricks, Azure, containers, and cloud environments.
• Develop CI/CD pipelines using GitHub Actions, Azure DevOps, or similar tools.
• Establish monitoring, observability, and operational support for analytics applications and pipelines.
• Perform data analysis using SQL to support AI and pipeline development.

Skills

Python

CI/CD

SQL

Time-series data

Cloud platforms

Data engineering

Education

Bachelor's degree in a technical field

Master's degree preferred

Tools

Databricks

Azure

Containerization

GitHub Actions

Azure DevOps

Power BI

Tableau/Looker

Job description

Software Engineer: Advanced Analytics

You 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.

You might also have

• Experience with Databricks Workflows, Delta Live Tables, or Apache Spark.
• Experience with Azure Machine Learning, Azure AI Foundry, AKS, or Container Apps.

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 priorities

At 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.

Schneider Electric is there when it matters most to you

Our Total Rewards package outlines all the benefits and support you’ll enjoy as part of the Schneider Electric team:

• Care for Yourself and Your Family. We ensure you feel secure with benefits that help you and your family thrive: medical (with member reward points), dental, vision, and basic life insurance, Benefit Bucks, flexible work arrangements, paid family leaves, well‑being programs, 12 holidays per year, and 15 days of paid time off per year.
• Invest and Plan Your Future. We help you plan and invest for the future with competitive pay and programs including base salary, incentives, company share ownership, and 401(k) with match.
• Grow Your Skills and Career. We support development through performance discussions, global opportunities, the Schneider Career Hub, and learning platforms like Coursera.
• Team Up in the Workplace. We encourage collaboration, recognition, sharing your voice, and an inclusive workplace.
• Support Your Community. We make a difference through volunteer leave, programs with the Schneider Electric Foundation, youth education initiatives, and military leave benefits.

If you believe this job posting is not compliant with applicable state pay transparency laws in the U.S., please notify the Company as soon as possible upon discovery by completing this form Job Posting Compliance Form.

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.

€40 billion global revenue
+9% organic growth
150 000+ employees in 100+ countries

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. 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.